Don’t Get Drowned In Your Data Lake

Is there such a thing as too much data? Data Lakes, Data Farms, Data Mines and Data Warehouses…what do they all mean? Learn what tasks and roles are involved in managing and analyzing data. Learn the most common mistakes that organizations are making and how to avoid them. Learn the terminology, processes, and best practices for turning business intelligence into business strategy and business solutions.Learning Objectives / Key Benefits:- Understand the difference between a Data Lake, Data Farm, Data Mine, and Data Warehouse- Data Lake vs Data Warehouse- Data Farming vs Data MiningLearn How to Effectively Use Data- Identify Trends and Patterns- Turn Raw Data Into Business IntelligenceLearn Best Practices- Turn Business Intelligence into Solutions- How To Avoid Common MistakesData-driven Decision Making is not easy. This book will introduce you to Data Analytics and its role in business decisions. You’ll learn why data is important and how it has evolved. You’ll be introduced to “Big Data” and how it is used. You’ll also be introduced to a frameworks and techniques for conducting Data Analysis and what tools are commonly used.