Ron Bodkin of Big Data Analytics discusses early adoption of Hadoop, NoSQL and big data technologies. He discusses common patterns and explains how developers can write low-level primitives to optimize MapReduce function. Other topics include Hive, Pig, multi tenancy, and security.
Microsoft has released SQL Server 2012 Release Candidate 0. There are many new features, including: AlwaysOn, better performance management, more reporting and visualization tools, Columnstore index, and FileTables. The product will come in 3 main editions: Standard, Business Intelligence and Enterprise.
Business Intelligence vendor Pentaho has announced the release of olap4j 1.0, a new, common Java API for any online analytical processing (OLAP) server.
Imagine ad hock data mining queries against a single table with 1 TB of data and 1.44 billion rows coming back in roughly a second. This is the scenario Microsoft intends to support using 32-core machines and their new column-based storage engine.
Eobject.org's open-source Java framework MetaModel implements a unified API for the access, exploration, and query of different datastores. Eobjects.org, both a website and an open source software organization dedicated to "the development of Open Source software related to Business Intelligence and Data Warehousing", has recently published version 1.5 of MetaModel.
Business intelligence (BI) and service-oriented architecture (SOA) have conflicting principles and needs. SOA promotes hiding the data inside the services while BI needs that very data if we want to get meaningful predictions and alerts. This article will show you how you can combine SOA with EDA to solve the BI/SOA conflict and maybe even enhance your SOA.
Ashish Thusoo and Namit Jain explain how Facebook manages to deal with 12 TB of compressed new data everyday with Hive’s help. Hive is an open source data warehousing framework built on Hadoop, allowing developers to perform analysis against large datasets using SQL.
Brian Oliver explains what the Reconciliation Process is, why the current approach to reconciliation based on client-server is no longer suitable and how data grids and event based reconciliation might help.
Randy Shoup discusses evolvable systems: how to run different versions of a system in parallel during migrations, decoupling a system with events, schemas at eBay and much more.
