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Showing posts from January, 2025

How to Configure a Databricks Cluster to Process 10 TB of Data Efficiently

How to Configure a Databricks Cluster to Process 10 TB of Data Efficiently ๐Ÿš€ Sizing a Databricks Cluster for 10 TB: A Step-by-Step Optimization Guide Processing 10 TB of data in Databricks may sound intimidating, but with a smart cluster sizing strategy, it can be both fast and cost-effective . In this post, we’ll walk through how to determine the right number of partitions, nodes, executors, and memory to optimize Spark performance for large-scale workloads. ๐Ÿ“Œ Step 1: Estimate the Number of Partitions To unlock Spark’s parallelism, data must be split into manageable partitions . Data Volume: 10 TB = 10,240 GB Target Partition Size: ~128 MB (0.128 GB) Formula: 10,240 / 0.128 = ~80,000 partitions ๐Ÿ’ก Tip: Use file formats like Parquet or Delta Lake to ensure partitions are splittable. ๐Ÿ“Œ Step 2: Determine Number of Nodes Assuming each node handles 100–200 partitions effectively: Without overhead: 80,000 / 100–200 = 400 to 800...

Datawarehouse Vs Datalake

  Data Warehouse :   A data warehouse is a centralized repository that stores structured and processed data from various sources. It's optimized for querying and analysis, typically using a schema-on-write approach, where data is structured and organized before being loaded into the warehouse. Data warehouses are designed for supporting business intelligence (BI) and analytics applications, providing fast and reliable access to historical data. Q.  How do data lakes differ from data warehouses, and what are their primary characteristics? Unlike data warehouses, data lakes store raw, unstructured, or semi-structured data in its native format. They use a schema-on-read approach, where data is ingested without prior structuring, allowing for flexible exploration and analysis.  Data lakes are designed to store vast amounts of data at a low cost and support a wide range of data processing and analytics use cases, including data exploration, machine learning, and advanced...