Big Data & Data Platforms Training Malta

Participants should have solid Python or Scala programming skills and intermediate SQL proficiency. Prior experience with data pipelines or data engineering concepts is helpful but not required. We assume no prior Spark, Databricks, or Kafka experience and build these skills from foundational concepts through hands-on practice.

No, we provision all training infrastructure including Databricks workspaces and Spark clusters. Training environments are pre-configured with datasets and appropriate compute resources. For Malta organisations with existing Databricks or Spark environments, we can optionally deliver training on your platform.

Data engineering training covers foundational skills including SQL, Airflow, dbt, and cloud basics. Big data training focuses specifically on distributed processing at scale with Spark, Databricks, Kafka, and platform architecture patterns. Many Malta teams complete data engineering training first, then progress to big data for advanced capabilities.

Absolutely. We offer focused tracks covering individual platforms. A Databricks-only programme covers the complete platform including Delta Lake, Unity Catalog, and workflows. A Spark-only programme covers the engine deeply. Focused tracks typically run two to three days each.

Yes, stream processing is a core training module covering Apache Kafka fundamentals, Spark Structured Streaming, and event-driven architecture design. Participants build real-time pipelines that ingest, process, and serve streaming data, gaining practical experience with the latency, ordering, and exactly-once challenges of real-time processing.

Comprehensive big data training covering Spark, Databricks, Kafka, and architecture patterns runs five to seven days. Individual platform tracks run two to three days each. We recommend spreading sessions over two to three weeks for Malta teams to allow practice and reflection between modules.

Yes, we customise exercises to reflect your data scale and processing patterns. If your Malta organisation processes millions of events daily, exercises simulate that scale. We address your specific performance challenges, optimisation requirements, and architectural questions during training.

Participants receive Neural AI Big Data Engineering certification documenting competencies in distributed processing, specific platforms covered, and architecture patterns. We also prepare participants for Databricks certifications and cloud vendor big data certifications if desired.