Building the Data Lakehouse

Building the Data Lakehouse

The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today's complex and ever-changing analytics, machine learning, and data science requirements. Learn about the features and architecture of the data lakehouse, along with its powerful analytical infrastructure. Appreciate how the universal common connector blends structured, textual, analog, and IoT data. Maintain the lakehouse for future generations through Data Lakehouse Housekeeping and Data Future-proofing. Know how to incorporate the lakehouse into an existing data governance strategy. Incorporate data catalogs, data lineage tools, and open source software into your architecture to ensure your data scientists, analysts, and end users live happily ever after. Bill Inmon, the "father of the data warehouse," has written 60 books published in nine languages. ComputerWorld named Bill one of the ten most influential people in the history of the computer profession. Bill's latest adventure is the building of technology known as textual disambiguation. Ranjeet is a Data Management professional and an Enterprise Architect with more than 20 years in enterprise product Research, Development, and Design of data-intensive mission-critical applications. He is honorary Managing Director of Forest Rim Technology and Chief Architect at Coforge. He enjoys knowledge sharing and innovative design thinking. Mary Levins is the owner of Sierra Creek Consulting, a data strategy and data management company focused on bringing value through data. Mary's interests and expertise are in innovative and advanced technology solutions that bring good through data for others and the world. She is based in the Atlanta, Georgia area.