Ian Fyfe, Senior Director, Product Marketing, Zoomdata
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.
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.
James McGinn Chief Technologist, Blue Canopy and Russ Cosentino, Co-founder & VP, Channel Sales Zoomdata
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.
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.
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.
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.
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.
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.
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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Welcome to Zoomdata! Built on a touch-first interface and designed for the Big Data revolution, Zoomdata brings you the ability to see, touch, explore, and analyze your data, wherever it sits! Setup the free Zoomdata server, connect your sources, and go! Download now at Zoomdata.com/Download or try an interactive live demo at Zoomdata.com/demos
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This video shows how Zoomdata can search, analyze, and visualize data stored in Cloudera Search. It also shows Zoomdata fusing together data between Cloudera Impala and Cloudera Search, along with fusion of multiple Cloudera Search repositories.
For additional information on Zoomdata's Visualization Studio, visit our Support Portal: http://support.zoomdata.com
Changing the way people see and interact with data
Zoomdata develops the world’s fastest visual analytics solution for big data. Using patented Data SharpeningTM and micro-query technologies, Zoomdata empowers business users to visually consume data in seconds, even across billions of rows of data. Zoomdata Fusion enables interactive analysis across disparate data sources, bridging modern and legacy data architectures, blending real-time streams and historical data, and unifying enterprise data with data in the cloud. Delivered in a micro-services architecture for elastic scalability, Zoomdata runs on premises, in the cloud or embedded in an application.
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