Thursday, December 3, 2015

Trend-Setting Products for 2016

 
DBTA Webcast IBM/Looker
 
 
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Trend-Setting Products for 2016
 
The pressure is on for organizations to react faster to changing opportunities and risks by leveraging data to improve decision making. In addition to well-established data management approaches such as relational, MultiValue, and the mainframe, there are now hybrid scenarios incorporating cloud, NoSQL, Hadoop, Spark, and other open source projects. Here, Database Trends and Applications presents the list of Trend-Setting Products for 2016. 
 
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MUST HAVE DOWNLOADS
 
 
MOVING TO A MODERN DATA ARCHITECTURE

A GUIDE TO DATA AS A SERVICE

IMPROVE DATABASE PERFORMANCE BY OFFLOADING REPORTING AND ANALYTICS

CLOUD-BASED JAVA DEVELOPMENT: CHOOSING THE RIGHT PAAS

GARTNER REPORT- THE RISE OF THE OPERATIONAL DBMS MARKET

SQL SERVER UPGRADE CHECKLIST

GETTING AGILE WITH DATABASE DEVELOPMENT

HOW TO MAKE THE SHIFT FROM TRADITIONAL ANALYTICS TO DATA DISCOVERY

BREAK DOWN THE BARRIERS TO BETTER ANALYTICS

IBM ANALYTICS FOR APACHE SPARK
 
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Operational Insights - How Successful Is Your BI?
 
Finding the ROI of an organization's analytic-based investments and understanding the concept of operational intelligence is the key to success within a BI system. Organizations are beginning to realize this as they continue to make investments in analytics to meet the growing demands of the user community for more robust and usable analytic solutions.
 
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Apache Kudu Bridges NoSQL Analytics and OLTP
 
Apache Kudu attempts to bridge the performance divide between HDFS and HBase. While not as fast as HDFS for scans, or as fast as HBase for OLTP workloads, it provides a good enough alternative to each for both scan and CRUD operations.
 
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Helping Data Integration Move at the Speed of Business
 
Is it possible to move data any faster than it now travels? There’s no question that the pace of data movement has quickened dramatically in recent years. This calls for new strategies for integrating data at the speed of business. That is the challenge as companies increasingly rely on data analytics in their decision making.
 
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Database Performance Optimization With Wait Time Analysis
 
Database performance tuning is a complex but extremely important task. However, it can be difficult to effectively optimize databases when there are other "fires" to put out, limited resources, and an increasing number of databases to look after. But that doesn't mean it's impossible, especially with the right approach.
 
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