Big Data Quarterly Articles



Pentaho, a Hitachi Group company, is integrating Pentaho Labs with Python, increasing productivity and data governance, while allowing users to focus on predictive analytics and machine learning.

Posted February 02, 2016

To address a growing need for data professionals with graph database expertise, Neo4j is offering a certification exam online through its GraphAcademy.

Posted February 02, 2016

Redis Labs, is integrating with Spark SQL, and releasing a Spark-Redis connector package that promises to accelerate processing time.

Posted February 02, 2016

Snowflake Computing, a cloud data warehousing company, has formed a technology and go-to-market partnership with Looker, which provides a data exploration and business intelligence platform.

Posted February 01, 2016

Removing Data Constraint for App Development

Posted February 01, 2016

To address increasing demands posed by modern applications, Aerospike has released version 3.7 of its NoSQL database with new features that enable more personalized applications, more efficient operations, and greater stability across public and private clouds.

Posted January 28, 2016

Data Warehousing in the Era of Big Data

Posted January 19, 2016

Hadoop and Its Accompanying Ecosystem Are Here to Stay

Posted January 19, 2016

Rocana has unveiled the latest version of its solution for managing and analyzing event-oriented machine data that introduces new advanced analytics and anomaly detection abilities. In addition to the new features, the platform update also introduces support for Hortonworks along with Cloudera, further deepening the platform's reach.

Posted January 12, 2016

Greenwave Systems, an Internet of Things (IoT) software and managed services leader, has raised $45 million in its Series C financing round in two phases. The company's stated mission is to drive mass adoption of IoT by enabling leading brands to use technology in ways that foster deeper customer relationships.

Posted January 05, 2016

Accessing the Pipeline for Cross-Data Analytics

Posted January 04, 2016

We can expect to see every year within the next 5 years be "The Year of IoT." IoT promises to unlock value and rapidly transform how organizations manage, operationalize, and monetize their assets. With IoT, physical assets become liquid, easily indexed and tracked, enabling identification of idle capacity or over utilization.

Posted December 22, 2015

Today's organizations don't need to be hesitant or "scared" of unstructured data. In actuality, the real fear should be about missing the opportunity to tap these resources. The magic really starts to happen when all datasets - structured and unstructured, inside and outside the enterprise - are analyzed in parallel.

Posted December 22, 2015

Hortonworks revealed upcoming advancements of Hortonworks Data Platform (HDP) with the in-memory analytic capabilities of Spark. Hortonworks has also launched Hortonworks Community Connection (HCC), a new online collaboration destination for developers, DevOps, customers and partners to get answers to questions, collaborate on technical articles and share code examples from GitHub.

Posted December 10, 2015

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

Pages
1
2
3
4
5
6
7
8
9
10
11
12
13

Newsletters

Subscribe to Big Data Quarterly E-Edition