Tutorial
Feature store - managing multiple data sources with Feast
As the effort to productionize ML workflows is growing, feature stores are also growing in importance. Their job is to provide standardized and up-to…
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2 min read
Running Spark on Amazon Web Services (AWS)
When you search thought the net looking for methods of running Apache Spark on AWS infrastructure you are most likely to be redirected to the documentation of AWS EMR (Elastic Map Reduce) service, which is Amazon's Hadoop distribution suited to run in AWS cloud environment. It's quite an easy way to deploy your data pipelines, but sometimes bootstrapping a huge cluster to perform simple ad-hoc analysis it's a cumbersome task. They say:
"to a man with a hammer everything looks like a nail" :)
and we felt into this trap with EMR once.
The article below describes two other ways of running Apache Spark jobs on AWS-managed infrastructure - AWS Glue and AWS Fargate - that we use on our clients' data warehousing projects. You will find there the key differences between these methods when it comes to flexibility and pricing, showing why there is no place for "one service fits all" approach in AWS world.
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18 December 2019
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Big Data Event
A Review of the Presentations at the Big Data Technology Warsaw Summit 2023
It has been almost a month since the 9th edition of the Big Data Technology Warsaw Summit. We were thrilled to have the opportunity to organize an…
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Apache Spark with Apache Iceberg - a way to boost your data pipeline performance and safety
SQL language was invented in 1970 and has powered databases for decades. It allows you not only to query the data, but also to modify it easily on the…
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Big Data Tech Warsaw Summit 2019 summary
It’s been already more than a month after Big Data Tech Warsaw Summit 2019, but it’s spirit is still among us — that’s why we’ve decided to prolong it…
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Deploying secure MLflow on AWS
One of the core features of an MLOps platform is the capability of tracking and recording experiments, which can then be shared and compared. It also…
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Extracting Flink Flame Graph data for offline analysis
Introduction - what are Flame Graphs? In Developer life there is a moment when the application that we create does not work as efficiently as we would…
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