How Skai leverages Snowflake to move faster

Feb 22, 2022 · Tel Aviv-Yafo, Israel

Skai's challenges in developing and operating a data platform at scale.

Skai's data platform ingests on a daily basis data from over 200,000 tables distributed over 650 servers, microservices and SaaS applications. Managing more than 2PB of data.

We will talk about the bottlenecks of managing this kind of a data platform on Hadoop and the reasons why we looked for a better technology.

We will deep dive into how to manage a migration project of this magnitude in a live and continuously growing platform without lowering SLA.

We will wrap up with what we have gained so far and how Snowflake helps us move faster.

Lecturer: Pablo Roth - Senior Data Engineer at Skai
Pablo has vast experience in BI / Big Data world with more than 11 years of experience in data management, data pipeline, data models and data visualization. He has a deep understanding of business processes in various industries especially ad-tech. Pablo joined Skai a few years ago as a Senior Data Engineer in the BI team.

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  • Big Data Demystified

    A while ago I entered the challenging world of Big Data. As an engineer, at first, I was not so impressed with this field. As time went by, I realised more and more, The technological challenges in this area are too great to master by one person. Just look at the picture in this articles, it only covers a small fraction of the technologies in the Big Data industry… Consequently, I created a meetup detailing all the challenges of Big Data, especially in the world of cloud. I am using AWS & GCP and Data

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