One of the most common challenges organizations face when developing an enterprise data governance program is the presence of data silos or pockets of data initiatives scattered throughout the company with little to no association or collaboration of efforts. While many describe their data systems as "siloed," the disjunction is less about the underlying technology and far more about the division created between lines of business.
Posted March 25, 2016
The emerging Internet of Things (IoT) represents a huge opportunity for today's enterprises but also poses risks. Many organizations are challenged to open up their systems to ever-growing networks of devices, sensors, and systems that are relentlessly spewing data that may or may not be of value. But questions about security and systems performance swirl around as well.
Posted March 25, 2016
Insights From Early Data Lake Adopters
Posted March 24, 2016
The rise of big data technologies in enterprise IT is now seen as an inevitability, but adoption has occurred at a slower pace than expected, according to Joe Caserta, president and CEO of Caserta Concepts, a firm focused on big data strategy consulting and technology implementation. Caserta recently discussed the trends in big data projects, the technologies that offer key advantages now, and why he thinks big data is reaching a turning point.
Posted March 23, 2016
The Future of Analytics with Big Data Technologies
Posted March 14, 2016
In a new book titled "Next Generation Databases," Guy Harrison, an executive director of R&D at Dell, shares what every data professional needs to know about the future of databases in a world of NoSQL and big data.
Posted March 08, 2016
Leveraging Real-Time Big Data with Spark, Kafka, and Hadoop
Posted March 07, 2016
Throughout the year, AAA National Action Center receives information from its federated local clubs. There is a need to align that information to help AAA further understand relevancy and deliver strong engagement opportunities for its members. After a lengthy process of exploring and evaluating solutions in industry and benchmarking different products, AAA National decided to partner with RedPoint Global.
Posted February 26, 2016
SnapLogic is unveiling its Winter 2016 release of its flagship platform, further connecting users to flexible Spark capabilities and reliable big data integration solutions.
Posted February 23, 2016
The promise of the data lake is an enduring repository of raw data that can be accessed now and in the future for different purposes. To help companies on their journey to the data lake, Information Builders has unveiled the iWay Hadoop Data Manager, a new solution that provides an interface to generate portable, reusable code for data integration tasks in Hadoop.
Posted February 23, 2016
It is hard to think of a technology that is more identified with the rise of big data than Hadoop. Since its creation, the framework for distributed processing of massive datasets on commodity hardware has had a transformative effect on the way data is collected, managed, and analyzed - and also grown well beyond its initial scope through a related ecosystem of open source projects. With 2016 recognized as the 10-year anniversary for Hadoop, Big Data Quarterly chose this time to ask technologists, consultants, and researchers to reflect on what has been achieved in the last decade, and what's ahead on the horizon.
Posted February 18, 2016
Every company is undoubtedly concerned about keeping outside attackers away from its sensitive data, but understanding who has access to that data from within the organization can be an equally challenging task. The goal of every attacker is to gain privileged access. An excessively privileged user account can be used as a weapon of destruction in the enterprise, and if a powerful user account is compromised by a malicious attacker, all bets are off.
Posted February 17, 2016
The New, Newly Democratized Data Integration
Posted February 16, 2016
9 Trends to Watch in the Growing Big Data Market
Posted February 16, 2016
The Internet of Things holds great promise for everything from better healthcare to decreased traffic accidents and more efficient manufacturing processes. Michael Morton is currently CTO at Dell Boomi, which he joined in 2013 after a career with IBM where he became an IBM Master Inventor and worked directly with Fortune 100 companies. Recently, Morton talked with BDQ about some of the opportunities and challenges and the role that Boomi plays in the emerging IoT market.
Posted February 11, 2016
Looker, provider of a BI platform, has added support for Presto and Spark SQL as well as updates to its support for Impala and Hive.
Posted February 09, 2016
Deep Information Sciences is unveiling a new solution that combines a MySQL-compliant database with cloud- and resource-awareness.
Posted February 04, 2016
With Hadoop marking its 10th anniversary this year, Sean Suchter, CEO of Pepperdata, recently reflected on his experience with the platform and speculated on what the next 10 years may bring.
Posted February 03, 2016
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