Analyze Data Faster with an Open Source Columnar Database

Watch our webinar fast data delivery demo for a walkthrough, showing you how to leverage Accelario to increase DevOps velocity, while achieving data compliance and reducing storage costs.

Whether to take data ingestion cycles off the ETL tool and the Data Warehouse or to facilitate competitive Data Science and building algorithms in the organization, the Data Lake a place for unmodeled and vast data will be provisioned widely in 2019. Though it doesn’t have to be complicated, the Data Lake has a few key design points that are critical, and it does need to follow some principles for success. Avoid building the Data Swamp, but not the Data Lake! The tool ecosystem is building up around the Data Lake and soon many will have a robust Lake and Data Warehouse. We will discuss policy to keep them straight, send “horses to courses,” and keep up users’ confidence in the Data Platforms.

Do you have your Enterprise’s data privacy under control? Do you know what datasets are sensitive and who has access? Many companies are behind on privacy and regulatory compliance (GDPR, CCPA, etc.). Legacy tools and manual processes are inaccurate and error prone and can force you to choose between delaying data access by months, or increased compliance risk.

The world of data and analytics is evolving faster than ever before. Those that stay ahead of this change will be able to navigate the challenging economy and dominate the decade of data. Data is driving tectonic shifts across our personal and professional lives, creating new opportunities for organizations - and new challenges. But which trends are truly transformative and which will fail to live up to the hype?