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2021 | ISBN: 198464694X | English | 296 pages | True PDF | 11 MB [/center]
Data Analysis is an ever-evolving discipline with a strong focus on new predictive modeling techniques coupled with rich analytical tools that continue to expand our capacity to handle big data. However, in order to chart a coherent path forward, it is necessary to understand where the discipline has come from since its inception. Analytical databases are modified databases in which every aspect is optimized for analytical purposes. This optimization ensures faster query execution and enables the database to scale easily. An analytical database is always expanding, and it expands more than any other type of database available. In short, analytical databases help in the easy management of data volume and variety, enable efficient processing of complex queries, support better handling of mixed workloads, and offer improved performance and scalability. This leads to better technical analysis and informed business decisions that are likely to drive continuous business growth. The field of business intelligence depends largely on data analysis tools and techniques to support effective decision-making. Therefore, we begin our introduction by examining the history of business intelligence, its relationship to data analysis, and why the two are essential to help businesses assemble a complete picture of their 'data puzzle'. This book addresses some of the challenges businesses face when dealing with data overload and suggests possible solutions to the problem.
The book is comprised of seven chapters. You will learn to use data analytics to create actionable recommendations and identify opportunities where data-based decisions can transform the way you do business. This book presents an introduction to the concepts of data analysis, the role of a Data Analyst, and the tools used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. You will then learn the soft skills required to effectively communicate your data to stakeholders, and how mastering these skills can enable you to become a data-driven decision maker.
2021 | ISBN: 198464694X | English | 296 pages | True PDF | 11 MB [/center]
Data Analysis is an ever-evolving discipline with a strong focus on new predictive modeling techniques coupled with rich analytical tools that continue to expand our capacity to handle big data. However, in order to chart a coherent path forward, it is necessary to understand where the discipline has come from since its inception. Analytical databases are modified databases in which every aspect is optimized for analytical purposes. This optimization ensures faster query execution and enables the database to scale easily. An analytical database is always expanding, and it expands more than any other type of database available. In short, analytical databases help in the easy management of data volume and variety, enable efficient processing of complex queries, support better handling of mixed workloads, and offer improved performance and scalability. This leads to better technical analysis and informed business decisions that are likely to drive continuous business growth. The field of business intelligence depends largely on data analysis tools and techniques to support effective decision-making. Therefore, we begin our introduction by examining the history of business intelligence, its relationship to data analysis, and why the two are essential to help businesses assemble a complete picture of their 'data puzzle'. This book addresses some of the challenges businesses face when dealing with data overload and suggests possible solutions to the problem.
The book is comprised of seven chapters. You will learn to use data analytics to create actionable recommendations and identify opportunities where data-based decisions can transform the way you do business. This book presents an introduction to the concepts of data analysis, the role of a Data Analyst, and the tools used to perform daily functions. You will gain an understanding of the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. You will then learn the soft skills required to effectively communicate your data to stakeholders, and how mastering these skills can enable you to become a data-driven decision maker.
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https://nitroflare.com/view/2182D4C2B1AA...lytics.pdf