Monthly Archive: April 2017
Today is an important day in the life of Cloudera
Nearly nine years ago, Amr Awadallah, Christophe Bisciglia, Jeff Hammerbacher and I came together with a shared conviction: Data was going to change the world. The three of them had some authority on the topic. Christophe came from Google, where…
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Update on Apache Spot: Tremendous advancement in cybersecurity data analytics and event management capabilities
The trend of applying machine learning and artificial intelligence to the mission of cyber defense is one of the most promising activities in the cybersecurity community. The trend towards eliminating data stovepipes to allow analysts to work over all relevant…
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Cloudera Extends Reach into Cloud with Azure Data Lake
It’s easy to understand why customers are moving to the cloud. Unlike the promises of marginal TCO savings brought on by incremental increases in performance or high availability by the old guard database vendors, the notion of utility computing and…
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Living in the Age of Data preparing for the Future
The world’s data now doubles in volume every two years. We’re living in an Age of Data fed by the Internet of Anything. Life in the Age of Data is always-on and always-connected with easy access to incredibly rich sources…
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Cross-component Lineage for Apache Hadoop
Apache Hadoop® exists within a broader ecosystem of enterprise analytical packages. This includes ETL tools, ERP and CRM systems, enterprise data warehouses, data marts and others. Modern workloads flow from these various traditional analytical sources into Hadoop and then often back…
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Moving Streaming Analytics Out of the Data Center
This blog focuses on moving streaming analytics outside the confines of the traditional data center. Moving streaming analytics closer to where data originates can be accomplished by leveraging an enterprise grade data movement application, married with an extremely lightweight streaming…
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A Brief History of Apache Storm
Part 1: A Little History In this series of blog posts, we will provide an in-depth look select features introduced with the release of Apache Storm (Storm) 1.0. To kick off the series, we’ll take a look how Storm has…
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Hortonworks’ Customers in Europe Power the Future of Data
Dinah Washington sang “what a difference a day makes” and having lived in London for a year this month, I’m feeling that multiplied by 365! And what a year it has been…. I joined Hortonworks back in 2012 when the…
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What’s New in Apache Storm 1.0 – Part 1 – Enhanced Debugging
Debugging distributed systems can be difficult largely because they are designed to run on many (possibly thousands) of hosts in a cluster. This process typically involves monitoring and analyzing log files spread across the cluster, and if the necessary information…
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EY shares Key Observations from Hadoop Summit 2016
A guest blog post from Scott Schlesinger, Principal, America’s EY Advisory EY and Hortonworks formed a strategic business alliance in August 2015 that is focused on helping our valued clients turn big data challenges into big business opportunities. Recognizing that big data…
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