September 27, 2018

News Flashes

Today, data management environments are highly complex and often span multiple vendors with deployments across on-premise data centers, clouds, and hybrid installations. In addition to the heterogeneity of systems, the processes surrounding database development and management have also changed. DevOps, a methodology for data scientists, developers, database administrators (DBAs) and others to participate in an Agile workflow, puts a premium on speed and also means that DBAs do not wield the firm control they did in the past.

The big data landscape is constantly changing and the latest IOUG study is reflecting those changes as organizations continue to flock to the cloud, changing the role and mission of IT teams. DBTA recently held a webinar with Lee Levitt, director, business development, Oracle, who discussed how companies are navigating the change and capitalizing on the benefits cloud brings when it comes to data management and getting more out of analytics.

StreamSets, provider a DataOps platform for modern data integration, is upgrading its platform with innovations that help companies efficiently build and continuously operate dataflows. New capabilities include data drift handling for cloud data stores for improved pipeline resiliency, continuous integration and delivery (CI/CD) automation that brings DevOps-style agility to dataflow pipelines, and the ability to centrally manage in-stream data protection policies for security and compliance.

Trifacta, a provider of data preparation solutions, is partnering with Sumo Logic, a cloud-native machine data analytics platform, to form a joint integration that drives improved business intelligence.

Think About It

Our friends at CA Technologies recently shared some survey results with us: As application containerization adoption continues to rise, new types of challenges emerge. Despite their benefits, containerized application environments have created exponential complexity in cloud-based application management and monitoring. While Docker popularity is rising, more than 50% of organizations surveyed say their use of Docker container technology is "just getting started." Primary use cases at this time include app development and testing. And the business impact of Docker container performance is largely unmeasured today. More than half of executives (56%) said they are not monitoring Docker container performance problems for business impact yet.