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Between the Spreadsheets
Between the Spreadsheets
Knygos.lt klubas Knygos.lt nariams
89,52 €
-30%
Įprastai
127,89 €
  • Išsiųsime per 12–18 d.d.
A fully revised and updated edition, this book will guide the reader through topics such as what is dirty data, its consequences and importance in AI, the significance of data quality, and how to ensure and spot check data accuracy. Authored by a data expert, this book will guide the reader through an accurate and efficient process to classify and cleanse data of different types, such as financial data, material master data and address data, as well as demonstrate how to automate the process fo…
  • Leidėjas:
  • ISBN-10: 1783307846
  • ISBN-13: 9781783307845
  • Formatas: 15.3 x 23.1 x 1.3 cm, minkšti viršeliai
  • Kalba: Anglų

Between the Spreadsheets (el. knyga) (skaityta knyga) | Susan Walsh | knygos.lt

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A fully revised and updated edition, this book will guide the reader through topics such as what is dirty data, its consequences and importance in AI, the significance of data quality, and how to ensure and spot check data accuracy. Authored by a data expert, this book will guide the reader through an accurate and efficient process to classify and cleanse data of different types, such as financial data, material master data and address data, as well as demonstrate how to automate the process for data refreshes, all using Excel. In this new edition, new topics are tackled particularly around GenAI and real-life examples.

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  • Autorius: Susan Walsh
  • Leidėjas:
  • ISBN-10: 1783307846
  • ISBN-13: 9781783307845
  • Formatas: 15.3 x 23.1 x 1.3 cm, minkšti viršeliai
  • Kalba: Anglų

A fully revised and updated edition, this book will guide the reader through topics such as what is dirty data, its consequences and importance in AI, the significance of data quality, and how to ensure and spot check data accuracy. Authored by a data expert, this book will guide the reader through an accurate and efficient process to classify and cleanse data of different types, such as financial data, material master data and address data, as well as demonstrate how to automate the process for data refreshes, all using Excel. In this new edition, new topics are tackled particularly around GenAI and real-life examples.

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