High Volume Analytics

  • video

    Ad Hoc Data Access -- the IT Balancing Act

    Ruhollah Farchtchi CTO

    Watch this video to learn why providing ad hoc data access for business users is a great idea -- in theory. But providing it on a budget of limited resources is a balancing act that can be hard to pull off.

    While adopting horizontally scalable data storage with a BI front end gives IT the infrastructure to handle increasing user loads, it doesn’t necessarily solve other issues.

    For example, in high-variety, big data environments, users need a self-service way to explore data without knowing the precise query they want to answer. But when many concurrent users explore data in this way, it can degrade response time.

  • video

    Data Modeling for Distributed versus Traditional Systems

    Ruhollah Farchtchi CTO

    In this video, you’ll learn that the root cause of data analytics performance issues can often be traced to differences between traditional business intelligence/data warehousing (BIDW) environments and today’s distributed computing environments.

    In terms of data modeling, what worked for BIDW won’t fly in the distributed compute world. For one thing, network throughput wasn’t much of an issue with BIDW. But, it’s very important when compute resources and data stores reside on different machines strung together via a network.

    In a distributed scenario, it makes sense to denormalize data because every join operation generates heavy network traffic, and it also pays to focus on query optimization.

  • video

    Organizing Data for Query at Scale

    Ruhollah Farchtchi CTO

    It’s great to be able to work with large scale data in distributed systems. But this video explains why the more data you have, the more important it is to optimize data stores for queries at scale. Appropriate partitioning schemes can help although every scheme has inherent limitations.

    Likewise, data layout can also substantially reduce seek times for your analytic systems. Hadoop and SQL-on-Hadoop will accommodate a variety of layout options beyond traditional row oriented. Columnar formats like Parquet are more suitable for denormalized data than the row-oriented formats used in relational databases. Parquet functions effectively regardless of the data processing framework, data model, or programming language.

  • video

    Securing Data in a Distributed Data Ecosystem

    Ruhollah Farchtchi CTO

    Watch this video to learn why the more aggressively organizations pursue data-driven business strategies, the more individuals need access to data. And, hand-in-hand with access goes security. In a large organization with lots of data and lots of data sources, controlling who has access to what presents quite a challenge.

    Allowing access to be controlled at the data source can cause problems with caching and memory management that degrade performance, especially in systems with many concurrent users. Bringing access authorization up to the BI layer can minimize performance issues while avoiding inadvertent security failures caused by users mixing data from multiple sources.

  • video

    Transform the Customer Experience with Big Data

    Watch and listen as a panel of experts including Cloudera co-founder and CTO Amr Awadallah and two joint Zoomdata and Cloudera customers, Bidtellect and Markerstudy, explain the opportunities and challenges of using big data to increase customer engagement.

  • podcast

    DM Radio: Big Data: A Second Chance for Data Management?

    Information managers have always faced challenges. And that hasn't changed in the era of Big Data. In this podcast, you'll hear how today's information managers can use decades of accumulated knowledge to:

    Solve the data management challenges of Big Data

    Serve IT and the data consumer

    Leverage distributed information lifecycle management

    Create an agile data stack on-premises, in the cloud, or hybrid

  • video

    Analyze Big Data Video

    Visualize 1+ billion rows in seconds! Watch the fastest visual analytics in action.

  • whitepaper

    Blue Canopy Case Study

    The public sector is even worse. But Blue Canopy bucks conventional wisdom by: 

    Focusing on the user experience

    Delivering a cloud-based analytic ecosystem in 30-60 days

  • video

    Big Data Visual Analytics in Action: Increasing Revenue and Reducing Risk

    Deliver Important New Customer Insights In Real Time.  Join us for a webinar and solution demo to learn how Markerstudy used Zoomdata’s fast visual analytics and Cloudera’s advanced Hadoop technologies to increase revenue and reduce risk!

  • whitepaper

    Markerstudy Case Study

    UK insurance company Markerstudy uses Hadoop, Spark and Zoomdata to speed up analysis and glean new insights from its insurance data.

  • whitepaper

    Empowering Business Users with Big Data

    Empowering Business Users with Big Data, A Practical Approach.

  • whitepaper

    How to Deliver Optimized Analytics for Redshift with Etleap and Zoomdata

    Etleap and Zoomdata have optimized the way analysts extract, transform, load, and analyze data using Amazon Redshift data warehouses. Etleap’s cloud-based ETL tool guides even the inexperienced user through combining virtually any data source into Redshift. And Zoomdata connects directly to data warehouses of any size to visually interact with data in ways that were previously not possible.

  • whitepaper

    Total Data Analytics 2016

    Understand total data reporting and its evolution

  • infographic

    Play With and Analyze Big Data: 1 Billion Rows Interactive Demo

    Zoomdata enables visual big data analytics at the speed-of-thought. Try its unmatched speed on 1 billion rows of data. Users love it, IT finally sees its big data investment shine.

  • video

    IM Live: Security is a New Game

    Enterprises need new methods for ingesting, analyzing and acting on data quickly and efficiently. To detect threats, they require tools that enable rapid-fire discovery of data as it’s streaming, throughout their organization and beyond. This IM Live webcast explores the power of micro-queries for diving into big data sets of all shapes and sizes.

High Volume Analytics

It's important to visualize and interact with data at the speed of thought. Learn the challenges and solutions of big data interaction.


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