Journey to the Cloud, Self-Service BI, and Data Lakes with Data Virtualization

• The top ten strategic data and analytics technology trends and what they enable. How these trends enable you to build an intelligent and emergent data and analytics portfolio of capabilities that scale to the needs of digital business. Why these trends are growing and having an impact now. How these trends will change your organization, data and analytics program and skills needed. Strategic technology trends have significant disruptive potential over the next 5 years. You must examine your business impacts of these trends and appropriately adjust investments, business models and operations or else your company is at risk of losing competitive advantage to those who do. Data and analytics leaders cannot afford to ignore these 2019 top data and analytics trends.

Learn how a modern data warehouse increases data accessibility and provides seamless data analytics for Petabyte scale data.

Most companies know that data science and machine learning can have a profound impact on their business, but they often struggle on where to start and how to augment their existing analytics solutions with advanced analytics. Check out this webinar to learn more about data science and machine learning it is not as hard as you may think to get started; and once you do, you will see immediate business value.

Data pipelines facilitate information flows and data exchange for a growing number of operational scenarios, including data extraction, transformation, and loading ETL into data warehouses and data marts, data migrations, production of BI reports, and application interoperability. When data engineers develop data pipelines, they may devise a collection of tests to guide the development process, but ongoing tests are not often put in place once those pipelines are put into production.