• "Druid: Powering Interactive Data Applications at Scale" by Fangjin Yang

    Cluster computing frameworks such as Hadoop or Spark are tremendously beneficial in processing and deriving insights from data. However, long query latencies make these frameworks sub-optimal choices to power interactive applications. Organizations frequently rely on dedicated query layers, such as relational databases and key/value stores, for faster query latencies, but these technologies suffer many drawbacks for analytic use cases. In this session, we discuss using Druid for analytics, and why the architecture is well suited to power analytic applications. User facing applications are replacing traditional reporting interfaces as the preferred means for organizations to derive value from their datasets. In order to provide an interactive user experience, user interactions with analyti...

    published: 17 Sep 2016
  • RINSE: Interactive Data Series Exploration

    URL: http://daslab.seas.harvard.edu/rinse People: Kostas Zoumpatianos (University of Trento), Stratos Idreos (Harvard University), Themis Palpanas (Paris Descartes University) Information: ------------------ Numerous applications continuously produce big amounts of data series, and in several time critical scenarios analysts need to be able to query these data as soon as they become available, which is not currently possible with the state-of-the-art indexing methods and for very large data series collections. We develop the first adaptive data series indexing mechanism, called ADS+, specifically tailored to solve the problem of indexing and querying very large data series collections. The main idea is that instead of building the complete index over the complete data set up-front a...

    published: 11 Jun 2015
  • HDInsight Interactive Query with Power BI

    Using HDInsight Interactive Query with PowerBI Direct Query

    published: 12 Dec 2017
  • Interactive Data Analytics and Visualization with Collaborative Documents

    Hassan Chafi, Director, Research & Advanced Development, Oracle Zeppelin, Jupyter, Databricks: notebooks are everywhere. This session presents the Oracle Labs Data Studio, a JVM-based notebook interface for data analysts built on Apache Zeppelin and Oracle JavaScript Extension Toolkit (Oracle JET). It shows use cases that focus on graph visualization and how to visually apply graph algorithms with interpreters such as Apache Spark, databases, and the graph analytic framework PGX. Using notebooks, you can combine different languages such as Groovy, Scala, Python, and the new property graph query language PGQL together with powerful JavaScript-based visualization techniques. The interactive graph visualization supports highlighting, expansion, filter application, and much more. Everything i...

    published: 04 Oct 2017
  • Interactive Data Analytics with Couchbase N1QL at Nielsen – Couchbase Connect 2015

    In this session we’ll discuss how Couchbase’s query language, N1QL provided Nielsen with an interactive querying capability that significantly increased our ability to gather meaningful insights into stored client data. In this session, you will learn how we gather those insights and interact with data analytics while leveraging SQL for JSON, N1QL. For context, Nielsen’s Answers on Demand (AOD) services deliver ratings data and other information for businesses in more than 100 countries. With the inflow of massive volumes of data and the requirement to deliver highly targeted results for clients, the ability to sift through datasets quickly and effectively is critical. The AOD services need to provide powerful analytics and reporting capabilities – essentially aggregations on the fly – thr...

    published: 17 Jun 2015
  • Excel 2013: Web Data Query

    In this video I demonstrate how to import data into Excel 2013 via a Web Query.

    published: 25 Sep 2012
  • Succinct Spark: Fast Interactive Queries on Compressed RDDs

    published: 22 Feb 2016
  • Interactive Data Analysis

    Data analysis is a complex process with frequent shifts among data formats and models, and among textual and graphical media. We are investigating how to better support this lifecycle of analysis by identifying critical bottlenecks and developing new methods at the intersection of data visualization, machine learning and computer systems. Can we empower users to transform and clean data without programming? Can we design scalable representations and systems to visualize and query big data in real-time? How might we enable domain experts to guide machine learning methods to produce better models? I will present selected projects that attempt to address these challenges and introduce new tools for interactive visual analysis. Jeffrey Heer Associate Professor UW Computer Science & Engineer...

    published: 20 Nov 2013
  • Interactive Data Analysis - Jeffrey Heer - May 23, 2013

    This talk is part of the symposium, "Data Visualization from Data to Discovery: Art Center + Caltech + JPL", May 23, 2013 | Beckman Auditorium | Caltech, Pasadena, CA, USA | http://www.hi.jpl.nasa.gov/datavis Interactive Data Analysis Data analysis is a complex process with frequent shifts among data formats and models, and among textual and graphical media. We are investigating how to better support this lifecycle of analysis by identifying critical bottlenecks and developing new methods at the intersection of data visualization, machine learning and computer systems. Can we empower users to transform and clean data without programming? Can we design scalable representations and systems to visualize and query big data in real-time? How might we enable domain experts to guide machine lea...

    published: 12 Jun 2013
  • Interactive Data Visualization with Power View

    In this session, we take a deep dive into Power View, Microsoft's interactive data visualization experience. Through some cool demos, learn how to create beautiful, interactive Power View reports while getting a tour of the product's features. Also, learn about the architecture of Power View and related components, and about the different flavors of Power View (Power BI in Office 365 vs. on-premise, Excel desktop vs. Excel Web App vs. Power View Web App) and their differences. If you're eager to gain a deeper understanding of Power View, don't miss this session!

    published: 20 May 2014
  • Web Query Excel 2016: Importing data from a website to your spreadsheet

    Recorded with http://screencast-o-matic.com

    published: 15 Nov 2016
  • Create an Interactive Form with Power Query

    Do you want to add some interactivity to your Excel? You send the Excel file to someone and they can input some cell and have some output dynamically change. Plus do this without writing any VBA! You can do this with Power Query. Though it does involves editing some of the M code (the language Power Query uses), it's not tooooo much. This can also be known as a parameter query because you are passing (some) user defined parameter to the query for it to do some work. This involves creating two queries in Power Query - (1) a function query and then (2) a plain query from a form (basically a table) where someone enters information. See the video to check out the steps. P.S. Feel free to provide a comment or share it with a friend! ----------------------------------------------------...

    published: 20 Sep 2017
  • Apache Carbondata: An Indexed Columnar File Format for Interactive Query by Jacky Li/Jihong Ma

    Realtime analytics over large datasets has become an increasing wide-spread demand, over the past several years, Hadoop ecosystem has been continuously evolving, even complex queries over large datasets can be realized in an interactive fashion with distributed processing framework like Apache Spark, new paradigm of efficient storage were introduced as well to facilitate data processing framework, such as Apache Parquet, ORC provide fast scan over columnar data format, and Apache Hbase offers fast ingest and millisecond scale random access. In this talk, we will outline Apache Carbondata, a new addition to open source Hadoop ecosystem which is an indexed columnar file format aimed for bridging the gap to fully enable real-time analytics abilities. It has been deeply integrated with Spark ...

    published: 14 Feb 2017
  • Clickhouse real data query

    Текст по теме - "Как запустить ClickHouse своими силами и выиграть джекпот" https://habrahabr.ru/company/smi2/blog/314558/

    published: 04 Nov 2016
  • An Interactive Visual Query Environment for Exploring Data

    Direct manipulation of visualizations is a powerful technique for performing exploratory data operations such as navigation, aggregation, and filtering. Its immediacy facilitates rapid, incremental, and reversible forays into the data. However it does not provide for reuse or modification of exploration sessions. This paper describes a visual query language, VQE, that adds these capabilities to a direct manipulation exploration environment called Visage. Queries and visualizations are dynamically linked: operations on either one immediately update the other, in contrast to the feedforward sequence of database query followed by visualization of results common in traditional systems. Accompanies paper at http://www.cs.cmu.edu/~sage/Papers/UIST97/UIST97.html

    published: 01 Jun 2014
  • Marton Kodok - Powering Interactive Data Analysis with Google BigQuery

    published: 25 Dec 2017
  • Druid Interactive Queries Meet Real-Time Data Eric Tschetter and Danny Yuan

    On-the-fly aggregation with human-time (or "interactive") queries against fresh, at-the-moment data represents a growing trend. Many newly announced systems are starting to provide interactive queries on batched data streams. This talk discusses how Druid allows users to have interactive queries on real-time data at scale; we feature a case study with Netflix leveraging Druid to obtain at-the-moment insight as it ingests over two terabytes per hour.

    published: 05 Apr 2013
  • Grouping Data with Power Query

    Grouping data is a common thing most analyst do. If you use Pivot Tables you are most likely grouping data. You can also group data with the Power Query feature in the Excel Power BI tools, but why would you want to do that if you already have the powerful options in a Pivot Table? Well there are some sophisticated things you can do with grouping in Power Query like further manipulating data within the grouped records. It involves learning M code, the query language used in Power Query. I'm not a guru in M language but I was able to understand some of the basics to do this. If I can learn this, so can you! P.S. Feel free to provide a comment or share it with a friend! ------------------------------------------------------------------------------------------------- Subscribe to th...

    published: 04 Dec 2016
  • Interactive Exploratory Analytics with Druid | DataEngConf SF '17

    Recorded at DataEngConf '17: Cluster computing frameworks such as Hadoop or Spark are tremendously beneficial in processing and deriving insights from data. However, long query latencies make these frameworks sub-optimal choices to power interactive applications. Organizations frequently rely on dedicated query layers, such as relational databases and key/value stores, for faster query latencies, but these technologies suffer many drawbacks for analytic use cases. In this session, we discuss using Druid for analytics, and why the architecture is well suited to power analytic applications. User facing applications are replacing traditional reporting interfaces as the preferred means for organizations to derive value from their datasets. In order to provide an interactive user experience, ...

    published: 22 Jul 2017
  • Apache Carbondata: An indexed columnar file format for interactive query with Spark SQL

    Introducing Apache Carbondata: An indexed columnar file format for interactive query with Spark SQL Presented at Bangalore Apache Spark Meetup by Raghunandan from Huawei on 04/02/2017. https://www.meetup.com/Bangalore-Apache-Spark-Meetup/events/236333734/ Connect with Raghunandan at https://www.meetup.com/Bangalore-Apache-Spark-Meetup/members/198715905/

    published: 12 Feb 2017
  • The improved Azure Log Analytics: A powerful query language with machine learning, and more

    Azure Log Analytics is now offering new interactive and expressive query language and advanced analytics portal. The service is now powered by the same highly scalable and low latency data store used by Azure Application Insights Analytics. The query language offers flexible search functions and machine learning constructs to help you get deeper insights from your data. The analytics portal supports multiline editing of queries, new visualizations, and advanced diagnostics – providing a consistent experience across your development and IT operations. Join us to learn more about the new capabilities in Azure Log Analytics and how you can use the insights to bridge the gap between your applications and infrastructure._x000D_

    published: 30 Sep 2017
  • IMF STA Data Portal Query Tutorial

    This tutorial walks through the Query tool, a powerful interactive feature of the IMF Data Portal that allows users to build, export and share custom outputs and visualizations. IMF Data Help: http://datahelp.imf.org/

    published: 24 Jun 2015
  • Real Time API Data pulled into Excel using Microsoft BI tools Power Pivot, Power Query, & Power View

    This video gives an overview of the process by which to pull Seattle Real Time Fire 911 Calls data into Excel using an API. The API is called using Microsoft Power Query, the data is then modeled in Power Pivot, and an interactive data visualization is shown using Microsoft Power View. The API data can be refreshed throughout the day to obtain updated data from the source database.

    published: 29 Jul 2014
  • Acquiring Data with SAP Lumira - Connecting to a BW Query

    Acquiring data is the starting point for any visualization, and SAP Lumira lets you acquire data from a number of sources. This video shows you step by step how to acquire data from a connecte BW Querey, and how to create a simple visualization based on that. SAP Lumira - Unlock the full potential of your data with stunning, interactive visualizations! Learn more on http://www.saplumira.com and on http://scn.sap.com/community/lumira.

    published: 23 Jun 2014
  • Interactively Query and Search your big data

    published: 30 Jun 2015
  • WSO2 Fraud Detection Solution

    The WSO2 Fraud Detection Solution uses batch, real-time, predictive, and interactive analytics capabilities of WSO2 Data Analytics Server to convert domain knowledge into generic rules, implement fraud scoring, utilize Markov models and data clustering to model unknown types of fraud, and obtain interactive data querying and visualizations.

    published: 29 Oct 2015
  • ভিডিওতে দেখুন রোহিঙ্গা মুসলিমদের বর্বর নির্যাতনের চিত্র !!!

    ভিডিওতে দেখুন রোহিঙ্গা মুসলিমদের বর্বর নির্যাতনের চিত্র !!! ----------------------------------------------------------------- Fair Use Disclaimer: This channel may use some copyrighted materials without specific authorization of the owner but contents used here falls under the “Fair Use” as described in The Copyright Act 2000 Law No. 28 of the year 2000 of Bangladesh under Chapter 6, Section 36 and Chapter 13 Section 72. According to that law allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. ------------------------------------------------------------...

    published: 29 Aug 2017
  • Qlik and Presto - What is Presto?

    Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Watch how Qlik uses Presto - to connect to federated big data systems for live, interactive visual analytics.

    published: 26 Oct 2016
  • Apache Hive Installation Step by step in Ubuntu

    http://www.hadooptpoint.com/ Apache Hive Installation Step by step in Ubuntu ,hive installation on hadoop cluster,hive installation on windows,install hadoop-hive ubuntu Hive is a batch processing system and hive jobs takes much latency to execute the quires comparing to other databases like Oracle.In Oracle databases it can supports only GBs of data but in Hive we can execute More than TBs of data.Hive aims to provide acceptable (but not optimal) latency for interactive data browsing, queries over small data sets or test queries.

    published: 10 May 2016
developed with YouTube
"Druid: Powering Interactive Data Applications at Scale" by Fangjin Yang

"Druid: Powering Interactive Data Applications at Scale" by Fangjin Yang

  • Order:
  • Duration: 45:01
  • Updated: 17 Sep 2016
  • views: 8461
videos
Cluster computing frameworks such as Hadoop or Spark are tremendously beneficial in processing and deriving insights from data. However, long query latencies make these frameworks sub-optimal choices to power interactive applications. Organizations frequently rely on dedicated query layers, such as relational databases and key/value stores, for faster query latencies, but these technologies suffer many drawbacks for analytic use cases. In this session, we discuss using Druid for analytics, and why the architecture is well suited to power analytic applications. User facing applications are replacing traditional reporting interfaces as the preferred means for organizations to derive value from their datasets. In order to provide an interactive user experience, user interactions with analytic applications must complete in an order of milliseconds. To meet these needs, organizations often struggle with selecting a proper serving layer. Many serving layers are selected because of their general popularity, without understanding the possible architecture limitations. Druid is an analytics data store designed for analytic (OLAP) queries on event data. It draws inspiration from Google's Dremel, Google's PowerDrill, and search infrastructure. Many large technology companies are switching to Druid for analytics, and we will cover why the technology is a good fit for its intended use cases.
https://wn.com/Druid_Powering_Interactive_Data_Applications_At_Scale_By_Fangjin_Yang
RINSE: Interactive Data Series Exploration

RINSE: Interactive Data Series Exploration

  • Order:
  • Duration: 2:42
  • Updated: 11 Jun 2015
  • views: 663
videos
URL: http://daslab.seas.harvard.edu/rinse People: Kostas Zoumpatianos (University of Trento), Stratos Idreos (Harvard University), Themis Palpanas (Paris Descartes University) Information: ------------------ Numerous applications continuously produce big amounts of data series, and in several time critical scenarios analysts need to be able to query these data as soon as they become available, which is not currently possible with the state-of-the-art indexing methods and for very large data series collections. We develop the first adaptive data series indexing mechanism, called ADS+, specifically tailored to solve the problem of indexing and querying very large data series collections. The main idea is that instead of building the complete index over the complete data set up-front and querying only later, we interactively and adaptively build parts of the index, only for the parts of the data on which the users pose queries. The net effect is that instead of waiting for extended periods of time for the index creation, users can immediately start exploring the data series. In this demonstration we present RINSE, a system that allows users to experience the benefits of ADS+ through an intuitive web interface. It allows them to explore large datasets and find patterns of interest, using nearest neighbor search. Users can either draw queries using a mouse or touch screen or they can select them from other data series collections. RINSE can scale to large data sizes, while drastically reducing the data to query delay: by the time state-of-the-art indexing techniques finish indexing 1 billion data series (and before answering even a single query), adaptive data series indexing can already answer $3*10^5$ queries.
https://wn.com/Rinse_Interactive_Data_Series_Exploration
HDInsight Interactive Query with Power BI

HDInsight Interactive Query with Power BI

  • Order:
  • Duration: 7:54
  • Updated: 12 Dec 2017
  • views: 66
videos
Using HDInsight Interactive Query with PowerBI Direct Query
https://wn.com/Hdinsight_Interactive_Query_With_Power_Bi
Interactive Data Analytics and Visualization with Collaborative Documents

Interactive Data Analytics and Visualization with Collaborative Documents

  • Order:
  • Duration: 44:56
  • Updated: 04 Oct 2017
  • views: 178
videos
Hassan Chafi, Director, Research & Advanced Development, Oracle Zeppelin, Jupyter, Databricks: notebooks are everywhere. This session presents the Oracle Labs Data Studio, a JVM-based notebook interface for data analysts built on Apache Zeppelin and Oracle JavaScript Extension Toolkit (Oracle JET). It shows use cases that focus on graph visualization and how to visually apply graph algorithms with interpreters such as Apache Spark, databases, and the graph analytic framework PGX. Using notebooks, you can combine different languages such as Groovy, Scala, Python, and the new property graph query language PGQL together with powerful JavaScript-based visualization techniques. The interactive graph visualization supports highlighting, expansion, filter application, and much more. Everything is preconfigured and executable directly from the browser.
https://wn.com/Interactive_Data_Analytics_And_Visualization_With_Collaborative_Documents
Interactive Data Analytics with Couchbase N1QL at Nielsen – Couchbase Connect 2015

Interactive Data Analytics with Couchbase N1QL at Nielsen – Couchbase Connect 2015

  • Order:
  • Duration: 36:03
  • Updated: 17 Jun 2015
  • views: 1751
videos
In this session we’ll discuss how Couchbase’s query language, N1QL provided Nielsen with an interactive querying capability that significantly increased our ability to gather meaningful insights into stored client data. In this session, you will learn how we gather those insights and interact with data analytics while leveraging SQL for JSON, N1QL. For context, Nielsen’s Answers on Demand (AOD) services deliver ratings data and other information for businesses in more than 100 countries. With the inflow of massive volumes of data and the requirement to deliver highly targeted results for clients, the ability to sift through datasets quickly and effectively is critical. The AOD services need to provide powerful analytics and reporting capabilities – essentially aggregations on the fly – through an on-demand big data platform. We at Nielsen turned to Couchbase to persist client report definitions, selections, and cache enabling us to sidestep many of the limitations of relational databases operating in a multitenant environment. The Couchbase solution delivered a 50 percent boost in response time by pre-indexing metadata and gave us the ability to query against the index or target specific documents with N1QL. Speakers: Arvind Jade, Architect Lead, Nielsen Govindarajan Raghunathapuram, Solutions Architect, Nielsen Slideshare: http://www.slideshare.net/Couchbase/unleash-the-power-of-couchbase-throughn1-ql-nickel Visit our website for more information https://www.couchbase.com/
https://wn.com/Interactive_Data_Analytics_With_Couchbase_N1Ql_At_Nielsen_–_Couchbase_Connect_2015
Excel 2013: Web Data Query

Excel 2013: Web Data Query

  • Order:
  • Duration: 4:53
  • Updated: 25 Sep 2012
  • views: 34040
videos
In this video I demonstrate how to import data into Excel 2013 via a Web Query.
https://wn.com/Excel_2013_Web_Data_Query
Succinct Spark: Fast Interactive Queries on Compressed RDDs

Succinct Spark: Fast Interactive Queries on Compressed RDDs

  • Order:
  • Duration: 30:05
  • Updated: 22 Feb 2016
  • views: 793
videos
https://wn.com/Succinct_Spark_Fast_Interactive_Queries_On_Compressed_Rdds
Interactive Data Analysis

Interactive Data Analysis

  • Order:
  • Duration: 28:06
  • Updated: 20 Nov 2013
  • views: 219
videos
Data analysis is a complex process with frequent shifts among data formats and models, and among textual and graphical media. We are investigating how to better support this lifecycle of analysis by identifying critical bottlenecks and developing new methods at the intersection of data visualization, machine learning and computer systems. Can we empower users to transform and clean data without programming? Can we design scalable representations and systems to visualize and query big data in real-time? How might we enable domain experts to guide machine learning methods to produce better models? I will present selected projects that attempt to address these challenges and introduce new tools for interactive visual analysis. Jeffrey Heer Associate Professor UW Computer Science & Engineering
https://wn.com/Interactive_Data_Analysis
Interactive Data Analysis - Jeffrey Heer - May 23, 2013

Interactive Data Analysis - Jeffrey Heer - May 23, 2013

  • Order:
  • Duration: 1:01:24
  • Updated: 12 Jun 2013
  • views: 11518
videos
This talk is part of the symposium, "Data Visualization from Data to Discovery: Art Center + Caltech + JPL", May 23, 2013 | Beckman Auditorium | Caltech, Pasadena, CA, USA | http://www.hi.jpl.nasa.gov/datavis Interactive Data Analysis Data analysis is a complex process with frequent shifts among data formats and models, and among textual and graphical media. We are investigating how to better support this lifecycle of analysis by identifying critical bottlenecks and developing new methods at the intersection of data visualization, machine learning and computer systems. Can we empower users to transform and clean data without programming? Can we design scalable representations and systems to visualize and query big data in real-time? How might we enable domain experts to guide machine learning methods to produce better models? Jeffrey Heer presents selected projects that attempt to address these challenges and introduce new tools for interactive visual analysis. Jeffrey Heer is an Assistant Professor of Computer Science at Stanford University, where he works on human-computer interaction, visualization and social computing. His research investigates the perceptual, cognitive and social factors involved in making sense of large data collections, resulting in new interactive systems for visual analysis and communication. The visualization tools developed by his lab (D3, Protovis, Flare, Prefuse) are used by researchers, companies and thousands of data enthusiasts around the world. His group has received Best Paper and Honorable Mention awards at the premier venues in Human-Computer Interaction and Information Visualization (ACM CHI, ACM UIST, IEEE InfoVis, IEEE VAST). In 2009 Jeff was named to MIT Technology Review's TR35; in 2012 he was named a Sloan Foundation Research Fellow. He holds BS, MS and PhD degrees in Computer Science from the University of California, Berkeley. About the symposium: Nearly every scientific and engineering endeavor faces a fundamental challenge to see and extract insights from data. Effective Data Science and Visualization can lead to new discoveries. Together, we at Caltech, NASA JPL, and Art Center represent the same convergence of science, engineering and design that drives new Big Data-powered discovery. On May 23, 2013, industry leaders visited Pasadena for a series of talks to inspire, unite and challenge our community to re-examine our practices, and our perspectives. Guests included: * Fernanda Viégas & Martin Wattenberg | Co-leaders, Google Data Visualization Group * Jer Thorp | Co-founder, The Office for Creative Research * Golan Levin | Director, Carnegie Mellon Studio for Creative Inquiry * Eric Rodenbeck | Founder, Stamen Design * Jeff Heer | Assistant Professor, Stanford University * Anja-Silvia Goeing | Privatdozent, University of Zurich and Lecturer of History and History of Science, Caltech See http://www.hi.jpl.nasa.gov/datavis for more information. Produced in association with Caltech Academic Media Technologies. © 2013 California Institute of Technology.
https://wn.com/Interactive_Data_Analysis_Jeffrey_Heer_May_23,_2013
Interactive Data Visualization with Power View

Interactive Data Visualization with Power View

  • Order:
  • Duration: 1:15:53
  • Updated: 20 May 2014
  • views: 66047
videos
In this session, we take a deep dive into Power View, Microsoft's interactive data visualization experience. Through some cool demos, learn how to create beautiful, interactive Power View reports while getting a tour of the product's features. Also, learn about the architecture of Power View and related components, and about the different flavors of Power View (Power BI in Office 365 vs. on-premise, Excel desktop vs. Excel Web App vs. Power View Web App) and their differences. If you're eager to gain a deeper understanding of Power View, don't miss this session!
https://wn.com/Interactive_Data_Visualization_With_Power_View
Web Query Excel 2016: Importing data from a website to your spreadsheet

Web Query Excel 2016: Importing data from a website to your spreadsheet

  • Order:
  • Duration: 6:40
  • Updated: 15 Nov 2016
  • views: 28907
videos
Recorded with http://screencast-o-matic.com
https://wn.com/Web_Query_Excel_2016_Importing_Data_From_A_Website_To_Your_Spreadsheet
Create an Interactive Form with Power Query

Create an Interactive Form with Power Query

  • Order:
  • Duration: 9:36
  • Updated: 20 Sep 2017
  • views: 1810
videos
Do you want to add some interactivity to your Excel? You send the Excel file to someone and they can input some cell and have some output dynamically change. Plus do this without writing any VBA! You can do this with Power Query. Though it does involves editing some of the M code (the language Power Query uses), it's not tooooo much. This can also be known as a parameter query because you are passing (some) user defined parameter to the query for it to do some work. This involves creating two queries in Power Query - (1) a function query and then (2) a plain query from a form (basically a table) where someone enters information. See the video to check out the steps. P.S. Feel free to provide a comment or share it with a friend! ------------------------------------------------------------------------------------------------- Subscribe to the Blog: http://myexcelcharts.blogspot.com
https://wn.com/Create_An_Interactive_Form_With_Power_Query
Apache Carbondata: An Indexed Columnar File Format for Interactive Query by Jacky Li/Jihong Ma

Apache Carbondata: An Indexed Columnar File Format for Interactive Query by Jacky Li/Jihong Ma

  • Order:
  • Duration: 30:13
  • Updated: 14 Feb 2017
  • views: 1128
videos
Realtime analytics over large datasets has become an increasing wide-spread demand, over the past several years, Hadoop ecosystem has been continuously evolving, even complex queries over large datasets can be realized in an interactive fashion with distributed processing framework like Apache Spark, new paradigm of efficient storage were introduced as well to facilitate data processing framework, such as Apache Parquet, ORC provide fast scan over columnar data format, and Apache Hbase offers fast ingest and millisecond scale random access. In this talk, we will outline Apache Carbondata, a new addition to open source Hadoop ecosystem which is an indexed columnar file format aimed for bridging the gap to fully enable real-time analytics abilities. It has been deeply integrated with Spark SQL and enables dramatic acceleration of query processing by leveraging efficient encoding/compression and effective predicate push down through Carbondata’s multi-level index technique.
https://wn.com/Apache_Carbondata_An_Indexed_Columnar_File_Format_For_Interactive_Query_By_Jacky_Li_Jihong_Ma
Clickhouse real data query

Clickhouse real data query

  • Order:
  • Duration: 0:35
  • Updated: 04 Nov 2016
  • views: 2238
videos
Текст по теме - "Как запустить ClickHouse своими силами и выиграть джекпот" https://habrahabr.ru/company/smi2/blog/314558/
https://wn.com/Clickhouse_Real_Data_Query
An Interactive Visual Query Environment for Exploring Data

An Interactive Visual Query Environment for Exploring Data

  • Order:
  • Duration: 5:42
  • Updated: 01 Jun 2014
  • views: 70
videos
Direct manipulation of visualizations is a powerful technique for performing exploratory data operations such as navigation, aggregation, and filtering. Its immediacy facilitates rapid, incremental, and reversible forays into the data. However it does not provide for reuse or modification of exploration sessions. This paper describes a visual query language, VQE, that adds these capabilities to a direct manipulation exploration environment called Visage. Queries and visualizations are dynamically linked: operations on either one immediately update the other, in contrast to the feedforward sequence of database query followed by visualization of results common in traditional systems. Accompanies paper at http://www.cs.cmu.edu/~sage/Papers/UIST97/UIST97.html
https://wn.com/An_Interactive_Visual_Query_Environment_For_Exploring_Data
Marton Kodok - Powering Interactive Data Analysis with Google BigQuery

Marton Kodok - Powering Interactive Data Analysis with Google BigQuery

  • Order:
  • Duration: 56:56
  • Updated: 25 Dec 2017
  • views: 7
videos
https://wn.com/Marton_Kodok_Powering_Interactive_Data_Analysis_With_Google_Bigquery
Druid Interactive Queries Meet Real-Time Data Eric Tschetter and Danny Yuan

Druid Interactive Queries Meet Real-Time Data Eric Tschetter and Danny Yuan

  • Order:
  • Duration: 44:11
  • Updated: 05 Apr 2013
  • views: 6772
videos
On-the-fly aggregation with human-time (or "interactive") queries against fresh, at-the-moment data represents a growing trend. Many newly announced systems are starting to provide interactive queries on batched data streams. This talk discusses how Druid allows users to have interactive queries on real-time data at scale; we feature a case study with Netflix leveraging Druid to obtain at-the-moment insight as it ingests over two terabytes per hour.
https://wn.com/Druid_Interactive_Queries_Meet_Real_Time_Data_Eric_Tschetter_And_Danny_Yuan
Grouping Data with Power Query

Grouping Data with Power Query

  • Order:
  • Duration: 18:24
  • Updated: 04 Dec 2016
  • views: 16864
videos
Grouping data is a common thing most analyst do. If you use Pivot Tables you are most likely grouping data. You can also group data with the Power Query feature in the Excel Power BI tools, but why would you want to do that if you already have the powerful options in a Pivot Table? Well there are some sophisticated things you can do with grouping in Power Query like further manipulating data within the grouped records. It involves learning M code, the query language used in Power Query. I'm not a guru in M language but I was able to understand some of the basics to do this. If I can learn this, so can you! P.S. Feel free to provide a comment or share it with a friend! ------------------------------------------------------------------------------------------------- Subscribe to the Blog: http://myexcelcharts.blogspot.com
https://wn.com/Grouping_Data_With_Power_Query
Interactive Exploratory Analytics with Druid | DataEngConf SF '17

Interactive Exploratory Analytics with Druid | DataEngConf SF '17

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  • Duration: 36:33
  • Updated: 22 Jul 2017
  • views: 684
videos
Recorded at DataEngConf '17: Cluster computing frameworks such as Hadoop or Spark are tremendously beneficial in processing and deriving insights from data. However, long query latencies make these frameworks sub-optimal choices to power interactive applications. Organizations frequently rely on dedicated query layers, such as relational databases and key/value stores, for faster query latencies, but these technologies suffer many drawbacks for analytic use cases. In this session, we discuss using Druid for analytics, and why the architecture is well suited to power analytic applications. User facing applications are replacing traditional reporting interfaces as the preferred means for organizations to derive value from their datasets. In order to provide an interactive user experience, user interactions with analytic applications must complete in an order of milliseconds. To meet these needs, organizations often struggle with selecting a proper serving layer. Many serving layers are selected because of their general popularity, without understanding the possible architecture limitations. Druid is an analytics data store designed for analytic (OLAP) queries on event data. It draws inspiration from Google’s Dremel, Google’s PowerDrill, and search infrastructure. Many enterprises are switching to Druid for analytics, and we will cover why the technology is a good fit for its intended use cases. Speaker: Fangjin Yang, Imply
https://wn.com/Interactive_Exploratory_Analytics_With_Druid_|_Dataengconf_Sf_'17
Apache Carbondata: An indexed columnar file format for interactive query with Spark SQL

Apache Carbondata: An indexed columnar file format for interactive query with Spark SQL

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  • Duration: 1:10:25
  • Updated: 12 Feb 2017
  • views: 505
videos
Introducing Apache Carbondata: An indexed columnar file format for interactive query with Spark SQL Presented at Bangalore Apache Spark Meetup by Raghunandan from Huawei on 04/02/2017. https://www.meetup.com/Bangalore-Apache-Spark-Meetup/events/236333734/ Connect with Raghunandan at https://www.meetup.com/Bangalore-Apache-Spark-Meetup/members/198715905/
https://wn.com/Apache_Carbondata_An_Indexed_Columnar_File_Format_For_Interactive_Query_With_Spark_Sql
The improved Azure Log Analytics: A powerful query language with machine learning, and more

The improved Azure Log Analytics: A powerful query language with machine learning, and more

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  • Duration: 1:06:21
  • Updated: 30 Sep 2017
  • views: 623
videos
Azure Log Analytics is now offering new interactive and expressive query language and advanced analytics portal. The service is now powered by the same highly scalable and low latency data store used by Azure Application Insights Analytics. The query language offers flexible search functions and machine learning constructs to help you get deeper insights from your data. The analytics portal supports multiline editing of queries, new visualizations, and advanced diagnostics – providing a consistent experience across your development and IT operations. Join us to learn more about the new capabilities in Azure Log Analytics and how you can use the insights to bridge the gap between your applications and infrastructure._x000D_
https://wn.com/The_Improved_Azure_Log_Analytics_A_Powerful_Query_Language_With_Machine_Learning,_And_More
IMF STA Data Portal Query Tutorial

IMF STA Data Portal Query Tutorial

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  • Duration: 4:23
  • Updated: 24 Jun 2015
  • views: 6481
videos
This tutorial walks through the Query tool, a powerful interactive feature of the IMF Data Portal that allows users to build, export and share custom outputs and visualizations. IMF Data Help: http://datahelp.imf.org/
https://wn.com/Imf_Sta_Data_Portal_Query_Tutorial
Real Time API Data pulled into Excel using Microsoft BI tools Power Pivot, Power Query, & Power View

Real Time API Data pulled into Excel using Microsoft BI tools Power Pivot, Power Query, & Power View

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  • Duration: 6:49
  • Updated: 29 Jul 2014
  • views: 17559
videos
This video gives an overview of the process by which to pull Seattle Real Time Fire 911 Calls data into Excel using an API. The API is called using Microsoft Power Query, the data is then modeled in Power Pivot, and an interactive data visualization is shown using Microsoft Power View. The API data can be refreshed throughout the day to obtain updated data from the source database.
https://wn.com/Real_Time_Api_Data_Pulled_Into_Excel_Using_Microsoft_Bi_Tools_Power_Pivot,_Power_Query,_Power_View
Acquiring Data with SAP Lumira - Connecting to a BW Query

Acquiring Data with SAP Lumira - Connecting to a BW Query

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  • Duration: 1:47
  • Updated: 23 Jun 2014
  • views: 5364
videos
Acquiring data is the starting point for any visualization, and SAP Lumira lets you acquire data from a number of sources. This video shows you step by step how to acquire data from a connecte BW Querey, and how to create a simple visualization based on that. SAP Lumira - Unlock the full potential of your data with stunning, interactive visualizations! Learn more on http://www.saplumira.com and on http://scn.sap.com/community/lumira.
https://wn.com/Acquiring_Data_With_Sap_Lumira_Connecting_To_A_Bw_Query
Interactively Query and Search your big data

Interactively Query and Search your big data

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  • Duration: 35:37
  • Updated: 30 Jun 2015
  • views: 104
videos
https://wn.com/Interactively_Query_And_Search_Your_Big_Data
WSO2 Fraud Detection Solution

WSO2 Fraud Detection Solution

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  • Duration: 6:14
  • Updated: 29 Oct 2015
  • views: 1177
videos
The WSO2 Fraud Detection Solution uses batch, real-time, predictive, and interactive analytics capabilities of WSO2 Data Analytics Server to convert domain knowledge into generic rules, implement fraud scoring, utilize Markov models and data clustering to model unknown types of fraud, and obtain interactive data querying and visualizations.
https://wn.com/Wso2_Fraud_Detection_Solution
ভিডিওতে দেখুন রোহিঙ্গা মুসলিমদের বর্বর নির্যাতনের চিত্র !!!

ভিডিওতে দেখুন রোহিঙ্গা মুসলিমদের বর্বর নির্যাতনের চিত্র !!!

  • Order:
  • Duration: 1:59
  • Updated: 29 Aug 2017
  • views: 1117342
videos
ভিডিওতে দেখুন রোহিঙ্গা মুসলিমদের বর্বর নির্যাতনের চিত্র !!! ----------------------------------------------------------------- Fair Use Disclaimer: This channel may use some copyrighted materials without specific authorization of the owner but contents used here falls under the “Fair Use” as described in The Copyright Act 2000 Law No. 28 of the year 2000 of Bangladesh under Chapter 6, Section 36 and Chapter 13 Section 72. According to that law allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. ----------------------------------------------------------------- ----------------------------------------------------------------- When you like our video then thumps up the like button and share your valuable comment bellow the comment box. And share the video your facebook for great audience retention. Don't forget the subscribe the channel Bangla Viral News. Thank you so much and thanks a lot again. ----------------------------------------------------------------- ----------------------------------------------------------------- You get the channel bangla viral news all bd news available here. we collect all news form be news paper. bangldesh news paper is so usefull for us. Such a day bangla news paper today is greatfull for us. We collect news form all bangladeshi newspaper. Rather that a bd news paper today. We also collect from online bangladeshi newspaper. online bangla newspaper is useful for us. We also collect news from daily all bangla news paper. This the so easy for us that free bangla newspaper online is also grateful. We are thanks to all bangladesh newspapers. ----------------------------------------------------------------- ----------------------------------------------------------------- Please like the video. share your comment bellow the video, and Obviously Share our video. Please don't forget the Subscribe our Channel. ----------------------------------------------------------------- ----------------------------------------------------------------- You get the channel bangla viral news all bd news available here. we collect all news form be news paper. bangldesh news paper is so usefull for us. We are so proud fill for you. Such a day bangla news paper today is greatfull for us. We collect news form all bangladeshi newspaper. Rather that a bd news paper today. Thanks you so much for your activeness. We also collect from online bangladeshi newspaper. online bangla newspaper is useful for us. We also collect news from daily all bangla news paper. This the so easy for us that free bangla newspaper online is also grateful. We are thanks to all bangladesh newspapers. Bangla Viral News beside every time and everywhere with you. ----------------------------------------------------------------- ----------------------------------------------------------------- bangla viral news makes reasonable efforts to implement technology and security features in order to safeguard the privacy of its users from loss, unauthorized access or improper use. bangla viral news may store your information in its databases, such as a Customer Relationship database, for reference. The information may be retained and used by bangla viral news for a reasonable period, reflecting our need to answer queries or resolve problems, provide improved and new services and any data retention requirements of the law. This means we may retain information after an individual has ceased interacting with us. bangla viral news does not sell, rent or give your personal data to any third party except where the law permits or unless you specifically agree. Users of the site are invited to inform bangla viral news services on any dysfunctions of the site in the light of privacy rights. In its capacity as a news agency, bangla viral news gathers and stores what could be classified as personal data. This is used for news reporting, opinion polls and related research. This privacy notice does not focus on that type of use. Like most websites bvnnews.blogspot.com also collects information through the use of technology. Among other things, a cookie may identify your browser and store information such as the date and time you access the site and the pages visited. ----------------------------------------------------------------- ----------------------------------------------------------------- Again Thanks for subscribe our channel.
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Qlik and Presto - What is Presto?

Qlik and Presto - What is Presto?

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  • Duration: 10:28
  • Updated: 26 Oct 2016
  • views: 2023
videos
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. Watch how Qlik uses Presto - to connect to federated big data systems for live, interactive visual analytics.
https://wn.com/Qlik_And_Presto_What_Is_Presto
Apache Hive Installation Step by step in Ubuntu

Apache Hive Installation Step by step in Ubuntu

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  • Duration: 44:41
  • Updated: 10 May 2016
  • views: 1200
videos
http://www.hadooptpoint.com/ Apache Hive Installation Step by step in Ubuntu ,hive installation on hadoop cluster,hive installation on windows,install hadoop-hive ubuntu Hive is a batch processing system and hive jobs takes much latency to execute the quires comparing to other databases like Oracle.In Oracle databases it can supports only GBs of data but in Hive we can execute More than TBs of data.Hive aims to provide acceptable (but not optimal) latency for interactive data browsing, queries over small data sets or test queries.
https://wn.com/Apache_Hive_Installation_Step_By_Step_In_Ubuntu