HP: All content tagged as HP in NoSQL databases and polyglot persistence
Under the terms of the joint development and licensing agreement, the two companies will deliver open standards-based reference architectures that simplify management and accelerate deployment of Hadoop Cluster environments. Clients can purchase the Cloudera Enterprise platform and future Cloudera products either directly from HP or bundled in HP AppSystem for Apache Hadoop.
The new HP reference architecture for Apache Hadoop for Cloudera and HP AppSystem for Apache Hadoop—Cloudera are based on HP Converged Infrastructure. They include the Cloudera Enterprise platform and HP Insight Cluster Manager Utility (CMU) software.
Original title and link: Cloudera and HP Partnership to Simplify Hadoop Deployments ( ©myNoSQL)
In 2005, Tim O’Reilly said: “data is the next Intel Inside“. Today IDC Mario Morales (VP of semiconductor research) says data is the new currency. All’s good until you read the continuation:
And the companies that understand this are the ones already developing the analytics and infrastructure to extract that value—companies like IBM, HP, Intel, Microsoft, TI, Freescale and Oracle.
The article (nb: may require registration) continues by looking at what each of these companies are doing in the Big Data space, but focuses a large part on IBM Watson.
Going back to the question “who’s leading the Big Data way“, let’s take a quick look at the technology behind Watson. According to Jeopardy Goes to Hadoop and About Watson, Watson technology is based on Apache Hadoop, using an IBM language technology built on the Apache UIMA platform and running Linux on IBM boxes.
To me it looks like open source is leading the advances in Big Data and these large organizations are just connecting the dots (as in packaging these technologies for enterprise environments and contributing missing pieces here and there). When did this happen before?
Original title and link: Data Is the New Currency. But Who’s Leading the Way? ( ©myNoSQL)
- The ability to orchestrate execution of Hadoop related tasks (i.e., executing a Hive Query, Pig Script, or M/R job) as part of a broader IT workflow.
- The ability to setup dependencies, so if a step fails the job can branch down a recovery path or send a notification, or if it’s a success it goes on to subsequent dependent tasks. Likewise it supports initiating several tasks in parallel.
- New integration for Pig — so that developers have the ability to execute a Pig job from a PDI Job flow, integrate the execution of Pig jobs in broader IT workflows through PDI Jobs, take advantage of our out of the box scheduler, and so on.
The list of tools Pentaho 4 integrates with is quite long:
- a long list of traditional RDBMS
- analytics databases (Greenplum, Vertica, Netezza, Teradata, etc.)
- NoSQL databases (MongoDB, HBase, etc.)
- Hadoop variants
- LexisNexis HPCC
This is the world of polyglot persistence and hybrid data storage.
Original title and link: BI Pentaho Integrates Hadoop, NoSQL Databases, and Analytic Databases ( ©myNoSQL)
James Governor reporting from the HP CEO Leo Apotheker keynote at the HP Analyst Summit:
“traditional relational databases are becoming less and less relevant to the future stack”
Even if HP acquired the real-time analytics platform Vertica I haven’t heard of HP in the NoSQL space, so my first thought was this is just the usual attack on competitors.
But it could also express HP’s interest in getting into the NoSQL market. The games of speculations about HP’s acquisitions are open.