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Data Quality Articles

To evaluate data quickly and enable predictive analytics based on sources of rapidly changing data - including social media, sensors, and financial services data -- streaming data solutions come to rescue, providing the data when it is needed ... now.

Posted August 03, 2016

Many enterprises are finding themselves with different options when it comes to moving, working, and storing data. While one tool may be right for one organization, another or a combination of tools may be just what the doctor ordered.

Posted August 03, 2016

Data virtualization provides organizations with the ability to allow the business and IT sides of organizations to work closer together in a much more agile fashion, and helps to reduce the complexity.

Posted August 03, 2016

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

Talend S.A., a provider of big data and cloud integration solutions, successfully launched its IPO. The offering included 5,250,000 American Depositary Shares (ADSs), each representing one of its ordinary shares, at a price to the public of $18 per ADS, which was higher than anticipated - and then rose sharply.

Posted July 29, 2016

RedPoint Global, a provider of data management and customer engagement software, has announced integration with Microsoft Azure HDInsight to support enhanced data management capabilities via Hadoop deployments on Microsoft Azure. RedPoint is a member of the Microsoft Partner Network, and the new integration evolved from its participation in the Microsoft Enterprise Cloud Alliance Program.

Posted June 30, 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

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

Splice Machine has announced that it is releasing its database management system, a dual-engine RDBMS powered by Hadoop and Spark, as an open source platform. The community edition will be free for members of the open source community, allowing them to use as well as modify source code, whereas the enterprise edition will include a set of proprietary tools focused on operational features that enable DBAs and DevOps teams to maintain, tune, and keep the platform secure while it's live.

Posted June 10, 2016

Alteryx, Inc., a provider of self-service data analytics, is expanding its self-service analytics capabilities for analysts using the Salesforce platform. Alteryx is improving its integration with Salesforce Wave Analytics as well as updating read / write capabilities across the Salesforce Customer Success Platform.

Posted June 10, 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

Keeping your DBMS software up-to-date can be a significant job. The typical release cycle for DBMS software is every 18 to 36 months for major releases, with constant bug fixes and maintenance updates delivered in between those major releases.

Posted June 09, 2016

When working with data governance practitioners, I often hear comments that indicate pockets of data governance excellence (the proverbial half-full glass) or silos of data governance (half-empty) as they work toward the common goal of enterprise data governance. This is often accompanied by an observation that "if we could just get everyone to follow the rules (the same rules), then we could truly and successfully govern at the enterprise level."

Posted June 09, 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

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

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

Big data represents an enormous shift for IT, said Craig S. Mullins in a presentation at Data Summit 2016 in NYC that looked at what relational database professionals need to know about big data technologies. Mullins, a principal of Mullins Consulting, and the author of the DBA Corner column for DBTA, provided an overview of the changes that have taken place in the DBTA arena in recent years, and the key technologies that are having high impact.

Posted June 01, 2016

Confluent is releasing an updated version of its streaming data platform, making Kafka easier to understand and deploy. Confluent 3.0 includes the latest version of Kafka with critical bug fixes along with a variety of extensions to connect to the Kafka platform.

Posted May 27, 2016

COLLABORATE, the annual conference presented each year by the OAUG, IOUG and Quest, provides the opportunity to reflect on key changes in the Oracle ecosystem and allows the users groups to engage with their constituents about the areas of greatest importance. With the COLLABORATE 16 conference now behind her, Dr. Patricia Dues, the new president of the OAUG, talked with DBTA about what OAUG members are concerned with now and how the OAUG is helping them address emerging challenges.

Posted May 25, 2016

Utilizing data lakes are an alluring option for users with an enormous amount of information, yet questions remain regarding data accuracy, security, and relevancy. Three experts in the big data space, including Anne Buff, business solutions manager for SAS best practices at the SAS Institute, Abhik Roy, database solution engineer at Experion, and Tassos Sarbanes, data architect at Credit Suisse, participated in a roundtable discussion at Data Summit 2016 that focuses on these questions and more regarding data lakes.

Posted May 25, 2016

With newer and newer big data sources exploding onto the scene, traditional data warehouses are being challenged. Satya Bhamidipati, director of business development of big data and advanced analytics at Oracle, discussed data mining and advanced analytics techniques that will enable the monetization of data during a session at Data Summit 2016.

Posted May 25, 2016

Dell is updating its SharePlex database replication and near real-time data integration solution to enable users to replicate Oracle data directly to SAP HANA, Teradata, or EnterpriseDB Postgres.

Posted May 25, 2016

Data Summit 2016 kicked off at the New York Hilton Midtown earlier this month with keynote presentations by Ben Wellington, the creator of I Quant NY, and Nicholas Chandra, vice president of Cloud Customer Success at Oracle.

Posted May 25, 2016

Companies are facing a growing problem: Data is everywhere, clogging up systems and preventing enterprises from gaining meaningful insights. Data virtualization is a way to reduce data proliferation and ensure that all consumers are working from a single source.

Posted May 23, 2016

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