X-Europe Data Science Webinars

Data and Analytics for All!: Separation of Data Tier and Zero Copy Powered by Apache Arrow & Flight and Dremio

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Viktor Kessler is Senior Solutions Architect at Dremio and a ex-MongoDB Senior Solutions Architect.

In an effort to be data driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.

• How “no data copy” approach dramatically streamlines data workflows while reducing security and governance overhead
• Why agile development concepts, when applied to the data tier, can dramatically increase data engineering agility
• How to separate compute and data by preserving data in open file and table formats
• How a next-generation cloud data lake architecture brings together the best attributes of data warehouse and data lakes to truly democratize data


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