Big Data Hadoop Bootcamp

  What is Big Data Hadoop? IsIt Easy To Learn? Data has grown enormously in the past few years, making it impossible for traditional storage systems to manage it. Hadoop is the first choice for organizations that look for inexpensive and efficient ways to store and process large data sets. Developed by Michale J. and Doug Cutting, it is a Java-based, open-source framework that stores and processes data in a distributed environment. Instead of using a single system, Hadoop uses multiple systems that work in parallel, allowing faster storage and retrieval of data as well as concurrent processing. It is currently managed by the Apache software foundation and comes under the Apache license 2.0 Hadoop. Companies of all sizes are using it to make better business decisions. Learning Hadoop is not very difficult. However, to know how it works, you need to have a grip on its architecture. Let me take you through the Hadoop architecture to help you understand it. Hadoop architectur...

  Benefits Of DimensionalModels for Hadoop and Big Data   Dimensional modeling has gone through a disruptive technological change in the past few years. Many people question its relevance in the age of Hadoop and big data. It’s an impression that it is an old-fashioned technique. But even after recent upheavals in technology, it is a relevant practice. What Is Dimensional Modeling? Dimensional Modeling (DM) is a data structure technique developed by Ralph Kimbell. It includes a set of techniques, methods, and concepts for use in the data warehouse. It is used to optimize the database for quick data retrieval and consists of dimension and fact tables. A dimensional model in the data warehouse is designed to summarize, read, and analyze numeric information like counts, balances, values, weights, etc., in a data warehouse. On the other hand, the relation model is optimized for updating, adding, and deleting data in a real-time Online Transaction System. These models...