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Avoid These Five Big Data Governance Mistakes

Jun 22, 2016 |

If you’re embarking upon a big data project, then you’re likely running into one or more data management challenges. The decisions you make regarding how you enforce data governance and how you control data flows can make or break your project. Here are five data governance mistakes you should avoid: 1. You Have No Data Governance Strategy If you said to yourself, “Huh, what’s data governance?” then you’re likely making this mistake. Data governance refers to an overarching strategy that Read more…

Beyond Titan: The Evolution of DataStax’s New Graph Database

Jun 21, 2016 |

DataStax’s 2015 acquisition of Aurelius–the company behind the TitanDB graph database–was a clear statement about the importance of graph databases to Cassandra customers. Today marks the official announcement of DataStax Enterprise Graph, which the company is counting on to solve a number of operational and analytic problems for its customers, even if the database doesn’t look much like TitanDB anymore. When DataStax started incorporating the Aurelius development team and the TitanDB code in the spring of 2015, the DataStax development Read more…

Is Spark Overhyped?

Jun 16, 2016 |

There’s no doubt that the Apache Spark phenomena has taken the big data world by storm. But can the technology actually deliver according to the tremendous hype that is accompanying it, or has it been oversold? There were some interesting takes on that question during last week’s Spark Summit. Thomas Dinsmore, an analytics consultant who has worked with companies like IBM (NYSE: IBM), SAS, AT&T (NYSE: T), and Citibank (NYSE: C) over his 30-year career in analytics, made valuable points on the Spark Read more…

The Growing Menace of Data Hoarding

Jun 13, 2016 |

One of the downsides of living and working in a data-rich environment is the desire to squirrel away every last bit and byte for future use. Thanks to cheap storage systems such as Amazon S3 and Hadoop, it’s technically possible to store every piece of data you’ve collected. But going too far down that path can lead to a perilous condition known as data hoarding. While data hoarding may not be as great a threat as physically hoarding real-world items, Read more…

Data Science Operationalization in the Spotlight at Leverage Big Data ’16

Jun 9, 2016 |

How do you create business value from data science? It may be easy to answer from a theoretical standpoint, but actually turning data into business value in the real world is another matter entirely. This week, dozens of the brightest minds from the world of big data attended Datanami‘s third annual Leverage Big Data event to discuss their big data experiences and share tips on how to operationalize data science in the real world. The three-day event was well attended Read more…

News In Brief

Proliferation of Data Driving Machine Learning

Jun 16, 2016 |

Machine learning is a hot topic, but what applications is the technology driving and what drives machine learning? The short answer, concludes a new research report on machine learning, is data—lots of data. “Data is available in volumes never dreamed of, which means the algorithms have more to get their teeth into,” concluded a survey by market watcher 451 Research, noting that “machine learning lives or dies depending on the quantity and quality of the data available.” Moreover, the rise Read more…

Intel Xeon E7 Balloons In-memory Capacity, Targets Real-Time Analytics

Jun 7, 2016 |

Who crunches more data faster, wins. It’s this drive that cuts through and clarifies the essence of the evolutionary spirit in the computer industry, the dual desire to get to real time with bigger and bigger chunks of data. The locomotive: HPC technologies adapted to enterprise mission-critical data analytics. With its memory capacity of up to 24TB in an eight-socket system, the largest capacity in the industry according to Intel, the new Xeon processor E7-8800/4800 v4 allows massive datasets to Read more…

MapR Unveils Spark-Only Distro

Jun 6, 2016 |

Big data practitioners who want to get started quickly with Apache Spark but don’t want to mess around with Hadoop may be interested in new software that MapR Technologies announced today. MapR’s new Apache Spark Distribution provides the complete Spark stack, enabling developers to begin building Spark apps that utilize various APIs for batch and stream processing, graph analytics, and SQL. While the software uses YARN as a resource scheduler and MapR’s file system (which borrows from HDFS), there aren’t Read more…

IoT Seen Driving AI Adoption

Jun 2, 2016 |

While hardware vendors view it as another vehicle for selling more chips and servers that would allow enterprises to move processing power closer to data, the torrent of sensor and other information the Internet of Things (IoT) is expected to generate also is driving adoption of artificial intelligence technology, concludes a new survey of software developers. Evans Data Corp., the market intelligence specialist based on Santa Cruz, Calif., released a survey of developers this week that placed IoT at the Read more…

New IBM Data Analytics Software Targets Workload Management, Spark Adoption

Jun 2, 2016 |

IBM announced additions today to the infrastructure layer of its high performance data analytics software portfolio, including “cognitive features,” such as scheduling and resource management, and capabilities aimed at easing adoption of Spark. The new software-defined infrastructure products – in which the data center is managed, provisioned and automated by software regardless of compute, storage or network components – called IBM Spectrum Computing, are intended to reduce the complexity of performance-intensive data analytics and machine learning implementations. They replace IBM’s Read more…

This Just In

BigPanda Launches New Product Updates and Technology Integrations

Jun 22, 2016 |

PALO ALTO, Calif., June 22 — BigPanda, the Alert Correlation Platform that turns huge volumes of IT data and alerts into consolidated insights for businesses, today announced that it has launched new product updates and technology integrations which give Ops teams the ability to troubleshoot and maintain healthy infrastructure at scale. BigPanda’s platform now includes Unified Search and Incident Dashboards as well as new integrations with Atlassian JIRA Software, Splunk and Datadog. “Companies looking to mature their operational processes to better Read more…

Alation Partners With Hortonworks

Jun 22, 2016 |

REDWOOD CITY, Calif., June 22 — Alation, Inc., the collaborative data company, today announced certification of its Alation platform with the Hortonworks Data Platform (HDP) and interoperability with Apache Tez, the popular processing engine for Apache Hadoop. Now analysts can more easily find and understand data in Hadoop using Alation for increased productivity and maximization of enterprise Hadoop investments. Data analysts familiar with SQL still often struggle with finding and understanding data in Hadoop despite the rapid enterprise adoption of Hadoop as a big data store. Read more…

DriveScale Partners With Hortonworks to Improve Flexibility of Hadoop Hardware Platforms

Jun 21, 2016 |

SUNNYVALE, Calif., June 21 — DriveScale, the company that is pioneering flexible, scale-out computing for the enterprise using standard servers and commodity storage, today announced that it has joined the Hortonworks Partnerworks program and successfully completed the Hortonworks Data Platform (HDP) Certification process for the DriveScale platform. Together with Hortonworks, a leading innovator of open and connected data platforms, DriveScale enables IT administrators and operators to future-proof their underlying data center infrastructure for Hadoop workloads as they grow. “At this point, Read more…

DataStax Unveils Enterprise 5.0 and OpsCenter 6.0

Jun 21, 2016 |

SANTA CLARA, Calif., June 21 — DataStax, the leading provider of database software for cloud applications, today announced the release of DataStax Enterprise (DSE) 5.0 and DataStax OpsCenter 6.0, to provide enterprises a comprehensive and operationally simple data management layer. The unique, always-on architecture of DataStax Enterprise is based on Apache Cassandra. DSE 5.0, including OpsCenter 6.0, and the recently announced DataStax Enterprise Graph, will be available for download on June 28, 2016 here. According to an independent study by Forrester Consulting, “Next-gen applications will Read more…

Koverse Launches New Big Data Platform

Jun 21, 2016 |

SEATTLE, Wash., June 21 — Koverse, Inc. today announced the release of the Koverse Platform Version 2.0, a significant leap forward for any organization trying to extract value out of their investments in big data and analytics. With the availability of the Koverse Platform Version 2.0, including a powerful, robust and patent-pending Universal Indexing Engine, Koverse is offering companies a 30-day guarantee to bring their data into production with a data lake capable of simultaneously delivering insights for real-world organizational challenges. Read more…