| | | | | | | | |  | | | | Top Story |  |  | | |  | | | | | | | Microsoft first truly disrupted the ETL marketplace with the introduction of SQL Server Integration Services (SSIS) back with the release of SQL Server 2005. Microsoft has upped the ante yet again by bringing to market powerful ETL features via the Azure Data Factory, which enables IT shops to integrate a multitude of data sources, both on-premises and in the cloud, via a workflow (called a "pipeline) that utilizes Hive, Pig, and customized C# programs. | | | | Read Full Story | | | | | | | | MUST HAVE DOWNLOADS | | | | | | FIVE WAYS TOAD XPERT EDITION CAN HELP YOU WRITE BETTER CODE
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TOP 5 BIG DATA INTEGRATION MISTAKES TO AVOID | | | | | | | News, Columns & Features | |  | | | | | | | SAFe Provides a Recipe for Agile at Enterprise Scale | | | Few of us working in the software industry would dispute that agile methodologies represent a superior approach to older waterfall-style development methods. However, many software developers would agree that older enterprise-level processes often interact poorly with the agile methodology, and long for agility at the enterprise level. The Scaled Agile Framework (SAFe) provides a recipe for adopting agile principles at the enterprise level.
| | | | Read Full Story | | | | | | | When IT Operations Became a (Bigger) Big Data Problem | | | The world of IT operations has always had a big data problem. Instrumentation of end users, servers, application components, logs, clickstreams, generated events and incidents, executed notifications and runbooks, CMDBs, Gantt charts—you name it, people in the IT operations area have had to cope with mountains of data. And yet the scope of the problem has been enlarged once again, thanks to industry-wide trends such as bring-your-own-device, the Internet of Things, microservices, cloud-native applications, and social/mobile interaction. How do we even know what the SLA is anymore? The answer has two parts.
| | | | Read Full Story | | | | | | | Overcoming MySQL Challenges | | | MySQL is a popular open source database and one of the top relational databases—and with good reason. It is an extremely feature-rich and powerful database platform. With all its positives, however, MySQL has a number of challenges that can limit its ability to perform with the agility and performance businesses increasingly require. Here's a quick look at how to optimize MySQL for your ever-changing environment.
| | | | Read Full Story | | | | | | | Database Models Lacking Veracity Also Lack Descriptive Value | | | When it comes to operational, third normal form approaches, too many database models today have very low levels of business veracity. This is because current IT trends work against incorporating too much truth inside the entity-relationship diagram. Instead, development teams center on the finished product and excessively worry about describing a solution rather than describing the actual organization.
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