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Zoomdata

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  • Meeting the Challenges of Big Data: Zoomdata 2.5
    Meeting the Challenges of Big Data: Zoomdata 2.5 Ian Fyfe and Ruhollah Farchtchi Recorded: May 11 2017 39 mins
    What does it take to meet the challenges of ever growing big, fast data and modern data sources? Join us on May 11 at 10AM PST to find out!

    Zoomdata’s Senior Director of Product Marketing Ian Fyfe and CTO Ruhollah Farchtchi will present the new capabilities of Zoomdata 2.5 and how they enable speed-of-thought visual analytics on massive data stores. Ian and Ruhollah will discuss Zoomdata’s:

    - New data sharpening algorithm for large and long-running queries
    - Enhanced memory management for very large result sets
    - Drill to detail at scale capability
    - Delegated security access

    A demo featuring Zoomdata’s performance on a 10-billion row data set will follow the discussion. Register today.
  • Russ Cosentino Master Class: Is the cloud for me?
    Russ Cosentino Master Class: Is the cloud for me? Russ Cosentino Recorded: Mar 30 2017 2 mins
    Russ Cosentino discusses whether or not the cloud is the right choice for your organization.
  • Top Considerations for Deploying Analytics in the Modern World of Big Data
    Top Considerations for Deploying Analytics in the Modern World of Big Data Ian Fyfe, Senior Director, Product Marketing, Zoomdata Recorded: Feb 14 2017 32 mins
    In order to innovate, differentiate and compete effectively in the contemporary world companies large and small need to store, analyze and gain actionable insights from all of their data, regardless of the volume, velocity and variety of sources of that data.

    Modern data platforms such as Hadoop, NoSQL databases, search enabled databases and MPP databases are making it technically and economically possible to store and analyze the billions of transactions and events streaming into the enterprise in real-time, from a wide variety of sources.

    This webinar will review the characteristics of modern data platforms to store this data, and what to look for in modern business intelligence, data analysis and discovery tools to visualize, analyze and get value from this data.
  • 2017 BI Predictions
    2017 BI Predictions Ruhollah Farchtchi, CTO, Zoomdata Recorded: Dec 7 2016 16 mins
    The past year has been another one full of rapid change and innovation in big data. In late 2015, we made three predictions about what we thought 2016 would bring. And now we’re back with our 2017 predictions webinar. In 2017, we expect:

    •Interactive exploration of the freshest data
    •The end of static data models
    •Search-based analytics to gain greater traction

    Join Zoomdata chief technology officer Ruhollah Farchtchi as we peer into the future of big data and analytics.
  • 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.

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