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Big Data Visual Analytics

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  • Delivering Big Data Analytics In The Cloud Without The Wait Delivering Big Data Analytics In The Cloud Without The Wait James McGinn Chief Technologist, Blue Canopy and Russ Cosentino, Co-founder & VP, Channel Sales Zoomdata Recorded: Jul 13 2016 47 mins
    Big data initiatives don’t deliver value until business users can gain some kind of insight from the data—but that can take months, even years. The technology practitioners at BlueCanopy are using a “cloud ecosystem” approach to dramatically shorten the wait.

    In this webinar and solution demo, learn how BlueCanopy uses Amazon Web Services and Zoomdata’s fast visual analytics for big data to:

    -Deliver tangible value from big data stores in a matter of days—not months or years

    -Create actionable visualizations that deliver insight and uncover added analytic opportunity, without the need to move or restructure data

    -Avoid the high costs and long delays of building up on-premises infrastructure

    -Optimize big data solutions of any kind by leveraging a cloud ecosystem that’s not locked into specific tools or platforms.
  • Modern BI:  Leveraging disk, memory, persistence and streaming to drive value Modern BI: Leveraging disk, memory, persistence and streaming to drive value Ruhollah Farchtchi, Chief Technologist & VP Zoomdata Labs Recorded: Jun 16 2016 40 mins
    Operating a successful enterprise is hard. Deriving business value from an organization’s data can be challenging. But operating an enterprise without exploiting available data assets is just plain risky.


    Organizations are increasing taking advantage of the plethora of tools available for managing and analyzing their data. Attend this webinar to hear how Zoomdata customer’s are using traditional and modern data stores to: process billions of recorders per day for more targeted advertising, accelerate translational science through cohort discovery/analysis, and extract value from data before mining it from their warehouses. Register now to hear from Zoomdata’s Chief Technologist & VP Zoomdata Labs, Ruhollah Farchtchi.
  • How to Build Data Apps Faster: Introducing the Zoomdata Developer Network How to Build Data Apps Faster: Introducing the Zoomdata Developer Network Subrata Chakrabarti, VP of Product Marketing Recorded: Apr 19 2016 34 mins
    Zoomdata just announced the launch of ZDN, Zoomdata Developer Network. ZDN serves the needs of developers who want to deploy Zoomdata’s advanced data visualization capabilities inside their applications. As part of this program, developers will be able to leverage Zoomdata Developer Package providing access to Zoomdata's platform and its key capabilities. In this introductory 30 min session, join Subrata Chakrabarti, VP of Product Marketing at Zoomdata to learn how can you take advantage of the Developer Package and its set of SDK capabilities to build data-driven apps or embed analytics into your existing app.
  • Interactive Visualization of Streaming Data Powered by Spark Interactive Visualization of Streaming Data Powered by Spark Chief Technologist, Ruhollah Farchtchi Recorded: Mar 31 2016 29 mins
    Chief Technologist, Ruhollah Farchtchi gives a presentation at Spark Summit East, 2016 on the Interactive Visualization of Streaming Data Powered by Spark.

    Much of the discussion on real-time data today focuses on the machine processing of that data. But helping humans visualize real-time streams is just as important. Visualizing real-time data introduces new UX and usability challenges for any developer embedding analytics into applications, especially when the target end users are business users and not data scientists. Self-service, interactive, subsecond response time to ad hoc queries — these are the new UX requirements for any enterprise visualizing real-time data. Streaming data also lends itself to new paradigms of interaction with the stream itself, like being able to pause, rewind and replay a stream. This talk is a case study in how and why Zoomdata built a “Data DVR” capability using Spark and Spark Streaming. We will describe the required user experience, the overall architecture and the specific use of Spark and Spark Streaming. We will describe the design considerations that led us to choose Spark Streaming over alternatives like Storm. We will show how end users configure the real-time increment and a historical retention window without writing any code themselves. We will also show how pause, rewind, replay is implemented in Spark and how the solution supports both real-time and historical analysis in the same architecture. Attendees will walk away with knowledge of Spark Streaming and how users can interactively work with streaming data. They will develop familiarity with the challenges of a lambda architecture and providing a consistent analytic experience over streaming and historical data.
  • Zoomdata Embedded Analytics Zoomdata Embedded Analytics Zoomdata Recorded: Mar 30 2016 2 mins
    We show you how you can embed Zoomdata analytics into any application.
  • Zoomdata Dashboard Creation Zoomdata Dashboard Creation Zoomdata Recorded: Mar 29 2016 2 mins
    You will learn how easy it is to build a dashboard using Zoomdata
  • Webinar: Visualize the Full Variety of Big Data with Zoomdata Fusion Webinar: Visualize the Full Variety of Big Data with Zoomdata Fusion Nick Halsey & Scott Cappiello Recorded: Mar 28 2016 67 mins
    What you will learn in this webinar:
    -Learn how Big Data is not just about Hadoop, but the wide range of new and existing frameworks inside and outside your enterprise.
    -Learn how Zoomdata can query across multiple data sources to bring a single view of data across disparate data sources.
    -See how business users can combine multiple sources without waiting for a data architect to set it up.
    -See how the power of Apache Spark enables Zoomdata Fusion at Big Data scale.
    -Learn how to access Zoomdata Fusion and more cutting-edge features in the Zoomdata Early Access Program.
  • Zoomdata: Spark In Memory Analysis Zoomdata: Spark In Memory Analysis Russ Cosentino Recorded: Mar 25 2016 5 mins
    While we provide our customers with various mechanisms to control when their spark result set cache is refreshed, in this video, we are providing more flexibility to add a detailed schedule for precisely controlling.
  • Zoomdata Technology: Cloudera Impala, d3.js and Big Data Analytics Zoomdata Technology: Cloudera Impala, d3.js and Big Data Analytics Zoomdata Recorded: Mar 23 2016 4 mins
    This video demonstrates Zoomdata's ability to analyze and visualize billions of rows of raw HDFS data via Cloudera Impala. Users can see big data visualized and analyzed instantly, at scale, in real-time and historically, without moving it out of HDFS. The visuals are also completely interactive and customizable. Any d3.js data visualization can be lit up by Zoomdata with real-time and historical data and instantly become interactive and collaborative.

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