Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
How to install and configure Apache Spark in various environments.
How to process and analyze data using RDDs, DataFrames, and Spark SQL.
How to optimize queries and manage resources in Apache Spark.
How to deploy Apache Spark applications in a production environment.
What we actually do
- · History and development of Apache Spark
- · Architecture and main components (RDD, DataFrame, Spark SQL)
- · Installing Apache Spark and dependencies
- · Configuring the working environment (Standalone, Hadoop, AWS)
- · Working with files: JSON, CSV, XML, TXT, Parquet, AVRO
- · Transformations and Actions (lazy evaluation)
- · Creating and managing DataFrames
- · Querying large datasets with Spark SQL
- · Sorting, grouping, and filtering data
- · Transformations using map, flatMap, and UDF functions
- · Window and analytical functions
- · Implementing operations on DataFrames and SQL queries
- · Analyzing large datasets using Spark SQL
- · Query optimization and Spark performance techniques
- · Memory management and resource allocation
- · Partitioning and efficient data writing
- · Preparing and exporting Spark applications
- · Deploying applications in production environments
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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