Transactional System Vs Analytical System: A Comparative Study 🚀In the world of data, understanding the difference between Transactional and Analytical Systems is crucial. Let’s dive into each of these…3d ago3d ago
File Compression Techniques in Apache SparkIn the world of Big Data, managing storage space and reducing I/O costs are crucial for efficient data processing. One of the ways to…Dec 16Dec 16
Schema Evolution in Apache SparkSchema evolution is particularly important in Big Data systems where data is often stored in a schema-on-read format like Parquet or Avro…Dec 10Dec 10
Compression Techniques in Apache SparkApache Spark supports several light-weight compression techniques that can significantly reduce the size of your data, making it faster and…Dec 4Dec 4
Specialized File Formats for Big Data DomainIn the realm of Big Data, the choice of file format is a critical decision that can significantly influence the performance of data…Dec 1Dec 1
Different File Formats in Big DataWhen designing a solution architecture for big data, how data is stored in the backend is a crucial consideration. Two important factors…Dec 1Dec 1
Catalyst Optimizer in Apache SparkApache Spark’s Catalyst Optimizer is a powerful component that enhances the performance of Spark applications by optimizing the execution…Dec 1Dec 1
Apache Spark Logical and Physical PlanIn Apache Spark, the process of executing a query involves several steps, from parsing the query to generating a physical plan for…Oct 28Oct 28
Sort Aggregate Vs Hash Aggregate in Apache SparkIn Apache Spark, aggregation is a common operation that combines multiple rows into a single row. There are two main types of aggregation…Oct 281Oct 281
Memory Management in Apache SparkApache Spark’s memory management plays a crucial role in the performance and efficiency of Spark applications. Properly managing memory…Oct 28Oct 28
