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A big blog for Big Data.

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.

By | July 7th, 2016 | Big Data News

Big Data News: Talend files for IPO, Big Data in the UK, Manufacturing, and Education

Talend joins the early wave of Big Data companies seeking financing from the public market.  A UK Parliamentarian ponders the benefits and perils of Big Data, while Forbes seeks a better forecasting method in the wake of Brexit.  Stanford University weighs the ethical concerns of using Big Data to manage student retention, while Georgia Tech creates a new data engineering institute.