Hortonworks Data Platform turns 3.0; new cloud partnerships announced

ZDNet

It's a bit of an adage in the software world that when a product gets to its third version, it really hits its stride. First versions are usually what we now call minimally-viable product (MVP) releases; 2.0 releases typically add enough functionality to address some of the more egregious v1 pain points. But the 3.0 goods often tend to fit and finish, and often bring one or two important new feature sets. Such is the case with version 3.0 of Hortonworks Data Platform (HDP), being announced this morning at Hortonwork's DataWorks Summit in San Jose, CA. HDP 3.0 is itself based on version 3.1 of Apache Hadoop, which does indeed include important new areas of functionality.


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Hosting and Ingesting Data From Web Pages (Desktop and Mobile) - Hortonworks

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To accept location in a phone or modern browser you must be running SSL. So I added that for this HTTP Request. Your web page can be any web page, just POST back via AJAX or Form Submit. Note: Different browsers, devices, phones, tables and versions will send different values. Users should get a location request pop-up.


451 Research Analysis: Pivotal and Hortonworks Expand - PHP Hadoop Articles

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Continuing its bold strategy of driving its software to open source, Pivotal has announced Pivotal HDB 2.0, along with a partner agreement with Hortonworks to resell it. HDB is Pivotal's MPP Hadoop-native SQL database, which the company open sourced in 2015 as Apache HAWQ (incubating.) This new release, along with the Hortonworks partnership, will provide additional market coverage for the product. Pivotal HDB is one of three products that make up Pivotal's Big Data Suite, the other two being Pivotal Greenplum and Pivotal GemFire. While Hadoop remains a key technology for Pivotal, the company recognizes the data'nail' doesn't necessarily require the Hadoop'hammer' for every big-data problem.


Run Hortonworks clusters and easily access Azure Data Lake

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Enterprise customers love Hortonworks for running Apache Hive, Apache Spark and other Apache Hadoop workloads. They also love the value that Azure Data Lake Store (ADLS) provides, like high throughput access to cloud data of any size, sharing easily and securely with its true hierarchical file system, Posix ACLs, along with Role-based Access Control (RBAC), and encryption-at-rest. Azure HDInsight managed workloads – which offers built-in integration with and access to ADLS – vastly simplifies the management of enterprise clusters for many enterprises. Customers have a choice, and some Hortonworks customers choose to customize and manage their own clusters deployed directly on Azure cloud infrastructure, and those deployments need direct access ADLS. With the recent announcement of Hortonworks Data Platform (HDP) 2.6.1 with Azure Data Lake Store support, now customers can do just that.