What's in store | November2021
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The Cloudera Data Platform (CDP) migration is coming up, since next March 2022 will see the end of life for CDH and HDP.
Are you ready to face this challenge?
Migrating to CDP is not a standard process, the execution plan is heavily dependent on the procedure and the scenarios you’re interested in and it differs based on the infrastructure you want to migrate.
Such a key transition requests strong skills and knowledge.
If you'd like to learn more, visit our website. You will have the chance to:
- test your team's skills
- make an assessment of your infrastructure
- attend a dedicated webinar
IT'S TIME TO ACT!
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How to identify Data Products? Welcome "Data Products Flow"
A “must-read” article by Paolo Platter, CTO at Agile Lab, for those interested in data products and for organizations addressing their Data Mesh journey.
YOU CAN'T MISS IT. READ NOW!
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After being named "Growth Champion 2022" by the German Institute of Quality and Finance (ITQF) and La Repubblica Affari & Finanza, this month Agile Lab has been awarded, for the second year in a row, "Growth Leader 2022" by Statista and Il Sole 24 Ore.
CLICK TO READ THE FULL RANKING
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Join us, at our next free webinar, in partnership with Cloudera, to know "The right path for a successful Cloudera Data Platform (CDP) migration".
During the event, Fabrizio Marini, Solutions Engineer at Cloudera, and Andrea Mallegni, Sales Engineer at Cloudera, will explore the opportunities and the breaking changes that have to be driven during the shift from HDP/CDH to the CDP and Lorenzo Pirazzini, Big Data Engineer at Agile Lab will go deep, focusing on how a company should structure its CDP migration to have a successful transition.
Don't miss it!
REGISTER NOW!
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Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice.
This book shows you why and how.
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