Newsletters




Trends and Applications



Data integration is critical to many organizational initiatives such as business intelligence, sales and marketing, customer service, R&D, and engineering. These days, however, data integration is getting more complicated. There are more types of data than ever before, as well as more sources, and more target platforms on can be stored.

Posted August 04, 2015

Data replication advances a number of enterprise goals, supporting scenarios such as distribution of information as part of business intelligence and reporting initiatives, facilitating high availability and disaster recovery, and as part of a no-downtime migration initiative.

Posted August 04, 2015

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 of record of changes for compliance, and is a key component of many data processes.

Posted August 04, 2015

The overall goal of data integration is to achieve a complete view of enterprise data across disparate data environments. One approach that has come to the fore to overcome data silos and revive the original goal of the data warehouse is data virtualization.

Posted August 04, 2015

The cloud has enabled a range of capabilities such as big data analytics, unlimited capacity for storage, and a range of other on-demand services.

Posted August 04, 2015

In a fast-paced world, data driven decisions must be made quicker than ever before. When organizations need to analyze fast-developing business events as they happen in real time - with the ability to evaluate threats, risks, and opportunities - a streaming data solution is required to improve usability and speed time to insight.

Posted August 04, 2015

Business intelligence encompasses a variety of tools that enable organizations to collect data from internal systems and external sources, prepare it for analysis, develop, and run queries against the data, and create reports, dashboards and data visualizations.

Posted August 04, 2015

Organizations are continuing to see data as a treasure trove from which they can extract valuable insights. Data mining solutions provide the tools that enable them to view those hidden gems and facilitate better understanding of new business opportunities, competitive situations, and complex challenges

Posted August 04, 2015

Query and reporting solutions are part of a comprehensive business intelligence approach. When you have questions, these solutions provide the answers. For as long as enterprises have been gathering data, BI groups have been utilizing query and report programs as the primary applications that produce output from information systems.

Posted August 04, 2015

With more companies utilizing a variety of tools to back up their data, enterprises are looking to offload some of that information into a space that is offsite and cost-effective. Cloud could be the answer as it has transformed computing, making it less expensive, easier and faster to create, deploy, and run applications as well as store enormous quantities of data.

Posted August 04, 2015

Efficient, secure storage plays a critical role in the enterprise. Tech companies are beginning to offer smarter storage solutions, enabling greater efficiency through data compression, information lifecycle management, and tiered storage strategies.

Posted August 04, 2015

In the age of big data, organizations require solutions that can help manage the three Vs, volume, velocity, and variety. Addressing the three Vs are the converging forces of open source, with its rapid crowd-sourced innovation, cloud, with its unlimited capacity and on-demand deployment options, and NoSQL database technologies, with their ability to handle unstructured, or schema-less, data.

Posted August 04, 2015

No matter what the causes, a series of unfortunate events added up to a lot of bad news for data security and availability during one week in early July. In addition to an outage at the New York Stock Exchange, IT issues resulted in the grounding of United Airlines planes for 2 hours on the same day, and new revelations surfaced about a data breach at the U.S. Office of Personnel Management.

Posted July 21, 2015

If you read the headlines, downtime is a real and material risk to your business. Whether it's international hackers, massive power outages or just hardware and software that reaches its end of life, IT organizations continue to be challenged by unplanned downtime and data loss. And it's costing them as much as $1.7 trillion a year.

Posted July 21, 2015

Many developers are familiar with the relational way to model data but may not be as familiar with modeling data in a document database. There are three main things developers need to know about modeling data in a document database: document design, key design, and querying.

Posted July 21, 2015

Before enterprises create data architecture for business intelligence and analytics, there are a few key components they need to consider.

Posted July 21, 2015

Data integration requirements are growing more demanding. In today's computing environments, data must often be moved between on-premises systems and public clouds, between private and public clouds, between different hybrid clouds, or between different public clouds. A new report based on a survey conducted by Unisphere Research among 342 IOUG members looks at the current state of data integration in the cloud era, including the key issues, priorities and solutions being adopted by organizations. The "2015 IOUG Data Integration for Cloud Survey" was sponsored by Oracle.

Posted July 21, 2015

As Agile development increases in popularity, companies have achieved faster time to market, reduced risk, and increased ability to manage changing priorities in their projects. However, what Agile means for the DBA team is more database deployments more often.

Posted July 08, 2015

Amazon CEO Jeff Bezos is quoted as saying, "What's dangerous is to not evolve." His company has followed this mantra to the point where you can't tell any more if Amazon is a retail, media, or tech company. Organizations must follow Bezos' advice when it comes to evolving their digital analytics efforts or choose to live dangerously in an increasingly data-driven world.

Posted July 08, 2015

It is still early days for Spark, and despite the promise it holds, companies are just now working through how best to use it, how to integrate it within their existing environments, and how to make the most of its libraries and other built-in capabilities. To provide more information and thought leadership on the open source framework, IBM, which recently announced a major commitment to Apache Spark, sponsored a DBTA webcast.

Posted July 08, 2015

Midstate Mutual Insurance Company provides property and casualty insurance in New York State, through insurance products that are sold exclusively through independent agencies located throughout upstate New York. To meet escalating information technology requirements and stay successful, Midstate, a longtime Revelation Software customer, has evolved to offer online access at any time, and from any device through separate, dedicated portals for agents and customers.

Posted July 08, 2015

What matters most in data management in 2015? There are a lot of moving parts that data managers and professionals need to attend to in today's enterprises. Databases need to be wide open and accessible to all parts of the business, but at the same time, secure and free of tampering. Unstructured forms of data—such as log data, documents, graphics, video, and social data—need to be prepared and ready for analysis in the same way structured files have been ready for years.

Posted June 25, 2015

Nowadays, data moves well beyond the data center—as well as beyond corporate walls. The challenge is to support data as it moves from data center to cloud, from cloud to cloud, and from cloud to data center. This issue was explored in a recent survey conducted by Unisphere Research among the members of the Independent Oracle Users Group (IOUG).

Posted June 25, 2015

Software is "eating the world," as Marc Andreessen famously said in The Wall Street Journal. Companies such as Amazon, Netflix and Pandora have upended the retail, video, and music industries by operating, at their heart, as software-based companies. A software-defined approach to enterprise storage has begun to infiltrate the enterprise data center as well.

Posted June 25, 2015

Numerous studies over the past few years characterize generally poor performance in the success rate of business intelligence projects. Now is the time to move business intelligence practices into the 21st century, or risk a continued cycle of overspending and underperformance. Here are five new strategies to improve alignment between unique problem characteristics and specific strengths.

Posted June 25, 2015

If a data center fails, so could the business. It is hardly surprising then, to see the results of a recent survey which named the top management issue as availability. To allay this concern, and to meet customer expectations of an always-available data center, operators are deploying technologies that marry availability with optimized efficiency. Central to this outcome are database and software integrations.

Posted June 25, 2015

An ever increasing number organizations are implementing DevOps using continuous delivery process. They are fueled by reports of the benefits, which include quicker time to market, reduced costs and higher quality products. DevOps is mostly about organizational culture, while continuous delivery and continuous integrations are mainly about automation and tests, which of course require a trustworthy source control.

Posted June 09, 2015

Rackspace is launching a dedicated option for MongoDB customers called ObjectRocket for MongoDB databases. The solution, which combines the speed and scalability of the ObjectRocket platform with dedicated hardware and networking for compliance-dependent use cases is aimed at providing the the performance, security and compliance required in high-risk industries such as healthcare, financial services and insurance. "Today we're announcing a fully dedicated cabinet solution to provide a high level of isolation for our customers," said Chris Lalonde, co-founder of ObjectRocket. "On top of that, we are also announcing an on disk encryption for MongoDB."

Posted June 09, 2015

While the influx of data provides many benefits to an organization, it can come with some challenges as well. The cost and lack of elasticity due to the volume and multiple data sources have become difficult issues for businesses to deal with.

Posted June 09, 2015

One day, corporations awoke to the fact that having data was not the same thing as having believable data. They awoke to discover the meaning of "data integrity." That was the day the enterprise data warehouse (EDW) was born. With an EDW, corporations had the bedrock data on which to make important and trustworthy decisions. Prior to the EDW, corporations had plenty of data, but the data was not believable.

Posted June 09, 2015

Posted June 01, 2015

The world of information technology is often described as an ecosystem. And just like an ecosystem that exists in nature, IT is affected by internal and external factors. In this issue of Database Trends and Applications magazine, we introduce the third annual list of companies that matter in data, a reflection of the IT ecosystem as it exists now.

Posted June 01, 2015

New and emerging companies are taking aim at data management challenges to help customers get more value from their data. Here, DBTA showcases the approaches of 10 companies we think are worth watching.

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Posted June 01, 2015

Pages
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24

Sponsors