Tutorial
Data online generation for event stream processing
In a lot of business cases that we solve at Getindata when working with our clients, we need to analyze sessions: a series of related events of actors…
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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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Tutorial
Data skew in Flink SQL
Data processing in real-time has become crucial for businesses, and Apache Flink, with its powerful stream processing capabilities, is at the…
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Logs analytics at scale in the cloud with Loki
Logs can provide a lot of useful information about the environment and status of the application and should be part of our monitoring stack. We'll…
Read moreGetInData Join Forces With Xebia
The partnership empowers both to meet the growing global demand Xebia, the company at the forefront of digital transformation, today proudly announced…
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Data Quality Rules: enforcing reliability of datasets. Data Quality Assurance using AWS Glue DataBrew
In today's data-driven world, maintaining the quality and integrity of your data is paramount. Ensuring that organizations' datasets are accurate…
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Airflow in a multi-teams / multi-tenant environment. Deployment strategies
This article explores using Airflow 2 in environments with multiple teams (tenants) and concludes with a brief overview of out-of-the-box features to…
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