The challenges that big data companies face when dealing with live data range from scalability and availability to real-time demands and structure. The world of data streaming is a complex one as it involves millions of events gathered per day.
Posted December 09, 2015
Platfora has added $30 million in growth-stage financing from new investors HSBC and Harmony Partners, with participation from earlier-stage backers, including Allegis Capital, Andreessen Horowitz, Battery Ventures, Citi Ventures, Cisco, Sutter Hill Ventures and Tenaya Capital. This new round brings Platfora's total amount raised to $95 million.
Posted December 08, 2015
IBM is acquiring Clearleap to boost its IBM Cloud platform and accelerate the delivery of video service as a strategic source of data for business. The acquisition is part of IBM's moves to help clients improve access to "dark data" which, because it is unstructured and dark to computer systems, cannot be effectively managed or exploited.
Posted December 08, 2015
Opportunities and Challenges of Harnessing Operational Big Data
Posted December 07, 2015
The 10 Best Big Data Articles of 2015
Posted December 02, 2015
Hadoop distribution provider Cloudera has introduced Cloudera Enterprise 5.5, including Cloudera Navigator Optimizer, a new product targeted at helping organizations improve big data workload performance and efficiency. Cloudera Navigator Optimizer, now in beta, is expected to be generally available in 2016. The new release of Cloudera Enterprise has three main areas of focus, according to Anupam Singh, head of data management at Cloudera.
Posted November 19, 2015
Alpine Data has announced the general availability of the Alpine Custom Operator Framework, a methodology for developing custom algorithms that can be plugged into Alpine's parallel machine learning engine. Complementing Alpine Touchpoints, the Custom Operator Framework enables data science and business analyst teams to create, manage and distribute frequently-requested analytic assets to business users directly into their existing activities and workflows.
Posted November 17, 2015
Not too long ago, large volumes of information were available only to the select few organizations able to afford the expensive IT infrastructure to collect, store, manage, and analyze it—the big-budget companies with seemingly bottomless pockets, or the professional research services that built empires on collecting and interpreting data. But now, through the realized effects of Moore's law, along with the consumerization of BI tools, this data is increasingly available to everyone—and without having to dig deep into budgets or employ robust IT departments.
Posted November 13, 2015
As the business value of big data increases, vendors are offering cloud-hosted big data technology, known as big data as a service (BDaaS). Why choose BDaaS instead of on-premises deployments? Do you lack internal IT expertise in big data? Is the upfront cost for a cluster an issue? Or do you not have the luxury of time to build a cluster? These are all important questions when considering BDaaS.
Posted November 13, 2015
With the Hadoop ecosystem expanding rapidly, Hortonworks' Shaun Connolly recently discussed how Hadoop and related technologies are growing and being used, as well as the factors for a successful deployment.
Posted November 13, 2015
A typical organization loses about 5% of its revenues to fraud each year. The total cost of non-health insurance fraud in the U.S. is estimated to be more than $40 billion per year. These numbers stress the importance and need of finding sophisticated tools to both detect and prevent fraud. Big data and analytics offer a new valuable toolkit in the fight against fraud.
Posted November 13, 2015
"Caveat emptor" is Latin for "Let the buyer beware." In the realm of the modern information technology cloud, this sage advice rings especially true.
Posted November 13, 2015
With increased demand for mass customization and personalization, the emergence of Web 2.0, and one-to-one marketing, and the need for better risk management and timely fraud detection, the pressure is on for organizations to improve their ability to extract, understand, and exploit analytical patterns of customer behavior and strategic intelligence.
Posted November 12, 2015
The Big Data Gateway: Your Channel to Data Lake Success
Posted November 05, 2015
New Intel IoT Platform Makes 'Things' Smarter and More Connected
Posted November 05, 2015
Building a database guest image for OpenStack Trove
Posted November 04, 2015
MapR Ships Apache Drill 1.2 in its Hadoop Distribution
Posted October 21, 2015
Citus Data Secures $9.5 Million in Series A Funding for Scaling Out PostgreSQL
Posted October 20, 2015
Splice Machine Unveils Version 1.5 of Hadoop RDBMS with Expanded SQL Compliance
Posted October 20, 2015
Picking IoT Winners
Posted October 13, 2015
It's Always a Good Time for Real Time Data Access
Posted October 13, 2015
MapR Technologies has added native JSON support to the MapR-DB NoSQL database. The in-Hadoop document database will allow developers to quickly deliver scalable applications that also leverage continuous analytics on real-time data. A developer preview of MapR-DB with sample code is available for download and general availability of these new capabilities in MapR-DB will be available in Q4 2015.
Posted October 07, 2015
One of the noticeable changes this year at Strata + Hadoop World 2015 was the rise of Apache Spark, an engine for large scale data processing. In recent months, many companies have extended support to Spark, which can be complementary to Hadoop, but can also be deployed without it.
Posted October 05, 2015
MarkLogic Pushes NoSQL Further Into the Enterprise
Posted September 24, 2015
StreamSets Inc., a company that aims to speed access to enterprise big data, has closed a $12.5 million round of Series A funding. The single biggest barrier to a successful enterprise analytics platform is the effective and efficient ingest of data, the company says.
Posted September 24, 2015
Grasping Hadoop's Full Potential
Posted September 14, 2015
By now, we all know the value of big data analytics. In the 1990s, data mining and business intelligence (BI) efforts were used mostly for after-the-fact reporting and problem solving. The need for these capabilities will always remain, and high levels of confidence and investment in these disciplines will continue. However, the current focus on big data analytics emphasizes predicting and influencing the future, based on real-time analysis of 100% of enterprise data.
Posted September 14, 2015
Big Data 50 - The Top 50 Companies Driving Big Data Innovation
Posted September 09, 2015
Storage Architecture for the Petabyte Era
Posted September 08, 2015
Databricks is enhancing its cloud-based platform to strengthen its security, manageability and ease of application development. According to the vendor, the new features securely manage data access for large teams while streamlining Spark application development and deployment for enterprises dealing with complex and fast-paced environments.
Posted September 02, 2015
Hadoop distribution provider Cloudera has released Cloudera Director 1.5, an integrated solution for deploying and managing enterprise-grade Hadoop in cloud environments that enables deployment flexibility through an open API. Google Cloud Platform (GCP) is the first to integrate with the API.
Posted August 12, 2015
Overcoming Today's Big Data Integration Hurdles
Posted August 10, 2015
Faced suddenly with the challenge of quickly extracting valuable consumer data from a massive file for customer acquisition programs, DX Marketing selected Oracle Database Cloud Service and Oracle Marketing Cloud Service to replace its on-premise computing platform.
Posted August 07, 2015
Addressing the need for more big data skills training, Apache Hadoop distribution provider MapR Technologies has announced availability of a complete Apache HBase design and development curriculum on its free Hadoop On-Demand Training program.
Posted August 06, 2015
Unless you have been trapped under an elephant, you have heard a lot about big data. Today, most IT teams are either contemplating a Hadoop strategy or are well under way in the hopes of making data actionable.
Posted August 06, 2015
A typical organization loses 5% of its revenues to fraud each year, and in the U.S. alone the total cost of (non-health) insurance fraud is estimated at more than $40 billion per year, according to Bart Baesens, one of the authors of a new book on data science techniques for fraud detection. While opportunities for fraud are continuously evolving, fraud detection always has the biggest impact if it is done quickly. Fortunately, says Baesens, big data analytics can help to make early fraud detection possible.
Posted August 05, 2015
Predixion, a developer of cloud-based advanced analytics software, is partnering with PLAT.One to deliver predictive insights for IoT applications.
Posted July 30, 2015
The Role of Hybrid and Best-of-Breed Architectures in Big Data Management
Posted July 28, 2015
Continuing its global expansion, CoolaData, which provides a solution that tracks user behavior across all channels and aggregates the data to help monetize the insights, has opened an office in New York. The company's investors include 83North (formerly Greylock IL) and Carmel Ventures.
Posted July 22, 2015
The Hortonworks Data Platform (HDP) version 2.3 is now available, with enhancements for user experience for both operators and developers, new security and data governance capabilities, a new cluster monitoring service for support subscription customers.
Posted July 22, 2015
Franz, a supplier of semantic graph database technology, has added patented N-dimensional analysis capabilities to its flagship product AllegroGraph.
Posted July 20, 2015
Kyvos Insights, a big data analytics company, emerged from stealth mode to introduce a solution called Kyvos that it says provides insights from all corporate data, regardless of size and granularity.
Posted July 13, 2015
Responding to a growing need to deliver more data to the right people at the right time, Cloudera and Teradata have announced the Teradata Appliance for Hadoop with Cloudera—the enterprise-ready Hadoop distribution.
Posted July 09, 2015
Graph databases are especially good for managing data about the connections among resources, and they are here to stay as a vital mechanism for managing data. In some enterprises, graph databases are even replacing relational databases as the primary database of record.
Posted July 08, 2015
Putting Big Data & Analytics to Work
Posted June 26, 2015
IBM to Fuel Spread of Apache Spark
Posted June 15, 2015
Accelerating Data Processing for Analytics
Posted June 15, 2015
Syncsort is working with Dell to help businesses improve operational efficiency and lower costs by shifting expensive workloads and associated data from enterprise data warehouses (EDW) to Hadoop.
Posted June 10, 2015
Map R is releasing version 5.0 of the MapR Distribution including Hadoop that will process big and fast data on a single data platform that enables a new class of real-time applications.
Posted June 09, 2015
Unstructured data presents many challenges — it's hard to manage, datasets can be extremely large, and it does not have a pre-defined schema. Still, enterprises and service providers who manage to tame and mine unstructured data will have the ability to drive true business transformation based on the new insights it provides.
Posted June 05, 2015