Irina Farooq, Director, Product Management, Google Cloud & Nathan McAfee, Economic Analyst, ESG
Data is growing at an explosive rate, both in the velocity of new data creation and the constant addition of new data types and sources. This rapid change in stored data forces organizations to focus on the core fundamentals of data security and cost, too often ignoring the inefficiencies experienced when trying to use the data to enable future revenue. The result is an unrealized value stored in secondary data. Many have adopted on-prem Apache Hadoop to store and process this data along with Apache Spark. While these solutions provide the base functionality needed, they quickly become limiting. In this session, learn how organizations can increase the value of insights queried in data while lowering costs and complexity by deploying Google Cloud Dataproc.
Join this webinar to hear:
- Top challenges that companies are facing when setting their data lake strategy
- How companies are realizing economic efficiencies by moving off-prem
- How having a flexible foundation allows companies to innovate faster and enables future data science workflows