Delta Lake: Up and Running, 9781098139728
Paperback
Reliable data lakes unlock insights with Delta Lake’s power.

Delta Lake: Up and Running

modern data lakehouse architectures with delta lake

$124.36

  • Paperback

    250 pages

  • Release Date

    2 January 2024

Check Delivery Options

Summary

Unlock the Power of Your Data Lake with Delta Lake

With the rapid growth of big data and AI, organizations are quickly building data products and solutions in an ad-hoc manner. But as these data organizations mature, it’s apparent that their analysis and machine learning models are only as reliable as the data they’re built upon. The solution? Delta Lake, an open-source format that enables building a lakehouse architecture on top of existing storage systems such as S3, ADLS, and GCS…

Book Details

ISBN-13:9781098139728
ISBN-10:1098139720
Author:Bennie Haelen, Dan Davis
Publisher:O'Reilly Media
Imprint:O'Reilly Media
Format:Paperback
Number of Pages:250
Release Date:2 January 2024
Weight:474g
Dimensions:233mm x 178mm
About The Author

Bennie Haelen

Bennie is a principal architect with Insight Digital Innovation-a Microsoft and Databricks partner. As Principal architect with Insight, Bennie’s primary focus areas are Modern Data Warehousing, Machine learning, AI, and IoT on various commercial cloud platforms. Bennie has overseen many Data + AI projects in different application domains such as health care, the public sector, oil & gas, and financial applications. Bennie has architected and delivered real time streaming Data Lakehouse applications with Databricks, Spark Structured Streaming, Delta Lake, and Microsoft Power BI for various application domains. Bennie brings a wealth of practical experience in implementing secure, enterprise-scale Data Lakehouse-based solutions to support business intelligence, data science and machine learning. Bennie has also been a frequent speaker at Databricks events at Microsoft Technology Centers around the country, and was a speaker at the Data+AI 2021 summit.

Dan Davis is a Cloud Data Architect with a decade of experience delivering analytic insights and business value from data. Using modern tools and technologies, Dan specializes in designing and delivering data platforms, frameworks, and process’ to support data integration and analytics for on-premises, hybrid, and cloud environments on an enterprise scale.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.