What are optimized solutions for moving on-premise Hadoop data

[Phani1]

Hi Team ,

What are optimized solutions for moving on-premise Hadoop/hadoop distributed file system  parquet data to Databricks  as Delta file?

Regards,

Phanindra

[Kaniz]

Hi @Phani1, Migrating data from on-premises Hadoop to Databricks as Delta files involves several key steps.

Let’s break it down:

1. Administration:

   • In Hadoop, you’re dealing with a monolithic distributed storage and computing platform. It consists of multiple nodes with their own storage, CPU, and memory. Resource management is done via YARN, and there’s a Hive metastore for structured information.
   • In Databricks, you work with multiple clusters, each serving specific use cases or projects. These clusters are ephemeral and can be spun up as needed¹.

2. Data Migration:

   • Use tools like Apache Sqoop or DistCp to transfer data from HDFS (Hadoop Distributed File System) to Databricks. Sqoop is specifically designed for moving data between Hadoop and relational databases, while DistCp is more general-purpose.
   • Consider using Delta Live Tables (DLT) in Databricks, which enables near real-time data movement. DLT simplifies the process of ingesting data into Delta tables².

3. Data Processing:

   • Leverage Databricks’ powerful data processing capabilities. Databricks Notebooks allow you to write and execute code in languages like Python, Scala, or SQL.
   • Utilize Databricks’ Delta Lake, which provides ACID transactions, schema enforcement, and time travel capabilities. Delta Lake seamlessly integrates with Databricks notebooks and allows you to work with Delta tables¹.

4. Security and Governance:

   • Define access controls and security policies in Databricks. Use Databricks Access Control Lists (ACLs) to manage permissions.
   • Implement data lineage tracking and auditing using Databricks’ built-in features.
   • Ensure compliance with data privacy regulations and best practices¹.

5. SQL and BI Layer:

   • Databricks supports SQL queries directly on Delta tables. You can use Databricks Notebooks or connect external BI tools (e.g., Tableau, Power BI) to query your data.
   • Optimize your queries by leveraging Databricks’ query optimization and caching mechanisms¹.

Remember that migrating from Hadoop to Databricks is not just a technical decision; it’s a strategic move that can unlock new data-driven innovations. For detailed guidance and code examples, refer to the Hadoop to Databricks Technical Migration guide¹. Happy migrating! 🚀