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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

VMware has completed the acquisition of Pivotal Software, a cloud-native platform provider. Following the acquisition, Pivotal's Class A common stock was removed from listing on the New York Stock Exchange. Pivotal will now operate as a wholly owned subsidiary of VMware. The transaction represented an enterprise value for Pivotal of approximately $2.7 billion.

Posted January 13, 2020

We are at the start of a new year and a new decade and technology is poised for fast change. Recently, Ram Chakravarti, CTO at BMC Software offered his predictions for an autonomous digital enterprise, edge computing and IoT solutions, ITSM, AIOps—and more.

Posted January 09, 2020

To fit into modern analytics ecosystems, legacy data warehouses must evolve—both architecturally and technologically—to deliver the agility, scalability, and flexibility that business need to thrive in today's data-driven economy. Alongside new architectural approaches, a variety of technologies have emerged as key ingredients of modern data warehousing, from data virtualization and cloud services, to Hadoop and Spark, and machine learning and automation.

Posted January 09, 2020

VMware Virtual Volumes has gained increasing adoption from storage vendors since its release. Virtual Volumes can help provide many distinct capabilities for virtualized Tier 1 business critical Oracle workloads that have not been available with traditional storage.

Posted January 08, 2020

erwin, the data governance company, is releasing an updated version of erwin Data Modeler (erwin DM), introducing new innovation across its enterprise modeling and data governance suites.

Posted January 08, 2020

Today's enterprise clouds are evolving, and businesses need to evolve with them by embracing the next-generation cloud model. As a new year—and a new decade—unfolds, here are 5 predictions from Oracle on how new technologies and business models are changing.

Posted January 08, 2020

Oracle and Microsoft have expanded their cloud interoperability partnership with the addition of a new interconnect location that enables enterprises to build workloads that interoperate between Microsoft and Oracle cloud regions in Canada. According to Oracle, 80% of enterprises use a combination of Microsoft and Oracle software to run their businesses, and, as cloud computing becomes ubiquitous, and businesses rely more on multiple cloud providers, the partnership is helping to make managing important cloud workloads significantly easier

Posted January 08, 2020

GoodData, a provider of end-to-end analytics solutions, is extending its new Freemium tier pricing to more users via support of cloud data warehouses Snowflake and Big Query, along with the previously announced Amazon Redshift.

Posted January 07, 2020

There are many scripting languages out there, with the latest being Flux by InfluxData. Flux is a functional data scripting language designed to accommodate a wide array of data processing and analytical operations. DBTA recently held a webinar with Scott Anderson, technical writer, InfluxData, who discussed the origins of Flux, key concepts, basic Flux syntax and more.

Posted January 06, 2020

Access Innovations director of business development Bob Kasenchak explains how to deal with unreliably or inadequately indexed extracted source data with controlled subject indexing in this clip from his presentation at Data Summit 2019. 

Posted January 06, 2020

From data lakes and the cloud, to machine learning and artificial intelligence, the world of big data and analytics continues to evolve. At the same time, the need for improved governance and security practices is also intensifying as data privacy concerns and new regulations like GDPR and CCPA require new approaches for responsible use of data.

Posted January 03, 2020

The big data space is constantly in flux. New and emerging technologies plan to disrupt reliable legacy solutions while others hope to work in harmony with tools in the market. What are the next explosive trends for 2020?

Posted January 03, 2020

With the closing of one year comes another and this time a whole new decade awaits. Every year Database Trends and Applications magazine looks for offerings that promise to help organizations derive greater benefit from their data, make decisions faster, and do so with higher levels of security. Key data management trends have emerged that are shaping the capabilities of IT products and services for 2020 and beyond.

Posted January 02, 2020

2019 was a banner year for cybersecurity crime, with hackers targeting consumers, government agencies, and private corporations alike. According to the Ponemon Institute, the average total cost of a data breach is $3.86 million, and 80% of U.S. businesses expect that they will have had a critical breach this year. These numbers are not only sizable; they're alarming.

Posted December 30, 2019

Many organizations are experimenting with AI programs, but most of them face a significant and seemingly intractable problem. Although proof-of-concept (POC) projects and minimum viable products (MVPs) may show value and demonstrate a potential capability, frequently, they are difficult to scale.

Posted December 30, 2019

The cloud was on everyone's mind this past year; with so many questions rising surrounding how to secure cloud environments to what type of cloud is best for the organization. Cloud computing has revealed countless new dimensions to IT. There are public clouds, private clouds, distributed clouds, and hybrid, multi-cloud architectures.

Posted December 24, 2019

The Internet of Things has connected different facets of the enterprise in ways that were previously only imagined. Now companies and customers demand to see results and understand those results in real time or near-real time. IoT can connect enterprise assets to gain real-time insights, which improve decision making, drive efficiency, empower employees, and create better customer experiences. Here, executives of leading companies offer 6 predictions for what's ahead in 2020 for the IoT space.

Posted December 24, 2019

There's no doubt that AI has taken center stage in the enterprise data and analytics world, as evidenced by the mass quantities of related headlines, conferences, and vendor marketing. But hype aside, business executives are now discovering how to leverage AI for improved decision making with augmented or assistive intelligence solutions or the competitive advantages in new products and services. AI is proving its viability in the real world, including enterprise data and analytics.

Posted December 23, 2019

In 2019 artificial intelligence and machine learning continued its upward trajectory in the market, promising to change the future as we know it. To help support data management processes and decision making, artificial and augmented intelligence is being infused into products and services. Machine learning sits in the center of all AI conversations, as combining machine learning with AI and cognitive technologies can make it even more effective in processing large volumes of information. Both technologies can lead to automation of tasks inside and outside the enterprise-another subject that promises to make waves in the future.  Here, executives of leading companies offer 10 predictions for what's ahead in 2020.

Posted December 20, 2019

Dotscience, a provider of DevOps for Machine Learning (MLOps) solutions, is forming partnerships with GitLab and Grafana Labs, along with strengthening integrations with several platforms and cloud providers. The company is deepening integrations to include Scikit-learn, H2O.ai and TensorFlow; expanding multi-cloud support with Amazon Web Services (AWS) and Microsoft Azure; and entering a joint collaboration with global enterprises to develop an industry benchmark for helping enterprises get maximum ROI out of their AI initiatives.

Posted December 18, 2019

Unravel Data, a data operations platform providing full-stack visibility and AI-powered recommendations, is joining the Amazon Web Services (AWS) Partner Network (APN) Global Startup Program. The Unravel platform is designed to accelerate the adoption of big data workloads in AWS. By supporting Amazon EMR, Unravel allows users to connect to a new or existing Amazon EMR cluster with just one click.

Posted December 18, 2019

SAP is forming a partnership with project44, a global leader in advanced visibility for shippers and logistics service providers, to change the way shippers manage the delivery process. The companies plan to offer a joint solution for key transportation processes, such as receiving and tracking, that will connect, automate, and provide visibility data and insight from project44 within SAP Logistics Business Network.

Posted December 18, 2019

The next decade is just around the corner and enterprises in and around the big data space are preparing to pounce upon the next set of trends the new year will bring. The cloud is primed to continue making waves, along with other digital disruptions to improve user experiences. Several industry experts from SAP have offered up what they see as the top trends for 2020. 

Posted December 18, 2019

Syniti, a global data management solution provider, is releasing the Syniti Data Replication 9.6 software solution, a flexible platform that provides fast up-to-the-minute data replication with real-time change data capture. Available on-premise or in the cloud, Syniti Data Replication enables successful management of data growth, faster synchronization and integration, and analysis of data. 

Posted December 18, 2019

Prior to 2008, whatever your database question, the answer was always, "Oracle"—or sometimes, "MySQL" or, "SQL Server." The relational database management system (RDBMS) model—really a triumvirate of technologies combining Codd's relational data model, the ACID transaction model, and the SQL language—dominated database management systems completely.

Posted December 18, 2019

IDERA, an Idera, Inc. company, has introduced SQL Diagnostic Manager for MySQL v8.9, which adds new features that strengthen the query analysis and enterprise security of SQL Diagnostic Manager for MySQL to monitor databases in the cloud and on-premise with a single tool. SQL Diagnostic Manager for MySQL was previously known as Monyog, which was part of Webyog's database administration and management products that Idera, Inc., acquired in April 2018.

Posted December 18, 2019

SolarWinds, a provider of IT management software, has acquired VividCortex, a provider of SaaS-delivered database performance management with an emphasis on databases commonly used in cloud-native applications designed to meet the needs of a wide range of customers. SolarWinds plans to add the VividCortex product to its IT operations management portfolio beginning in Q4 2019. The SaaS-based offering will complement SolarWinds' Database Performance Analyzer (DPA), an on-premise and cloud-deployed product.

Posted December 18, 2019

Oracle business strategist Lee Levitt laments the lack of data-driven organizations in today's business world in this clip from his keynote at Data Summit 2019.

Posted December 18, 2019

Cambridge Semantics' Anzo platform is now available to enterprises in Australia and New Zealand through a partnership with Allinno, a systems integrator and consulting firm based in Australia. "The market for graph and semantic technologies is growing exponentially as companies have recognized their value in solving the most complex data discovery and analytics challenges," said Steve Dischinger, vice president of business development, Cambridge Semantics.

Posted December 17, 2019

Ontotext is updating its signature platform with new GraphQL interfaces to make it easier for application developers to access knowledge graphs without tedious development of back-end APIs or complex SPARQL. The underlying Semantic Object service implements an efficient GraphQL to SPARQL translation optimized for GraphDB, as well as a generic configurable security model.

Posted December 17, 2019

It is said that form follows function in architecture, and we are seeing something similar in IT, where job titles follow current trends. So move over data scientist. The "contextualist" is here. We have a lot of shifts in IT, and today we are at the dawn of Industrial Revolution Number Four. This revolution started in the communications industry about a decade ago, with advances in mobile technology that helped disrupt the traditional media world by offering online news and entertainment.

Posted December 16, 2019

The big data ecosystem has changed. No longer is it true that people just want to store massive quantities of data. Action is not only needed but must be taken to sustain the viability of an organization. While some say big data is dead, the concept isn't going anywhere. Instead, it is the notion of inaction on big data that is dead. In addition, the technologies that were built to store and process big data are not loved by the industry; they are merely tolerated and are often maligned. They have been difficult to put into production, to maintain, manage, and even find people with the skills to do all the work.

Posted December 16, 2019

Accenture is acquiring Clarity Insights, a U.S.-based data consultancy with deep data science, artificial intelligence (AI), and machine learning (ML) expertise. The acquisition will add nearly 350 employees, along with a strong portfolio of accelerators, which can help organizations more quickly realize value from their data, to Accenture's Applied Intelligence business. These additions will further equip clients with leading capabilities to meet the growing demand for enterprise-scale AI, analytics, and automation solutions.

Posted December 13, 2019

As the urgency to compete on analytics continues to revolutionize the business world, more and more organizations are moving their data to the cloud to reduce infrastructure costs, increase efficiencies and improve time-to-value. At the same time, there are many success factors to consider, from the strengths and weaknesses of different cloud providers, to integration hurdles, data latency challenges and governance problems.

Posted December 12, 2019

Dynatrace announced the company has created Keptn, an open source pluggable control plane to advance the industry movement toward autonomous clouds. Keptn provides the automation and orchestration of the processes and tools needed for continuous delivery and automated operations for cloud native environments.

Posted December 12, 2019

dotData, focused on delivering full-cycle data science automation and operationalization for the enterprise, has achieved Advanced Technology Partner status in the Amazon Web Services (AWS) Partner Network (APN). Achieving APN Advanced Technology Partner status is recognition of dotData's ability to deliver data science automation and machine learning (ML) automation on AWS.

Posted December 12, 2019

Google Cloud has developed a new software service that helps organizations accomplish large-scale, online data transfers. The goal is to help take the complexity out of data transfers and move data faster than existing online tools like gsutil. "In migrating to the cloud, enterprises can realize the full value of their data—building new apps and experiences faster and accessing analytics and machine learning solutions to generate new insights," Ash Ahluwalia, product manager at Google Cloud, told 5 Minute Briefing.

Posted December 12, 2019

Aerospike, a provider of real-time NoSQL data solutions, has announced the general availability of version 4.8. "Aerospike's unique, hardware-optimized NoSQL database platform unlocks ultra-fast runtime performance, unlike alternative solutions that are not as deeply integrated with the underlying hardware," said Srini Srinivasan, chief product officer and founder, Aerospike.

Posted December 11, 2019

GigaSpaces, the provider of Insight Edge, is releasing GigaSpaces Version 15.0, including updates to the InsightEdge Platform and XAP, to operationalize and optimize machine learning. GigaSpaces Version 15.0 powers machine learning operations (MLOps) initiatives, helping enterprises maximize the business value derived from big data.

Posted December 11, 2019

Oracle OpenWorld, which has for many years been held in San Francisco during the month of September or October, is moving to Las Vegas. "Oracle is excited to offer a modern, state-of-the-art experience for attendees at Oracle OpenWorld and Code One 2020 in Las Vegas," an Oracle spokesperson said in a written statement. "The city and its vast amenities are tailor-made for hosting large-scale events, and we look forward to bringing the industry's most comprehensive technology and developer conference to America's premier hospitality destination."

Posted December 11, 2019

DataKitchen has announced the release of the latest edition of the DataOps Cookbook, a guide to understanding and implementing DataOps. The DataOps methodology is gaining traction, said Chris Bergh, CEO and head chef at DataKitchen, who noted it has arisen out of a recognition that data and analytics projects and initiatives are not working, both in terms of meeting business requirements and in terms of timeliness.

Posted December 10, 2019

Processing big data in real-time for artificial intelligence, machine learning, and the Internet of Things poses significant infrastructure challenges. Whether it is for autonomous vehicles, connected devices, or scientific research, legacy NoSQL solutions often struggle at hyperscale. They've been built on top of existing RDBMs and tend to strain when looking to analyze and act upon data at hyperscale - petabytes and beyond.

Posted December 09, 2019

Prior to 2008, whatever your database question, the answer was always,"Oracle"—or sometimes, "MySQL" or, "SQL Server." The relational database management system (RDBMS) model—really a triumvirate of technologies combining Codd's relational data model, the ACID transaction model, and the SQL language—dominated database management systems completely.

Posted December 09, 2019

Syncsort has completed the acquisition of the Pitney Bowes software and data business, creating a data management software company with more than 11,000 enterprise customers, $600 million in revenue and 2,000 employees worldwide. The combined portfolio brings together capabilities in location intelligence, data enrichment, customer information management and engagement solutions with data integration and optimization software.

Posted December 09, 2019

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