Big Data: A Tutorial-Based Approach

ISBN-13: 9780367670245 / Angielski / Miękka / 2020 / 202 str.

Nasir Raheem

Opis

This book explores the tools and techniques to bring about the marriage of structured and unstructured data.

Spis treści

Chapter 1: Introduction to Big Data

Chapter 2: Big Data Implementation

Chapter 3: Big Data Use Cases

Chapter 4: Big Data Migration

Chapter 5: Big Data Ingestion, Integration, and Management

Chapter 6: Big Data Repository

Chapter 7: Big Data Visualization

Chapter 8: Structured and Un-Structured Data Analytics

Chapter 9: Data Virtualization

Chapter 10: Cloud Computing

O autorze

Nasir Raheem is an accomplished, innovative, and results-driven project manager, architect and business analyst with over 20 years of wide-ranging experience encompassing I.T Infra-structure design, planning and implementation of highly integrated systems that included Big Data (HIVE) Database Administration, Business Re-engineering, Asset & Data management (ServiceNow), Data Integration, Data Modeling, Disaster Recovery and ERP Database /Application cloning projects. He is an experienced manager of IT projects related to multi-billion dollar corporate mergers, migration, server upgrades, database upgrades, data conversion, cloning and integration of supply chain management ERP and CRM application modules at Wells Fargo Bank, WebTV (now Microsoft) and Hitachi Global Storage Technologies (now Western Digital). He is also a published author and instructor of an online course approved by Harvard University Innovation Lab, ‘March towards Big Data.’