As businesses continue to generate more data, it becomes increasingly important for companies to understand how they can use analytics to derive value from that information. Big Data is a hot topic these days and everyone seems to be asking how businesses can leverage...
In Simple words, ETL stands for “Extract, Transform, and Load.” To consolidate data from various sources into a single, centralized database in the context of data warehousing, the first step is to: EXTRACT data from its original source TRANSFORM data by...
As data continues to grow in volume and diversity, it’s important to have efficient and flexible ways to store and analyze it. Apache Parquet is a columnar storage format designed for big data processing frameworks like Apache Hadoop and Apache Spark. Apache...
