Data & Analytics Leadership and Vision for 2019

Key topics discussed during the webinar: *Data in Motion pitfalls and opportunities *Validating data doesn’t equate to slowing down your process *Comparing and contrasting approaches *The missing link in data governance explained

Fanatics, a popular sports apparel website and fan gear merchandiser, needed to ingest terabytes of data from multiple historical and streaming sources transactional, e-commerce, and back-office systems to a data lake on Amazon S3. Once ingested, the data would be analyzed to better identify, predict, and fulfill customer needs related to the products Fanatics offers in over 300 online and offline stores. To accomplish this, Fanatics chose Attunity Replicate, a software solution featuring continuous data capture (CDC) and parallel threading for streaming data in real time from multiple sources into a data lake on Amazon S3. The data can then be consumed in Apache Kafka for real-time analytics. Attunity helps Fanatics avoid the heavy lifting of manually extracting data from disparate sources and enables the organization to see results in real time.

Modern enterprises are struggling to gain insights from an exploding number of database management systems and ever-growing data volumes. SQL Server 2019 can help you overcome the challenges of integrating data and bring AI and machine learning to all of your data, structured and unstructured. It can also help you better manage your relational data right now. In this webinar, Introduction to SQL Server 2019, hear from Debbi Lyons, Senior Product Marketing Manager, Travis Wright, Principal Program Manager, and Bob Ward, Principal Architect at Microsoft discuss the latest updates and features for the new SQL Server release, including introducing the new big data cluster with intelligence over any data, how SQL Server 2019 enhances the developer experience, and using tools including Azure Data Studio.

Data, the life blood of today's economy, is an attractive target for cyber attackers. Learn how a self-securing database provides security and peace of mind without relying on manual, error-prone processes allowing you to focus on innovation and not damage control.