The Hortonworks Blog

Posts categorized by : Industry Happenings

Hortonworks and Informatica have teamed up to provide the data systems and tools making up the foundation of the modern data architecture. Today, Scott Hedrick, Director of Big Data Partnerships at Informatica, tells us more about the brand new Informatica Big Data Edition Trial Sandbox for Hortonworks

With the help of our friends at Hortonworks, the Informatica Big Data team has preinstalled a 60-day trial version of the Informatica Big Data Edition into the Hortonworks Sandbox.…

Speed, Scale, and SQL Semantics

Since its inception and graduation as a Top Level Project (TPL) from Apache Foundation Project (ASF) in September 2010, Apache Hive has been steadily improving—in speed, scale, and SQL semantics—to meet enterprise requirements for both interactive and batch queries at Hadoop scale.

It has become a defacto standard for SQL queries over petabytes of data stored in Hadoop. It is a compliant SQL engine that offers familiarity to developers over a comprehensive and familiar set of SQL semantics for Apache Hadoop.…

In this partner guest blog, John Haddad, senior director of product marketing at Infomatica, explains and enumerates how Stinger.next’s key innovations in Enterprise SQL at Hadoop scale will augment Informatica’s Big Data Edition integration with Hortonworks’ Modern Data Architecture.

Informatica is excited about the new innovations Hortonworks is including in the Stinger.next project such as Hive transactions, Hive-Spark integration, and sub-second queries. The Informatica Big Data Edition helps our customers take advantage of these new innovations without having to rebuild their data pipelines for Big Data analytics.…

I can’t believe it’s been 6 months since we first announced for expanded strategic alliance with Red Hat. For those that have been following this partnership, you know our goal is simple — to help organizations adopt enterprise Apache Hadoop as part of their modern data architecture. Our expanded relationship with Red Hat is closely aligned around a strategy of innovating in the open and applying enterprise rigor to open source software, thereby de-risking it for the enterprise, and allowing faster adoption for Enterprise Apache Hadoop.…

With the release of Apache Hadoop YARN in October of last year, more and more solution providers are moving from single-application Hadoop clusters to a versatile, integrated Hadoop 2 data platform. This allows them to host multiple applications — eliminating silos, maximizing resources and bringing true multi-workload capabilities to Hadoop. 

That is why we’re  extremely excited to have Paul Kent, Vice President of Big Data at SAS, share his insights on the value of Apache Hadoop YARN and the benefits it brings to SAS and its users. …

ScaleOut joined the Hortonworks Technology Partner Program and has recently achieved Hortonworks Certified status for ScaleOut hServer. ScaleOut Software is a pioneer in in-memory data grid software and the ScaleOut hServer can be installed directly on Hadoop nodes and runs in-memory. In this guest blog, William Bain, Founder and CEO, talks about certification and a use case.

Recently, ScaleOut Software announced technical certification of its ScaleOut hServer® product on Hortonworks Data Platform 2.1.…

Hadoop Summit Content Curation

Although the Hadoop Summit San Jose 2014 has come and gone, the invaluable content—keynotes, sessions, and tracks—is available here. I’ve selected a few sessions below for Hadoop system administrators and dev-ops, curating them under a general Hadoop operations theme.

Dev-ops engineers and system administrators know best that ease of operations and deployments can make or break a large Hadoop production cluster, which is why they care about all of the following:

  • how rapidly they can create or replicate a cluster;
  • how efficiently they can manage or monitor at scale;
  • how easily and programmatically they can extend or customize their operational scripts; and
  • how accurately they can foresee, forestall, or forecast resource starvation or capacity stipulation.

Today we are delighted to announce the formal partnership between Accenture and Hortonworks, which is the continuing evolution of the ongoing collaboration between the two companies which started in 2012. With this formal agreement, Accenture and Hortonworks will collaborate on making large structured and unstructured datasets – including operational, video and sensor data – more accessible to organizations for insight-driven decision-making. Together, the two companies will continue to collaborate on joint horizontal and vertical solutions to speed the adoption of Apache Hadoop.…

Apache Cassandra is an open source NoSQL distributed database management system designed to handle large amounts of data offering a scalable real time solution that allows users to create online applications that are “always-on, no matter what.” DataStax is the company behind Cassandra, and a new Technology Partner of Hortonworks.

Lynn Walitch leads Partner Management for DataStax and is our guest blogger today. Lynn discusses the importance of the partnership and certification with Hortonworks.…

Oscar Padilla, Vice President of Strategy at Luminar, is our guest blogger. He shares his thoughts and insights about Apache Hadoop, Hortonworks Data Platform, and Luminar’s journey to the Data Lake.

Luminar is the first big data analytics provider focused specifically on U.S. Latino consumers. Our company offers analysis based on empirical insights, rather than with a sample-based approach. Apache Hadoop and Hortonworks Data Platform (HDP) make this empirical approach work at scale.…

Customers’ Hadoop Journey

We’ve all had two weeks to reflect on Hadoop Summit 2014. One of the biggest differences that stood out in this year’s Summit (as compared to Summit 2013) was the presence of large enterprise customers that are using Apache Hadoop as an important part of their modern data architectures.

Hadoop has gone beyond its original Yahoo use case—indexing the web via a nightly batch MapReduce process —and into the mainstream of daily data processing and analytics with real-time, online, interactive, and batch applications at many notable companies.…

Apache YARN Ready Program

With the release of Apache Hadoop YARN in October of last year, organizations are moving from single-application Hadoop clusters to a versatile, integrated Hadoop 2 data platform hosting multiple applications — eliminating silos, maximizing resources and bringing true multi-workload capabilities to Hadoop.

Customers are telling us loud and clear: they want solutions that run on YARN because it enables them to run multiple workloads on the same common data pool.…

Informatica is a Hortonworks Certified Technology Partner. This partnership makes it possible for organizations to use all the data internal and external to an enterprise to achieve the full predictive power that drives the success of modern data-driven businesses. 

That is why we’re excited to have John Haddad, Senior Director, Informatica to be our guest blogger. In this blog, John explores the benefits of certification on HDP 2.1.

When I was in high school, one of my best friends had a water ski boat we often took out on California lakes (what are friends for?).…

We are less than a week away from start of the seventh annual Hadoop Summit San Jose. With all of the final preparations underway, we wish to highlight some of the not to be missed activities in and around the event. The event is filling fast, but you can still register here.

Here are a few things you don’t want to miss!

  •  Great track content—there is more content than ever with more than 120 informative sessions on Apache Hadoop and related technologies for you to choose from and as always selected by the community and delivered by the experts themselves.
  • Hurry, time is running out to join Mike Ferguson, independent analyst and thought leader in Business Analytics, Big Data, Data Management and Smart Business, as he explores how the growing business demand to analyze new sources of data is impacting on traditional architectures and how these architectures need to change to accommodate big data analytical workloads.

    In this brief session, Mike looks at new analytical use cases, the types of data that need to be analyzed, and the role of Hadoop in a modern analytical environment.…