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Can I read PRO DATA MASHUP FOR POWER BI : powering up with power query and the m language to find, load,... and transform data on EtoBox?
PRO DATA MASHUP FOR POWER BI : powering up with power query and the m language to find, load,... and transform data by Adam Aspin is a nonfiction available to read on EtoBox.
What is PRO DATA MASHUP FOR POWER BI : powering up with power query and the m language to find, load,... and transform data about?
This book provides all you need to find data from external sources and load and transform that data into Power BI where you can mine it for business insights and a competitive edge. This ranges from connecting to corporate databases such as Azure SQL and SQL Server to file-based data sources, and cloud- and web-based data sources. The book also explains the use of Direct Query and Live Connect to establish instant connections to databases and data warehouses and avoid loading data. The book provides detailed guidance on techniques for transforming inbound data into normalized data sets that are easy to query and analyze. This covers data cleansing, data modification, and standardization as well as merging source data into robust data structures that can feed into your data model. You will learn how to pivot and transpose data and extrapolate missing values as well as harness external programs such as R and Python into a Power Query data flow. You also will see how to handle errors in source data and extend basic data ingestion to create robust and parameterized data load and transformation processes. Everything in this book is aimed at helping you deliver compelling and interactive
Who reads PRO DATA MASHUP FOR POWER BI : powering up with power query and the m language to find, load,... and transform data?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Adam Aspin
- Publisher
- Apress L. P.
- Published
- 2022
- Language
- EN
- ISBN
- 9781484285787
- Category
- nonfiction
- Subjects
- Management, Computer Science, Mathematics
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