Big Data Solutions and Services Overview

This document is a guide that outlines various aspects of Big Data technologies and services. It begins by defining Big Data and its significance in handling large volumes of data that traditional systems cannot manage effectively. The guide explains the process of building a data lake as the first step in implementing a Big Data solution, followed by the application of advanced statistics and machine learning algorithms to leverage the computing power of Big Data clusters. It highlights Apache Hadoop as a popular platform for Big Data, detailing its compatibility with tools like Apache Spark, HBase, and Hive. The document also presents model situations where Big Data solutions are necessary, such as processing large data volumes, enhancing BI system performance, and analyzing unstructured data. Additionally, it describes Profinit's Big Data services, including consultations, infrastructure design, cluster administration, and support for building internal Big Data competence.