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The four main categories of NoSQL or Not-Only SQL Database systems are gaining popularity for Big Data, Web and Specialized applications. Key-Value Stores enable the storage of unstructured or schemaless data, aligned as a key and actual data; Column-Family databases, store



NoSQL Central Articles

A key component to data integration best practices, change data capture (CDC) is based on the identification, capture, and delivery of the changes made to enterprise data sources. CDC helps minimize access to both source and target systems as well as supports the ability to keep a record of changes for compliance, and is a key component of many data processes.

Posted August 03, 2016

Data integration is critical to many organizational initiatives such as business intelligence, sales and marketing, customer service, R&D, and engineering. For many enterprises, however, the road to data-driven nirvana is stymied by the inflexible, calcified systems and processes that were laid out decades earlier and still control the data flow within many enterprises, according to Joe McKendrick, lead research analyst at Unisphere Research.

Posted August 03, 2016

Effective data governance improves the usability, integrity, and security of enterprise data. As organizations gather, store, and access increasing volumes of data, strong data governance allows them to have confidence in the quality of that data for a variety of tasks as well adhere to security and privacy standards.

Posted August 03, 2016

The last thing companies want is tainted data merging with incorrect information. The process of maintaining data integrity enhances the reliability of information for use by a business. This is where tools to ensure data quality come in.

Posted August 03, 2016

Modern data modeling products offer a range of important capabilities such as ways to compare models and then synchronize them, reverse- and forward-engineer systems, visual interfaces for improved ease of use, ways for data assets to be visually documented and reused, and native support for new and emerging database platforms. Many data modeling solutions also provide features to help users map and understand their information architecture to prepare for technology upgrades and process improvements, as well as understand the impact of changes before they are implemented for better appreciation of risks and challenges.

Posted August 03, 2016

Data is increasingly appreciated by companies as their most valuable asset. But the problem is that this view is not just held by organizations themselves, there are others - including hackers and - who see it that way as well. IT and data managers can play a pivotal role in enterprise security because they are the insiders with trusted status and they are aware of where the data is stored and how best to reduce or eliminate threats. Newer security technology can also relieve many of the manual burdens associated with database monitoring.

Posted August 03, 2016

For fast-paced, turn-on-a-dime digital enterprises, with demands for 24-by-7 uptime, no activity is more vital than keeping database systems up and running. Today, database availability is no longer just a critical IT issue; it is a critical business issue. To be prepared in the event of system failures, infrastructure owners and DBAs have developed strategies to increase resiliency and assure availability of data.

Posted August 03, 2016

Database development is growing more challenging all the time. Releases are expected to come out faster than ever, and teams are more spread out across, global geographies, time zones, and skill levels. Software deployment, meanwhile needs to be spread across cloud and onsite, and accessible through more devices than ever. What's needed is an integrated end-to-end environment with multi-platform support that helps simplify development and provides automation to achieve repeatable processes and avoid potential risks that can translate into unanticipated delays.

Posted August 03, 2016

With the growing appreciation of data as a valuable resource and the pressure on organizations to become data-driven, the role of database administration has become more critical than ever, and database administrators are increasingly appreciated for the critical role they play in delivering value to the organizations. Key concerns as far as database administration are availability, security, and integration across a variety of data types and storage mechanism so that analysts and business users are empowered to be able uncover key insights when they need it. It's a lot to think about, and that is why strong database administration solutions are highly valued.

Posted August 03, 2016

In 2016, Hadoop marked its 10th anniversary and now represents much more than a platform for the storage and batch processing of vast quantities of data from disparate sources in many formats. The Apache Hadoop framework, consisting of Hadoop Common, Hadoop Distributed File System (HDFS); Hadoop YARN, and Hadoop MapReduce, remains central to most big data projects and to the creation of data lakes, but Hadoop has also expanded to represent a large ecosystem of more than 100 interconnected open source Hadoop-related projects.

Posted August 03, 2016

If information is the lifeblood of organizations today, then delivering information where it is needed faster can be considered a matter of business health, and in some cases, even business survival.

Posted August 03, 2016

There is more data available to organizations than ever before, but the goal remains the same - to unlock nuggets of gold, the useful information that will result in competitive advantage for the organization, allowing it to react to customer's needs with lightning speed, uncover new opportunities, and act fast to counter competitive threats.

Posted August 03, 2016

Over the years, MultiValue technology has maintained its base of committed advocates despite the decades-long trend toward relational database management systems. And, now with an expanding appreciation for polyglot persistence, or put more simply, the selection of the best tool for the job, there is a growing recognition that different data management systems offer different benefits with some simply better suited for certain requirements than others.

Posted August 03, 2016

While relational database technology is still the undisputed leader when it comes to enterprise data management, it is also becoming increasingly apparent that it is no longer the only game in town. By now it is clear that Not Only SQL or NoSQL technology represents a key piece of a data management picture that is increasingly diverse.

Posted August 03, 2016

Cloud solutions and services continue to grow in acceptance for many reasons - the ease of deployment and upgrades, elastic scalability, and the pay as you go simplicity. Cloud database options offer an approach that allows organizations to run a database on a cloud platform, either running the DB on the cloud independently or selecting a database service that is maintained by a public cloud service provider.

Posted August 03, 2016

The rise of new data types over the past 10 years has led to new ways of thinking about data, and new data storage and management technologies such as Hadoop, NewSQL, and NoSQL. However, despite all the new technologies that have emerged in the last 10 years, one thing is clear: the relational database management system which has been the enterprise workhorse for decades will remain a critical component of the data architecture.

Posted August 03, 2016

Today, data is being recognized and appreciated as an asset, and even, some have suggested, a kind of currency. But beyond the obvious businesses built on data - such as Airbnb's rental business, Uber's car service app, and Alibaba's online marketplace - every business today is striving to become a data-driven organization, with turn-on-a-dime agility and rapid insights into customer behaviors and desires.

Posted August 03, 2016

The rapid expansion of The IT market shows no signs of abating. The growth of data in all its forms—from traditional data sources and newer sources such as social media and connected devices—is driving swift innovation. To address the need to secure, integrate, and draw meaningful insights from all this data, a steady flow of products and services, as well as new features to long-established offerings, continues to emerge.

Posted August 03, 2016

Splice Machine is teaming up with Incedo, a technology solutions provider specializing in data and analytics, product engineering, and emerging technologies, to generate solutions that will help enterprises manage data and accelerate data processing.

Posted August 03, 2016

Helping to address complex analysis problems, IBM has announced the general availability of IBM Graph, a Bluemix service that allows users to set up graph databases in the cloud. Previously offered in beta earlier this year, the availability was made public in an IBM developerWorks blog by Adrian Warman, documentation lead for IBM UK Application Platform Services, on behalf of the IBM graph team.

Posted July 28, 2016

By the mid-2000s, a huge number of web apps were built upon the so-called LAMP stack. LAMP applications utilize the Linux operating system, Apache web server and MySQL database server, and implement application logic in PHP or another language starting with the letter "P," such as Python or Perl. But the LAMP stack is now essentially obsolete technology, and the MEAN stack provides a lot of productivity advantages, especially for modern highly-interactive web sites. But the MEAN stack is not without compromise. Here's why.

Posted July 27, 2016

Workday, a provider of enterprise cloud applications for finance and human resources, has signed a definitive agreement to acquire Platfora, a provider of operational analytics and data discovery tools that enable companies to visually interact with and analyze large volumes of data. Terms of the deal, which is expected to close in Workday's third fiscal quarter, were not disclosed.

Posted July 27, 2016

Hazelcast and Heimdall Data are launching an integrated platform that provides a SQL solution that tackles the issue of on-premise or cloud application uptime and scalability caused by deficient application-to-database interaction.

Posted July 20, 2016

The next major release of MarkLogic's enterprise NoSQL database platform is expected to be generally available by the end of this year. Gary Bloom, president and CEO of the company, recently reflected on the changing database market and how new features in MarkLogic 9 address evolving requirements for data management in a big data world. "For the first time in years, the industry is going through a generational shift of database technology - and it is a pretty material shift," observed Bloom.

Posted June 30, 2016

Datavail, a provider of data management and managed database services, has announced new partnerships with SlamData and ClearDB, to expand NoSQL analytics and DBA services.

Posted June 30, 2016

Dataguise has announced the availability of Dataguise DgSecure 6.0, the company's data security platform. According to the vendor, DgSecure 6.0 offers a monitoring solution for all data source types, allowing users to quickly understand what, where, and how sensitive data is being detected, protected, and accessed across the enterprise.

Posted June 28, 2016

Trifacta, a provider of data wrangling software, is deepening technical integration with the Hortonworks Data Platform (HDP) and the industry's first certification for Apache Atlas, a data governance and metadata framework for Hadoop.

Posted June 23, 2016

For those who haven't encountered the term, the "trough of disillusionment" is a standard phase within the Gartner hype cycle. New technologies are expected to pass from a "peak of inflated expectations" through the trough of disillusionment before eventually reaching the "plateau of productivity." Most new technologies are expected to go through this trough, so it's hardly surprising to find big data entering this phase.

Posted June 22, 2016

The data manager now sits in the center of a revolution swirling about enterprises. In today's up-and-down global economy, opportunities and threats are coming in from a number of directions. Business leaders recognize that the key to success in hyper-competitive markets is the ability to leverage data to draw insights that predict and provide prescriptive action to stay ahead of markets and customer preferences. For that, they need to keep up with the latest solutions and approaches in data management. Here are 12 of the key technologies turning heads—or potentially opening enterprise wallets—in today's data centers.

Posted June 22, 2016

Announcing a new version of its "data lake in-a-box," Koverse, Inc. has released the Koverse Platform Version 2.0, which provides enhancements for organizations trying to extract value out of their investments in big data and analytics. With this introduction, the company says it is offering enterprises a 30-day guarantee to bring their data into production with a data lake capable of delivering insights for real-world organizational challenges.

Posted June 21, 2016

With the increase in data sources, data types, and data management platforms, new obstacles can also appear, creating difficulties in combining data for important insights. During educational presentations on industry trends and technologies, keynotes, discussions, and hands-on workshops at Data Summit 2016, the philosophies and technical approaches that can help organizations be successful at putting their data to work were addressed.

Posted June 17, 2016

Here we go again - yet another world changing innovation. Billions of dollars are being invested to develop and deploy this next-generation industry. Many existing methods of doing business, and businesses themselves, will be disrupted and replaced by this new wave of technology. What is this wondrous new innovation? Why it is the Internet of Things (IoT) of course.

Posted June 17, 2016

Cloudera is collaborating with Microsoft to build a new open source platform that will reduce the burden on application developers leveraging Spark. The two entities, together with other open source contributors, have built a new open source Apache licensed REST-based Spark Service, called Livy, which is still in early alpha development.

Posted June 09, 2016

Many of the NoSQL tools out there, such as MongoDB, Couchbase, Hadoop, and others, purport to be leading a revolution and breaking the bonds of servitude to the restrictive, inflexible, established, relational market. They claim users need more, users need better … and they are there to help. Of course, when speaking about those relational flaws, the comments always focus on problematic aspects of a DBMS' physical implementation.

Posted June 09, 2016

Data Summit 2016 in New York City drew IT managers, data architects, application developers, data analysts, project managers, and business managers. Analytics, search, machine learning, and IoT were some of the key topics of discussion in educational presentations on industry trends and technologies, keynotes, and hands-on workshops.

Posted June 08, 2016

Progress is releasing a new package of platforms that will enable enterprises to tap into the full potential of digital business. Progress DigitalFactory is a new cloud-based platform that provides a holistic, extensible solution for businesses to create omni-channel digital experiences.

Posted June 08, 2016

While the high-speed world of futuristic IoT applications sounds exciting, it is really the mass of connected "small data" sensors that is truly going to deliver on the social and economic promise of the IoT revolution. The problem is how to effectively connect this "small data" IoT world.

Posted June 08, 2016

Emerging and newer vendors can offer fresh, innovative ways of dealing with data management and analytics challenges. Here, DBTA looks at the 10 companies whose approaches we think are worth watching.

Posted June 06, 2016

The IT landscape is always shifting and being contoured by external market forces and internal industry initiatives. Against this changing backdrop, each year, DBTA presents a list of 100 companies that matter in data, compelling us to pause and reflect on the market changes taking place.

Posted June 06, 2016

While the focus of the IoT data discussion has understandably been on the strength of near real-time analytics to power what will soon become automated decisions based on information such as sensor data, there is also the question of what happens with data after the real-time window has closed. The time value of data is an important thing for IoT-enabled businesses to consider. Applying cost versus benefit to data is the first step organizations must take when considering the benefit of storing data, which data to store, and how secure the data will be.

Posted June 06, 2016

Teradata has introduced the Teradata Aster Connector for Spark, an integration of Apache Spark analytics with Teradata Aster Analytics. The connector enables pre-built analytics functions from both solutions to be executed from Aster Analytics, enabling anyone who can use Aster Analytics to also run advanced analytics on Spark without the need to learn or know Scala.

Posted June 06, 2016

NoSQL database technology vendor Couchbase has introduced a new Couchbase Spark Connector. According to Couchbase, the new Spark connector will enable businesses to gain business insights faster, enabling them to deliver better customer experiences through web, mobile and IoT applications.

Posted June 06, 2016

In the wide world of Hadoop today, there are seven technology areas that have garnered a high level of interest. These key areas prove that Hadoop is not just a big data tool; it is a strong ecosystem in which new projects coming along are assured of exposure and interoperability because of the strength of the environment.

Posted June 03, 2016

In a new book, titled Next Generation Databases: NoSQL, NewSQL and Big Data, Guy Harrison explores and contrasts both new and established database technologies. Harrison, who leads the team at Dell that develops the Toad, Spotlight, and SharePlex product families, wrote the book to address the gap he sees in the conversation about the latest generation of databases.

Posted June 03, 2016

Open Text Corporation, a provider of Enterprise Information Management solutions, is entering into a definitive agreement to acquire Recommind, Inc., a leading provider of eDiscovery, and information analytics. The transaction purchase price is approximately $163 million and with this acquisition, Recommind's eDiscovery platform will complement OpenText's own enterprise information management (EIM) solutions.

Posted June 02, 2016

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