Apache Spark Programming with Databricks
- Offered byDatabricks
Apache Spark Programming with Databricks at Databricks Overview
Duration | 12 hours |
Total fee | ₹1.27 Lakh |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
Apache Spark Programming with Databricks at Databricks Highlights
- Earn a certificate after completion of course from Databricks
Apache Spark Programming with Databricks at Databricks Course details
Explore the fundamentals of Apache Spark and Delta Lake on Databricks
Learn the architectural components of Spark, the DataFrame and Structured Streaming APIs, and how Delta Lake can improve your data pipelines
Execute streaming queries to process streaming data and understand the advantages of using Delta Lake
This course is designed for data professionals who want to master Apache Spark in the context of the Databricks platform, an industry-leading environment for large-scale data analytics and machine learning
Participants will gain hands-on experience with Spark’s powerful distributed computing capabilities, leveraging Databricks to streamline development, deployment, and collaboration
The course covers both fundamental and advanced aspects of Spark programming, equipping you with the skills to tackle complex data challenges and optimize performance
Class Schedule
10 AM - 02 PM
Apache Spark Programming with Databricks at Databricks Curriculum
Day 1
Spark overview
Databricks platform overview
SparkSQL
DataFrame reader, writer, transformation, and aggregation
Datetimes
Complex types
Day 2
User-defined functions (UDFs) and vectorized UDFs
Spark internals
Query optimization
Partitioning
Streaming API
Delta Lake
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