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Data Integration

Traditional approaches to the process of combining disparate data types into a cohesive, unified, organized view involve manual coding and scripting. The need for Real-Time Business Intelligence and the ability to leverage a wider variety of data sources is driving companies to embrace new ways to achieve Data Integration, including Data Virtualization, Master Data Management, and Integration Automation.



Data Integration Articles

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

While temporal data support is something that has existed in the past within other database platforms, it is a newly available feature with the RTM version of SQL Server 2016. In case you haven't heard of temporal data values (or for some, "bitemporal"), here is a brief explanation.

Posted June 09, 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 09, 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 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

Almost all organizations have migrated at least some infrastructure to the cloud. In fact, just 9% of IT departments have not migrated anything. Furthermore, databases rank in the top three for both infrastructure already migrated to the cloud and infrastructure with the highest priority for future migration.

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

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

Data Dynamics, Inc., a provider of storage management solutions for unstructured data, has introduced new software modules as part of the StorageX platform.

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

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

Using data visualization to support visual data storytelling is a craft, and one that takes practice, expertise, and a good bit of drafting and rewriting. Strong visual narratives that make data easier to understand, according to The Economist, "meld the skills of computer science, statistics, artistic design, and storytelling."

Posted June 07, 2016

This week at Spark Summit, data management companies are rolling out new Spark integrations and support at Spark Summit to enable their users to take advantage of the open source data processing framework. In addition, Databricks, the company founded by the team that created Apache Spark, has announced that the Databricks Community Edition (DCE) is now generally available.

Posted June 07, 2016

A new integrated development environment for real-time, high performance analytics, available on IBM Cloud, called the Data Science Experience, is aimed at helping to blend emerging data technologies and machine learning into existing architectures.

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

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

At Spark Summit in San Francisco this week, Microsoft announced it is making a major commitment for Spark to power Microsoft's big data and analytics offerings including Cortana Intelligence Suite, Power BI, and Microsoft R Server.

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

Attunity Ltd. is partnering with Microsoft Corp. to enable faster and easier adoption of Microsoft SQL Server 2016. The partnership allows Microsoft to tap into Attunity Replicate's data replication and change data capture technologies to achieve "zero-downtime migrations" from systems such as Oracle and others to SQL Server 2016.

Posted June 06, 2016

SQL Server 2016 became generally available on June 1, as scheduled previously by Microsoft. Described as the "biggest leap forward in Microsoft data platform history" in a Microsoft Developer Network blog, the new release provides improvements in real-time operational analytics, visualizations on mobile devices, analytics, as well as new security technology and hybrid cloud scenarios.

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 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

The honeymoon between business and big data is over. The end was conclusively noted when Gartner placed big data in its trough of disillusionment. We've reached a point where companies must figure out how to use big data analytics in profitable ways.

Posted June 03, 2016

Cisco and IBM are partnering to provide instant Internet of Things (IoT) insights at the edge of the network. The new approach combines technology from both companies to allow businesses and organizations in remote and autonomous locations to tap the benefits of IBM's Watson IoT and business analytics technologies and Cisco's edge analytics capabilities.

Posted June 02, 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

Oracle is introducing version 4.0 of its NoSQL database. First introduced in 2011, the Oracle NoSQL Database is a key-value database that evolved from the company's acquisition of BerkeleyDB Java Edition, a mature, high-performance embeddable database. Ashok Joshi, senior director of NoSQL, Berkeley Database, and Database Mobile Server at Oracle, outlined the key enhancements in the new release.

Posted June 01, 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

The ability to stand up and voice your opinion about a solution or technology that will not solve a business problem is critical. At times, choices are made for budgetary reasons, and other times, it may be organizational pressure. But regardless of the reason, as IT professionals, we need to be courageous and do the right thing, whatever that is.

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

EnterpriseDB , a Postgres database company, is releasing the EDB Postgres platform. The EDB Postgres platform enables a wide range of deployment topologies, integrates EDB's enterprise-ready Postgres database with other leading data management solutions, and offers a specialized partner ecosystem for new deployment models.

Posted May 27, 2016

Enhancing Its machine learning and operations analytics capabilities for clients, Accenture has completed its acquisition of OPS Rules, a boutique analytics consulting company that specializes in the application of data science to create supply chain and operations analytics solutions. With the purchase, Accenture says it is enhancing its machine learning and operations analytics capabilities.

Posted May 26, 2016

What's on the horizon for big data, analytics, and business intelligence as technology evolves faster and faster? In Data Summit's 2016 closing keynote John O'Brien, principal analyst and CEO, at Radiant Advisors, discussed how technology will evolve and grow in the future.

Posted May 26, 2016

Melissa Data is introducing new data quality capabilities in its Microsoft Dynamics CRM integration platform. Dynamics CRM users now have access to data quality services to verify global address, email, name, and phone information for over 240 countries and territories.

Posted May 26, 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

Alpine Data is making advancements to its Chorus platform, combining an integrated analytics platform with improvements that will accelerate the delivery of data. Chorus 6 now delivers capabilities that will help business leaders take the reins in assisting organizations in managing processes that connect machine learning to business behavior.

Posted May 26, 2016

Thanks to the cloud and other empowering technologies such as Hadoop and Apache Spark, we're at the tipping point for big data. These technologies now provide a path to big data success for companies who otherwise lack the specialized big data skills or heretofore proprietary (and expensive) infrastructure to do it themselves. As 2016 progresses, we'll see the broader market put big data capabilities to work and the benefits of big data will, in turn, spread beyond the privileged few companies that were early big data adopters.

Posted May 25, 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

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 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

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