News
News
- April 28, 2017
28 Apr'17
Building a data lake takes meticulous planning -- and flexibility
Data lakes offer a more expansive alternative to data warehouses for analytics uses. TDWI analyst Philip Russom offers advice on how to get things right in a data lake architecture.
- April 28, 2017
28 Apr'17
Systems of record take back seat to systems of engagement, innovation
Systems of engagement represent a hotbed of activity in data management these days. Flexibility and scalability are watchwords.
- April 20, 2017
20 Apr'17
Spark processing engine more at home in cloud, Databricks CEO says
Corporate users are becoming more open to deploying big data systems with Apache Spark in the cloud, Databricks CEO Ali Ghodsi says in a Q&A on the open source processing platform.
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- April 14, 2017
14 Apr'17
Persistence pays off for software containers in big data
Software containers encapsulate complexity and ease deployment, two traits that are helping to elicit growing interest in using them as part of big data systems.
- March 31, 2017
31 Mar'17
AWS data lake pumps up Beachbody's analytics architecture
Fitness company Beachbody set up a data lake system in the AWS cloud to support big data analytics applications after deciding that an on-premises deployment would be too complicated.
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- March 24, 2017
24 Mar'17
Blockchain data disruption aborning, IDC analyst says
Blockchain data technology disruption may be in the offing. IDC's Stewart Bond says architecture at the core of controversial bitcoin may show a new path to data integrity.
- March 10, 2017
10 Mar'17
Finance data governance program gets new start, broader focus
Businesses constantly need to evolve their programs for governing data. Nationwide's finance data governance team shares how it stepped up data governance strategy and processes.
- March 08, 2017
08 Mar'17
Pepperdata calls on Dr. Elephant for big data application profiling
Application profiling software from Pepperdata is built on LinkedIn's Dr. Elephant open source entry. A primary goal is to get more Hadoop and Spark applications into production.
- February 21, 2017
21 Feb'17
Containers help move Spark and Hadoop into analytics operations
Moving custom Spark and Hadoop pilot projects into production use has proved daunting. But container technology eased the transition at the Advisory Board analytics service.
- February 16, 2017
16 Feb'17
Drizzle on tap to spur Spark Streaming architecture
Spark Streaming architecture to date has focused much on programming perks. Now, as a bit of a hedge against other streaming choices, Drizzle comes to bat to cut streaming latency.
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- February 06, 2017
06 Feb'17
Preparing data for analysis helps JTV find predictive gold
Predictive models help Jewelry Television's on-air hosts sell its wares, thanks to data integration and preparation processes that funnel a mix of data into the analytics applications.
- February 06, 2017
06 Feb'17
Data preparation steps increase to meet predictive analytics needs
Data scientists building predictive models and machine learning algorithms often have to do more data preparation work upfront than is necessary in conventional analytics applications.
- February 06, 2017
06 Feb'17
Fast-moving big data changes data preparation process for analytics
Increased automation of data pipelines and more flexibility for data scientists through self-service software are taking hold as big data deployments change data preparation practices.
- February 03, 2017
03 Feb'17
Kaiser's data governance model leans heavily on data stewards
The head of Kaiser Permanente's data governance program says data stewards hold the key to the initiative's success, and he offers advice on managing data stewardship processes.
- January 31, 2017
31 Jan'17
Data governance process gets fine-tuned, as big data makes its mark
Big data analytics and digital transformation challenge the conventional data governance process, with many questions to answer in organizations. But a governed data lake shows how it can be done.