Big Data refers to vast volumes of data that exceed the capacity of traditional data processing systems. This data is collected from diverse sources, including social media, IoT devices, and transactional systems. The three critical characteristics of Big Data are:...

Introduction Apache Spark is an open-source computing framework engine that is used for analytics, graph processing, and machine learning. Spark has a real-time processing framework that processes large amount of data every day. Spark is used not only in IT companies,...

Introduction to Big Data Pipelines A Big Data pipeline is vital for organizations aiming to derive actionable insights from their vast data reserves. It consists of a continuous process that includes data collection, cleansing, storage, and enrichment. By efficiently...

RDD Transformations are lazy evaluation and is used to transform/update from one RDD into another. When executed on RDD, it results in a single or multiple new RDD. Since RDD are immutable in nature, transformations always create a new RDD without updating an existing...

Cloudera Data Platform (CDP) is a data cloud built for the enterprise. With CDP businesses manage and secure the end-to-end data lifecycle – collecting, enriching, analyzing, experimenting and predicting with their data – to drive actionable insights and data-driven...

Data science is a dynamic field that combines multiple disciplines to enhance decision-making. It begins with data collection, followed by cleansing and processing to ensure accuracy. This foundational step is crucial, as the quality of data directly impacts the...