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Virtualization

The enterprise use of virtualization is expanding in all its forms. The growing range of use cases includes Server Virtualization, Data Virtualization, Database Virtualization, Desktop Virtualization, as well as Virtualization used more broadly for IT infrastructure in support of the “Software-Defined Data Center.”



Virtualization Articles

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

Velostrata, which provides software for moving cloud workloads, has introduced a new release of its namesake platform, adding capabilities to simplify, speed, and decrease the risk associated with cloud migration in support of enterprise hybrid cloud initiatives.

Posted August 03, 2016

SolarWinds, a provider of IT management software, has announced significant updates to the SolarWinds Database Performance Analyzer (DPA). Version 10.2 supports MySQL as a back-end database in addition to SQL Server and Oracle Database, includes visualization and analysis tools to help DBAs optimize for and resolve blocking, locking, and deadlock issues, and adds support for Microsoft SQL Server 2016.

Posted August 02, 2016

Monte Zweben, CEO and co-founder of the company that was founded in 2012, talks with Big Data Quarterly about why Splice Machine has rolled out an open source Community Edition - and why it is doing so now

Posted July 18, 2016

Delphix is developing a three-tiered Channel Partner Program to support a growing demand for more agile data management.

Posted July 15, 2016

Oracle has rolled out new additions to the SPARC platform. Built on the new SPARC S7 microprocessor, the latest additions to the SPARC platform include new cloud services, engineered systems, and servers. With the new SPARC S7 products and services, Oracle is offering a full spectrum of SPARC offerings that go from public cloud offerings all the way to on-premise server offerings, and opening up new opportunities to customers in their path to cloud computing, said Marshall Choy, VP of Product Management at Oracle.

Posted July 06, 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

As the growing size and complexity of database environments strain resources at most IT departments, many are looking for ways to standardize infrastructure and automate routine tasks to free up assets. Joe McKendrick, lead research analyst at Unisphere Research, and Sam Lucido, director for technical applications marketing at EMC Corp., recently discussed strategies for Oracle users and IT, including the results of a new survey conducted in partnership with the IOUG, VMware, and EMC regarding obstacles data managers face while managing networks and delivering reliable information.

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

The General Data Protection Regulation (GDPR) is a legal construct that emanates from the EU and has already resulted in far-ranging implications for all producers, providers, and consumers of services delivered or maintained in the cloud. Though it has yet to go into effect, this system of regulations is sure to impact every provider, producer, and consumer of cloud-based infrastructure, products, services, and, most importantly, data in the years ahead.

Posted June 08, 2016

Cloud computing is gaining ground in the enterprise since it allows businesses to concentrate on their core competencies rather than on IT. As cloud becomes more popular, organizations are focusing on hybrid strategies that combine on-premise and cloud capabilities, industry research shows. However, data integration and security remain concerns.

Posted June 07, 2016

SIOS Technology Corp., a provider of software products for optimizing and protecting business-critical application environments, is rolling out a new release of SIOS iQ, its machine learning analytics software for VM environments. Providing a key new capability, SIOS has worked with SQL Sentry to integrate iQ version 3.7 with SQL Sentry Performance Advisor to bridge what it describes as a critical gap between IT infrastructure administrators and SQL Server administrators.

Posted June 07, 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

Today at Spark Summit, MapR Technologies is announcing a new enterprise-grade Apache Spark Distribution. "This is a Spark-focused distribution that combines Apache Spark with the real time, persistent, web-scale data layer of MapR," said Jack Norris, SVP, Data and Applications, MapR. The new Spark Distribution option for the MapR Converged Data Platform enables advanced analytics - including batch processing, machine learning, procedural SQL, and graph computation, and is a production-ready platform for Spark workloads on-premise and in the cloud.

Posted June 06, 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

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

Dynatrace, a digital performance software company, is teaming up with Pivotal, to deploy its application monitoring solutions for the Pivotal Cloud Foundry (PCF) platform. The integration of Dynatrace with Pivotal Cloud Foundry will enable companies to take advantage of this acceleration by collecting analytics for applications running on PCF, allowing them to detect and act on performance shortcomings and optimize end-to-end transaction latencies.

Posted May 26, 2016

The OpenStack Trove database as a service (DBaaS) project has come a long way since incubation in Grizzly and Havana, and integration in the Icehouse release in April 2014. At that time, it supported single instances of MongoDB, MySQL and a few other databases. Today, Trove supports Cassandra, Couchbase, CouchDB, DataStax Enterprise, DB2 Express, MariaDB, MongoDB, MySQL Percona, Percona XtraDB Cluster, Redis, and Vertica.

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

Database backups and restores are key to developing a secure environment for users' information. A trusted backup plan is a requirement for on-premise and cloud instances.

Posted May 25, 2016

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