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AWS data warehousing and analytics

• Data warehouse technologies evolve as vendors look skyward

  The need for high-speed analytics and low latency are pushing data warehousing vendors to create and reinvent their platforms and, in some cases, reinvent themselves. Continue Reading

• When to choose an S3 big data environment over HDFS storage

  Selecting a storage service for big data in the cloud can be challenging. Expert David Loshin explains usage patterns that could lead organizations to Amazon Simple Storage Service. Continue Reading

• Big data systems up ante on data quality measures for users

  At the Strata conference in New York, IT managers detailed steps they're taking to improve data quality in their big data environments in order to help ensure analytics accuracy. Continue Reading

• Managing the big data ecosystem requires agility amid disruptions

  In some regards, the term big data management can be viewed as an oxymoron. In fact, oxymorons abound in this industry and society -- virtual reality, artificial intelligence, science fiction and awfully good, the ... Continue Reading

• Machine learning, IoT bring big changes to data management systems

  Companies are using big data systems, deep learning and machine learning techniques to drive software advances. To go even further, their data management systems must also evolve. Continue Reading

• From all the data chaos emerges big data value

  Businesses spend millions of dollars to collect, mine, prep and analyze data to gain an edge in the marketplace. Yet, they have a hard time determining big data's actual value.Continue Reading

• Big data systems help companies build new business strategies

  Organizations hungry for more revenue are using Hadoop and other big data technologies to break their existing business molds and pursue new strategies and product offerings.Continue Reading

• Cross-platform integration, data preparation process grows in cloud

  While cloud computing may be convenient and more cost-effective for users, it can also lead to new challenges and requirements in regard to integrating and processing data.Continue Reading