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

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

    published: 15 Nov 2016
  • 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
  • Creating an interactive search query

    published: 13 Oct 2011
  • 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
  • Building Interactive Data Applications at Scale

    published: 05 Jun 2015
  • iSPARQL & Linked Data Query Demo 1

    Interactive SPARQL and Linked Data

    published: 03 Oct 2008
  • Q-Sensei Interactive Query Builder

    Q-Sensei´s Interactive Query Builder provides an intuitive interface that enables you to create complex queries for your data. www.qsensei.com Music: Carefree Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/

    published: 11 Apr 2017
  • Henya: CAIDA's Internet Topology Query System Tool

    A narrated slideshow presentation about CAIDA's Henya tool. Henya is CAIDA's large-scale Internet topology query system which provides remote search of traceroute data without requiring data downloads. Henya includes built-in analyses and visualizations for commonly occuring needs, and is intended to be responsive enough for interactive data exploration. Henya: http://www.caida.org/tools/utilities/henya/

    published: 16 Aug 2017
  • Discover HDP 2.1: Interactive SQL Query in Hadoop with Apache Hive

    In February 2013, the open source community launched the Stinger Initiative to improve speed, scale and SQL semantics in Apache Hive. After thirteen months of constant, concerted collaboration (and more than 390,000 new lines of Java code) Stinger is complete with Hive 0.13. In this 30-minute webinar, Carter Shanklin, Hortonworks director of product management, and Owen O'Malley, Hortonworks co-founder and committer to Apache Hive, discuss how Hive enables interactive query using familiar SQL semantics. Carter and Owen present an overview of Hive 0.13, followed by a brief demo, with Q & A at the end.

    published: 15 May 2014
  • 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
  • Making Sense of Temporal Queries with Interactive Visualization

    To help analysts better understand temporal queries, we developed StreamTrace, an interactive visualization tool that breaks down how a temporal query processes a given dataset, step-by-step. We demonstrate that StreamTrace can help users to verify that queries behave as expected and to isolate the regions of a query that may be causing unexpected results. http://research.microsoft.com/

    published: 06 Jun 2016
  • Visualization and Interactive Data Analysis - DataEDGE 2013

    DataEDGE 2013 - http://dataedge.ischool.berkeley.edu Visualization and Interactive Data Analysis Jeffrey Heer, Assistant Professor of Computer Science, Stanford University Data analysis constitutes a complex sensemaking process with frequent representational shifts among data formats and models, and among textual and graphical media. This process is both iterative and interactive, with analysts moving back and forth among phases of analysis and exercising domain expertise. We are investigating how to better support this analytic lifecycle by identifying critical bottlenecks and developing new interactive systems for data analysis. Our research agenda integrates perspectives from human-computer interaction, visualization, systems and machine learning. Can we empower users to transform an...

    published: 15 Jun 2013
  • 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
  • DRUID SUB SECOND OLAP QUERIES OVER PETABYTES OF STREAMING DATA

    NISHANT BANGARWA Software Engineer Hortonworks

    published: 20 Jun 2017
  • Making Sense of Temporal Queries with Interactive Visualization

    Video figure for linked paper. To help analysts better understand temporal queries, we developed StreamTrace, an interactive visualization tool that breaks down how a temporal query processes a given dataset, step-by-step. We demonstrate that StreamTrace can help users to verify that queries behave as expected and to isolate the regions of a query that may be causing unexpected results.

    published: 20 Jun 2016
  • Succinct Spark: Fast Interactive Queries on Compressed RDDs

    published: 22 Feb 2016
  • Query Facebook Data using Power BI and Power Query

    Learn more about how you can use the new features of Power BI - Microsoft Power Query for Excel (aka "Data Explorer") to mash-up Facebook data.

    published: 03 Sep 2013
  • 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
  • SQL for Beginners. Learn basics of SQL in 1 Hour

    SQL is a special-purpose programming language designed for managing data in a relational database, and is used by a huge number of apps and organizations. Watch this Video to learn basics of SQL. This Video covers below topics about SQL. 0:01 What is SQL? 2:07 Creating a Table and Inserting Data 5:52 Querying The Table 8:03 Aggregating Data 11:24 Queries with AND OR 15:59 Querying IN subqueries 21:22 Restricting Grouped Results with HAVING 25:52 Calculating results with CASE 31:51 JOINing tables 37:15 Joining related tables with left outer joins 41:21 Changing Rows with UPDATE and DELETE 45:54 ALTERing tables after creation 49:51 Joining tables to themselves with self joins 53:50 Combining multiple joins By watching this Video we can learn how to use #SQL to store, query,...

    published: 11 Jul 2015
  • 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
"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: 4803
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: 604
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
Interactive Data Analysis

Interactive Data Analysis

  • Order:
  • Duration: 28:06
  • Updated: 20 Nov 2013
  • views: 211
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
Excel 2013: Web Data Query

Excel 2013: Web Data Query

  • Order:
  • Duration: 4:53
  • Updated: 25 Sep 2012
  • views: 32887
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
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: 1480
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
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: 65
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
Clickhouse real data query

Clickhouse real data query

  • Order:
  • Duration: 0:35
  • Updated: 04 Nov 2016
  • views: 1951
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
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: 13399
videos
Recorded with http://screencast-o-matic.com
https://wn.com/Web_Query_Excel_2016_Importing_Data_From_A_Website_To_Your_Spreadsheet
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: 6332
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
Creating an interactive search query

Creating an interactive search query

  • Order:
  • Duration: 5:27
  • Updated: 13 Oct 2011
  • views: 670
videos
https://wn.com/Creating_An_Interactive_Search_Query
Interactive Data Visualization with Power View

Interactive Data Visualization with Power View

  • Order:
  • Duration: 1:15:53
  • Updated: 20 May 2014
  • views: 62013
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
Building Interactive Data Applications at Scale

Building Interactive Data Applications at Scale

  • Order:
  • Duration: 42:57
  • Updated: 05 Jun 2015
  • views: 1069
videos
https://wn.com/Building_Interactive_Data_Applications_At_Scale
iSPARQL & Linked Data Query Demo 1

iSPARQL & Linked Data Query Demo 1

  • Order:
  • Duration: 3:26
  • Updated: 03 Oct 2008
  • views: 999
videos https://wn.com/Isparql_Linked_Data_Query_Demo_1
Q-Sensei Interactive Query Builder

Q-Sensei Interactive Query Builder

  • Order:
  • Duration: 2:24
  • Updated: 11 Apr 2017
  • views: 56
videos
Q-Sensei´s Interactive Query Builder provides an intuitive interface that enables you to create complex queries for your data. www.qsensei.com Music: Carefree Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/
https://wn.com/Q_Sensei_Interactive_Query_Builder
Henya: CAIDA's Internet Topology Query System Tool

Henya: CAIDA's Internet Topology Query System Tool

  • Order:
  • Duration: 8:05
  • Updated: 16 Aug 2017
  • views: 43
videos
A narrated slideshow presentation about CAIDA's Henya tool. Henya is CAIDA's large-scale Internet topology query system which provides remote search of traceroute data without requiring data downloads. Henya includes built-in analyses and visualizations for commonly occuring needs, and is intended to be responsive enough for interactive data exploration. Henya: http://www.caida.org/tools/utilities/henya/
https://wn.com/Henya_Caida's_Internet_Topology_Query_System_Tool
Discover HDP 2.1: Interactive SQL Query in Hadoop with Apache Hive

Discover HDP 2.1: Interactive SQL Query in Hadoop with Apache Hive

  • Order:
  • Duration: 27:56
  • Updated: 15 May 2014
  • views: 5906
videos
In February 2013, the open source community launched the Stinger Initiative to improve speed, scale and SQL semantics in Apache Hive. After thirteen months of constant, concerted collaboration (and more than 390,000 new lines of Java code) Stinger is complete with Hive 0.13. In this 30-minute webinar, Carter Shanklin, Hortonworks director of product management, and Owen O'Malley, Hortonworks co-founder and committer to Apache Hive, discuss how Hive enables interactive query using familiar SQL semantics. Carter and Owen present an overview of Hive 0.13, followed by a brief demo, with Q & A at the end.
https://wn.com/Discover_Hdp_2.1_Interactive_Sql_Query_In_Hadoop_With_Apache_Hive
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: 11236
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
Making Sense of Temporal Queries with Interactive Visualization

Making Sense of Temporal Queries with Interactive Visualization

  • Order:
  • Duration: 2:06
  • Updated: 06 Jun 2016
  • views: 71
videos
To help analysts better understand temporal queries, we developed StreamTrace, an interactive visualization tool that breaks down how a temporal query processes a given dataset, step-by-step. We demonstrate that StreamTrace can help users to verify that queries behave as expected and to isolate the regions of a query that may be causing unexpected results. http://research.microsoft.com/
https://wn.com/Making_Sense_Of_Temporal_Queries_With_Interactive_Visualization
Visualization and Interactive Data Analysis - DataEDGE 2013

Visualization and Interactive Data Analysis - DataEDGE 2013

  • Order:
  • Duration: 53:53
  • Updated: 15 Jun 2013
  • views: 2443
videos
DataEDGE 2013 - http://dataedge.ischool.berkeley.edu Visualization and Interactive Data Analysis Jeffrey Heer, Assistant Professor of Computer Science, Stanford University Data analysis constitutes a complex sensemaking process with frequent representational shifts among data formats and models, and among textual and graphical media. This process is both iterative and interactive, with analysts moving back and forth among phases of analysis and exercising domain expertise. We are investigating how to better support this analytic lifecycle by identifying critical bottlenecks and developing new interactive systems for data analysis. Our research agenda integrates perspectives from human-computer interaction, visualization, systems and machine learning. Can we empower users to transform and integrate data without programming? Can we design scalable systems and representations to interactively query and visualize data? 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 create new interfaces, algorithms and models that enable analytic reasoning with complex data.
https://wn.com/Visualization_And_Interactive_Data_Analysis_Dataedge_2013
IMF STA Data Portal Query Tutorial

IMF STA Data Portal Query Tutorial

  • Order:
  • Duration: 4:23
  • Updated: 24 Jun 2015
  • views: 6298
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
DRUID   SUB SECOND OLAP QUERIES OVER PETABYTES OF STREAMING DATA

DRUID SUB SECOND OLAP QUERIES OVER PETABYTES OF STREAMING DATA

  • Order:
  • Duration: 39:35
  • Updated: 20 Jun 2017
  • views: 304
videos
NISHANT BANGARWA Software Engineer Hortonworks
https://wn.com/Druid_Sub_Second_Olap_Queries_Over_Petabytes_Of_Streaming_Data
Making Sense of Temporal Queries with Interactive Visualization

Making Sense of Temporal Queries with Interactive Visualization

  • Order:
  • Duration: 2:27
  • Updated: 20 Jun 2016
  • views: 145
videos
Video figure for linked paper. To help analysts better understand temporal queries, we developed StreamTrace, an interactive visualization tool that breaks down how a temporal query processes a given dataset, step-by-step. We demonstrate that StreamTrace can help users to verify that queries behave as expected and to isolate the regions of a query that may be causing unexpected results.
https://wn.com/Making_Sense_Of_Temporal_Queries_With_Interactive_Visualization
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: 754
videos
https://wn.com/Succinct_Spark_Fast_Interactive_Queries_On_Compressed_Rdds
Query Facebook Data using Power BI and Power Query

Query Facebook Data using Power BI and Power Query

  • Order:
  • Duration: 5:41
  • Updated: 03 Sep 2013
  • views: 6231
videos
Learn more about how you can use the new features of Power BI - Microsoft Power Query for Excel (aka "Data Explorer") to mash-up Facebook data.
https://wn.com/Query_Facebook_Data_Using_Power_Bi_And_Power_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 !!!

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  • 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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SQL for Beginners. Learn basics  of SQL in 1 Hour

SQL for Beginners. Learn basics of SQL in 1 Hour

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  • Duration: 57:13
  • Updated: 11 Jul 2015
  • views: 866899
videos
SQL is a special-purpose programming language designed for managing data in a relational database, and is used by a huge number of apps and organizations. Watch this Video to learn basics of SQL. This Video covers below topics about SQL. 0:01 What is SQL? 2:07 Creating a Table and Inserting Data 5:52 Querying The Table 8:03 Aggregating Data 11:24 Queries with AND OR 15:59 Querying IN subqueries 21:22 Restricting Grouped Results with HAVING 25:52 Calculating results with CASE 31:51 JOINing tables 37:15 Joining related tables with left outer joins 41:21 Changing Rows with UPDATE and DELETE 45:54 ALTERing tables after creation 49:51 Joining tables to themselves with self joins 53:50 Combining multiple joins By watching this Video we can learn how to use #SQL to store, query, and manipulate data. And, you can watch the original interactive talk-through on Khan Academy, where you can pause and edit the code and see the code in better resolution at https://www.khanacademy.org/computing/computer-programming/sql or learn SQL from http://www.w3schools.com/sql/sql_intro.asp I created this video with the YouTube Video Editor (http://www.youtube.com/editor) with creative commons permission videos provided by Khan Academy Computer Science Subscribe to our YouTube channel at http://www.youtube.com/subscription_center?add_user=qualitypointtech Buy T-Shirts and other Merchandise at https://shop.spreadshirt.com/QualityPointTech/
https://wn.com/Sql_For_Beginners._Learn_Basics_Of_Sql_In_1_Hour
Druid Interactive Queries Meet Real-Time Data Eric Tschetter and Danny Yuan

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

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  • Duration: 44:11
  • Updated: 05 Apr 2013
  • views: 6332
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