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A big blog for Big Data.

By | March 23rd, 2017 | Events

Strata + Hadoop World San Jose 2017

Last week, the SAP Altiscale team had the pleasure of sponsoring Strata + Hadoop World San Jose 2017. It was our fourth straight year of sponsoring the conference, and it’s great to see how much it has grown and matured over the years. Way back in 2014, our team spent a lot of time explaining what Hadoop was and how it could potentially solve Big Data technical challenges.  In 2017, we had far more discussions about how companies are already using Big Data and how they can improve their business results.

By | December 8th, 2016 | Hadoop

From Counting Words to Counting Lines with Hadoop

What is Hadoop? There are several ways to answer this question when somebody new to the Big Data space throws it at you. Some folks with a delightful sense of  humor might answer it this way: “Hadoop is an expensive and complicated platform for counting words.” You have probably noticed that word-count is the most popular Hadoop example for getting started with the platform and is often the only example found on most online forums. The word-count example captures the essence of Hadoop and the MapReduce paradigm while also being intuitive, simple, and easy to implement.

By | December 8th, 2016 | SAP

SAP TechEd Barcelona 2016, The Altiscale Report

This November, I had the pleasure of representing Altiscale at SAP’s developer show in Europe, TechEd Barcelona. This event showcases SAP’s latest capabilities and there are many opportunities to learn and get hands-on experience with new features. There were about 50 SAP booths and 40 partner booths. Big Data was a hot topic at the event. I was pleased to see that TechEd attendees were already familiar with Hadoop and were curious to learn about both Altiscale and SAP’s interactive SQL solution for Big Data, SAP Vora.

By | October 26th, 2016 | Cloud Hadoop

Is Your Big Data Optimized for Cloud?

Cloud Hadoop is becoming very popular. However, Hadoop in the cloud is not the same as cloud-optimized Hadoop. Cloud-optimized Hadoop scales automatically, has cost advantages, and has usage-based pricing. Traditional Hadoop distributions, quite simply, are not designed to run well in the cloud. Hadoop operations services are also key to success.

By | September 13th, 2016 | HDFS File Browser

Improving the Hadoop DFS Web UI

Altiscale contributed features to make the HDFS web browser fully usable. HDFS users who do not want to wait on the command line can now easily and intuitively get their work done via this interface. For now, these features are slated to be available with Hadoop 3. At Altiscale we chose to backport these upgrades to our current Hadoop clusters.

By | September 12th, 2016 | Spark

Apache Spark 2.0 Now Available

Apache Spark 2.0 Now Available Apache Spark 2.0, released in late July, is now available on the Altiscale Data Cloud. As one of the most active open-source Big Data projects under development, Spark is an integral component of the Big Data ecosystem and is used by a majority of Altiscale customers in areas such as interactive SQL and data transformation. The addition of Spark 2.0 to Altiscale’s Spark-as-a-Service offering provides improved performance, expanded SQL support, and streamlined programming APIs.