Pentaho: All content tagged as Pentaho in NoSQL databases and polyglot persistence
after researching how to continuously aggregate and mine our tracking data (200GB and growing fast) for almost a week, I’m still stuck. Is it just me or didn’t I just find the right product yet? I must admit that I’m a generalist developer, no DBA - but to me it looks like all the products I’ve looked into just don’t “feel” right. JasperReports, InfiniDB, Pentaho, just to name a few… it’s all - how can I say - crusty, unintuitive, 1999. All the products look very corporate, there are basically no howto’s, no prices, no shiny, bold Open Source products that fit my bill. I wouldn’t even mind using a good commercial product that does what I want, but even the advertisements are “from DBA to DBA”. Lots of termdropping like ETLs, M/ROLAP, BI, Case-Based-Reasoning - but nothing that looks reasonably simple and straightforward. Maybe I’m spoiled by the DX (Developer Experience) that Backbone and Rails give me, but is there really nobody that has done something simpler and more straightforward? Like “these are my dimensions, these are my facts - now generate my Cube here so I can go datamining”? Now I know this is a huge field and I might sound naive but I’d like to know if there are others sharing my pain or having something closer to a solution.
As usual, lots of links and commentary. Two answers stood out while reading the thread though:
I’ve been in this field for more than a decade and I couldn’t agree more. The tools, and even the underlying theory is stuck in the past, and every project I work on is hampered by the technology not meeting the expectations of (business) users who demand a much more intuitive way of working - because that’s what the experience every day on consumer devices.
Almost all OLAP products provide this simple functionality, but it’s almost impossible to find where it is because it is hidden under layers and layers of “added value” in the form of tools to extract, transform and present that data in flashy executive dashboards.
Original title and link: OLAP and Reporting That Feels Like 2012 ( ©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)