BI: All content tagged as BI in NoSQL databases and polyglot persistence
Peter Collingridge for Jenn Webb in Book marketing is broken. Big data can fix it on O’Reilly Radar :
But when you’re in a much faster-paced world, with the industry moving toward being consumer- rather than trade-facing, and with a fragmented retail and media landscape, you need to make decisions based on fact: What is the ROI on a £50,000 marketing campaign? Where do my banner ads have the best CTR? Who are the key influencers here — are they bloggers, mainstream media, or somewhere else? How many of our Twitter followers actually engage? When should we publish, in what format, and at what price?
Big Data is not equivalent to data analytics or BI. And neither of these are equivalent to automatic decision making or business success.
While it’s understandable why vendors would encourage this misbelief, do not fall for it. Neither every data flow is Big Data, nor will Big Data automatically solve all world problems.
Original title and link: Everything is Big Data Now… But Don’t let yourself fooled by buzzwords ( ©myNoSQL)
- Big data gets even bigger
- Self-reliance is the new self-service
- The “Consumerization of Enterprise Software accelerates”
- Mobile BI goes mainstream
- Some companies start to get comfortable with social BI
- Companies explore the BI cloud
- Most jobs will require analytical skills… leading to talent shortages
- BI projects flourish under aligned IT & business
- Interactive data visualization becomes a requirement
- Hadoop gathers momentul — unstructured data isn’t going anywhere.
It sounds like companies will have to discover the fountain of money to be able to accomplish 2, 6, and 8 within an year.
- 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)