Big Data Event
Review of presentations on the Big Data Technology Warsaw Summit 2020
It’s been exactly two months since the last edition of the Big Data Technology Warsaw Summit 2020, so we decided to share some great statistics with…
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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
GCP Workflows - how can you integrate a lightweight managed orchestrator in Modern Data Stack? GID Modern Data Platform
Modern Data Stack has been around for some time already. Both tools and integration patterns have become more mature and battle tested. We shared our…
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Apache NiFi and Apache NiFi Registry on Kubernetes
Apache NiFi is a popular, big data processing engine with graphical Web UI that provides non-programmers the ability to swiftly and codelessly create…
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Geospatial analytics on Hadoop
A few months ago I was working on a project with a lot of geospatial data. Data was stored in HDFS, easily accessible through Hive. One of the tasks…
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Cloud data warehouses: Snowflake vs BigQuery. What are the differences between the pricing models?
Companies planning to process data in the cloud face the difficulty of choosing the right data warehouse. Choosing the right solution is one of the…
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2022 Big Data Trends: Retail and eCommerce become one of the hottest sectors for AI/ML
Nowadays, we can see that AI/ML is visible everywhere, including advertising, healthcare, education, finance, automotive, public transport…
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