2020 has proven that organizations will need to quickly adapt to dynamic shifts on the volume and the velocity of data coming from “new normal” conditions and new data sources. Cloud data migration, real-time machine data ingestion, and other top trends initiated in the 2010s are likely to go through a period of rapid expansion in the 2020s.
Is your current data ingestion architecture ready for the challenges and opportunities ahead?
Paige Bartley, Senior Analyst at 451 Research, part of S&P Global Market Intelligence, and Nir Livneh, CEO and Founder of Equalum, discussed how to build your next-generation data ingestion systems.
Key topics included:
Paige Bartley, Senior Analyst at 451 Research
Paige is a Senior Analyst for the Data, AI and Analytics channel at 451 Research, covering data management, including data integration, data governance, data quality and master data management. She has experience covering a broad range of information management technologies spanning database functionality and self-service analytics to regulatory policy and compliance. In her current areas of research, Paige is analyzing the need for information governance to maximize the value of enterprise data in the midst of proliferating global regulatory requirements. Prior to working at 451 Research, she was a Senior Analyst at Ovum. Paige received her Bachelor of Science degree in psychology and neuroscience from Duke University, and a Master of Management Studies (MMS) degree from the Duke University Fuqua School of Business.
Nir Livneh, Founder & CEO, Equalum
Nir is a thought leader with over 20 years of experience in Big Data architecture and performance. He led product management at Quest Software (Acquired by Dell) for all Big Data products. Nir also led Big Data architecture projects at the Israeli Military Intelligence unit (Equivalent to NSA). He is currently a member of the Forbes Technology Council.