A data lake may seem like a clear choice -- deposit all your data in a Hadoop repository for analytics uses -- but navigating those IT waters isn't so simple, consultant Wayne Eckerson says. More>>
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Enterprise data architecture strategy and the big data lake
Syncsort open-sources Spark connector for mainframes
Report: A data-driven culture is critical to Big Data success
Organizations have made big advances in Big Data analytics, but there’s still a long way to go even though many are already starting to see a significant impact on their bottom line. That’s the biggest takeaway from a new survey conducted by Forbes Insights, sponsored by Teradata Corp., in partnership
Salesforce’s updated Customer Success Platform addresses growing complexity of customer service
The customer journey is undergoing a monumental change. Customers have access to more information, use more channels, and are connected via more devices than ever. A critical part of this change is customer service. Customers expect companies to provide support on new channels and address data from an exponentially growing
Data Cleansing vs Data Maintenance: Which One Is Most Important?
There are always two aspects to data quality improvement. Data cleansing is the one-off process of tackling the errors within the database, ensuring retrospective anomalies are automatically located and removed. Another term, data maintenance, describes ongoing correction and verification – the process of continual improvement and regular checks. Often, businesses
SAP embraces Hadoop with new in-memory analytics tool
A new tool from SAP will allow companies to analyze distributed Hadoop data alongside corporate data using the ERP giant's Hana in-memory computing platform. Announced on Tuesday, SAP Hana Vora is an in-memory query engine that taps the Apache Spark execution framework to deliver interactive analytics on Hadoop.More>>
Will the Rise of Spark Spell the End of Hadoop?
Why Do I Need A Data Lake?
Don’t throw out design principles when jumping in Hadoop data lake
While there are often good reasons for technologies to change, useful skills are sometimes forgotten in the process. Today’s Hadoop data lakes may be a case in point, according to Joe Caserta, founder and president of New York-based consulting practice Caserta Concepts. He says advances in Hadoop-style data handling are