Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
How to effectively manage data in HDFS and create MapReduce tasks.
How to process and analyze data using Hive and Pig.
How to optimize MapReduce tasks and manage Hadoop resources.
How to deploy and monitor Hadoop applications in a production environment.
What we actually do
- · Overview of main Hadoop components: HDFS, MapReduce, YARN
- · Interaction between components
- · Managing files in HDFS
- · Creating and running basic MapReduce tasks
- · Hive: table structure and SQL queries
- · Analyzing file structure for Hive
- · Pig: introduction to Pig Latin scripts
- · Implementing a simple MapReduce task
- · Analyzing results and optimizing the task
- · Writing advanced Hive queries
- · Creating complex Pig scripts
- · Techniques for optimizing MapReduce tasks
- · Managing resources in a Hadoop cluster
- · Implementing Hive queries on real datasets
- · Creating Pig scripts for data processing
- · Preparing and deploying Hadoop applications
- · Monitoring and managing Hadoop clusters in production
- · Controlling and optimizing costs associated with Hadoop data processing
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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