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October 19, 2017 | Shelby Khan | Dataworks Summit

7 Sessions From DataWorks Summit Sydney You Should See

October 18, 2017 | Kevin Jordan | Hortonworks Case Study

How Much Can You Trust Your Big Data?

October 16, 2017 | Matt Spillar | Hortonworks Case Study

Leveraging Data to Make Decisions in Financial Services

Viewing posts: Hadoop Ecosystem« Back to all

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Guest author Nagapriya Tiruthani, Offering Manager, IBM Big SQL, IBM Why Big SQL? Enterprise Data Warehousing (EDW) emerged as a logical home for all enterprise data that captures the essence of all enterprise systems. But in recent years, there’s been an explosion of data being captured from social media, sensors, etc. This rapid growth has put […]

One of the most exciting new features of HDP 2.6 from Hortonworks was the general availability of Apache Hive with LLAP. If you missed DataWorks Summit you’ll want to look at some of the great LLAP experiences our users shared, including Geisinger who found that Hive LLAP outperforms their traditional EDW for most of their […]

Thank you for reading part 1 of a 2 part series for how to update Hive Tables the easy way.  This is part 2 of the series. Managing Slowly Changing Dimensions In Part 1, we showed how easy it is update data in Hive using SQL MERGE, UPDATE and DELETE. Let’s take things up a notch […]

So you might ask, Why run Data Science in the Cloud? Just as Apache Hadoop allows data scientists to work with any type of data, both Hadoop and the cloud make it possible to work with any amount of data by providing ready access to unlimited storage and capacity. Hadoop allows the use of commoditized […]

What’s New in Ambari 2.5 With Ambari 2.5, our focus was to continue to improve Hadoop operator’s day-to-day cluster management experience.  The community’s goal with Apache Ambari is to provide the most intelligent, easy-to-use, and extensible Hadoop operations experience, and with 2.5 we’ve made important improvements in the following areas: Service Management Log Management Configuration […]

The Challenge Apache Metron, at its core, is a streaming analytics solution.  Yes, it is a streaming analytics solution aimed at detecting and prioritizing cyber threats at your network’s doorstep.  Yes, it’s built atop Hadoop.  Putting the end-game aside, it’s easy to see that the challenges that such a system faces are precisely the challenges […]

LLAP wins the fastest execution among the SQL engines! Comcast is one of the nation’s leading providers of communications, entertainment and cable products and services. Headquartered in Philadelphia, PA, they employ over 100,000 employees nationwide whose goal is to deliver the highest level of service and improve the customer experience. Comcast decided to run what […]

Dale Kim, Sr. Director, Products/Solutions, Arcadia Data   Implementing data security controls can be hard, so it is up to technology vendors to work together to make security as simple as possible. This is especially true of big data environments where there are many pieces to integrate. When it comes to working with the Hortonworks […]

This blog has contributions from Mingliang Liu and Rajesh Balamohan. Late last year, we provided a brief history of Apache Hadoop support for Amazon S3. Our first focus of work was speeding up the read of S3-hosted data acting as a query input. That was followed by the write pipeline, as well as scaling and […]

This blog has contributions from: Vinod Vavilapalli, Wangda Tan, Gour  Saha, Priyanka Nagwekar, Sunil Govindan You have probably wondered what makes a self-driving car intelligent to process the live camera feeds, navigate the busy streets and distinguish objects on the streets, such as cars, trucks, traffic lights or pedestrians? A self-driving car is a perfect […]

Last week at Dataworks Summit, Dell EMC released the Dell EMC Ready Bundle for Hortonworks Hadoop. Dell EMC and Hortonworks brings together industry leading solutions for enterprise-ready open data platforms and modern data applications, helping our customers Modernize, Automate and Transform how they deliver IT services. The goal of these solutions is to help businesses […]

Hortonworks Data Cloud provides a quick and easy on-ramp for users looking to combine the agility of Amazon Web Services (“AWS”) with the data processing power of the Hortonworks Data Platform. We are pleased to announce not ONE but TWO new releases available for Hortonworks Data Cloud. Read on to learn more. Hortonworks Data Cloud […]

Recently Shaun Connolly (of Hortonworks) and Tony Baer (of Ovum) presented “Get Started with Big Data in the Cloud”.  During this webinar, they discussed the opportunity to take advantage of the cloud for big data workloads. As we see an increase in data analytics in the cloud, we are also seeing an increase in data […]

Last week, we hosted  Get Started with Big Data in the Cloud ASAP webinar with speakers from Hortonworks, Shaun Connolly and Ovum, Tony Baer. The webinar provided a very informative overview around the challenges enterprises are facing with the overwhelming number of choices available in the cloud. It covered how businesses can get over the […]

Hive / Druid integration means Druid is BI-ready from your tool of choice This is Part 3 of a Three-Part series (Part 1, Part 2) of doing ultra fast OLAP Analytics with Apache Hive and Druid. Connect Tableau to Druid Previously we talked about how the Hive/Druid integration delivers screaming-fast analytics, but there is another, even […]