By combining SQL Server and Hadoop, Microsoft is positioning APS as an affordable gateway to big data analytics for enterprises. Last week Microsoft officially released Analytics Platform System (APS), a SQL Server-based […]
Selecting the right SQL-on-Hadoop engine to access big data
In the world of Hadoop and NoSQL, the spotlight is now on SQL-on-Hadoop engines. Today, many different engines are available, making it hard for organizations to choose. This article presents some important […]
Q&A: New Tools Mean Big Data Dives Can Yield Fast Results
Users can explore and analyze even massive data sets quickly with new tools and platforms now available. Analytic tools that can tap into raw, unstructured machine data are becoming increasingly important and […]
Can Big Data and SQL Get Along?
Is the news of SQL’s demise greatly exaggerated or should we be preparing for a post-SQL world? Anyone who works with databases or data warehouses understands the preeminent role of SQL in […]
Business intelligence and analytics: how to develop a complementary strategy
Business intelligence (BI) continues to rank high on the priority list of most organisations, but “analytics” has the greater star power. Growing interest in analytics is driving implementation of newer technologies, such […]
Important Things You Need to Know About Hadoop
Increasing interest in using Hadoop for data management, transformation and analysis has led to significant development efforts to enhance and extend the Apache Hadoop framework. Although these platforms vary by vendor, there […]
ETL on Hadoop Is Here. Now. Today.
There’s a reason Hadoop is talked about as a platform for ETL: increasingly, that’s where your data is. There’s a reason Hadoop is talked about as a platform for ETL: increasingly, that’s […]
3 Emerging Trends to Watch in 2014
TDWI research director David Stodder looks at a trio of emerging technology trends he believes will have a significant impact on technology implementation. As we close out 2013 and head into the […]
TDWI Introduces Big Data Maturity Model
TDWI’s Big Data Maturity Model helps organizations assess their big data readiness and offers best practices for moving along the maturity path. Its co-author, Fern Halper, explains the five major maturity stages. […]
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