9781492062417 - 97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts by Macey, Tobias (25 results)

Condition: New.

Condition: NEW.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. In.

Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 526.

Paperback. Condition: New. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.Topics include:The Importance of Data Lineage - Julien Le DemData Security for Data Engineers - Katharine JarmulThe Two Types of Data Engineering and Data Engineers - Jesse AndersonSix Dimensions for Picking an Analytical Data Warehouse - Gleb MezhanskiyThe End of ETL as We Know It - Paul SingmanBuilding a Career as a Data Engineer - Vijay KiranModern Metadata for the Modern Data Stack - Prukalpa SankarYour Data Tests Failed! Now What? - Sam Bail.

Paperback or Softback. Condition: New. 97 Things Every Data Engineer Should Know: Collective Wisdom from the Experts 0.79. Book.

Paperback. Condition: New. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.Topics include:The Importance of Data Lineage - Julien Le DemData Security for Data Engineers - Katharine JarmulThe Two Types of Data Engineering and Data Engineers - Jesse AndersonSix Dimensions for Picking an Analytical Data Warehouse - Gleb MezhanskiyThe End of ETL as We Know It - Paul SingmanBuilding a Career as a Data Engineer - Vijay KiranModern Metadata for the Modern Data Stack - Prukalpa SankarYour Data Tests Failed! Now What? - Sam Bail.

Condition: New.

Condition: New. 2021. Paperback. . . . . .

Condition: New.

Condition: New.

Condition: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condition: Brand New. 250 pages. 9.00x6.00x0.55 inches. In Stock.

Condition: New.

Taschenbuch. Condition: Neu. Neuware - 'Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.'.

Condition: New. With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, StitchFix, Microsoft and Capital One share their experienc.

Paperback. Condition: New. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.Topics include:The Importance of Data Lineage - Julien Le DemData Security for Data Engineers - Katharine JarmulThe Two Types of Data Engineering and Data Engineers - Jesse AndersonSix Dimensions for Picking an Analytical Data Warehouse - Gleb MezhanskiyThe End of ETL as We Know It - Paul SingmanBuilding a Career as a Data Engineer - Vijay KiranModern Metadata for the Modern Data Stack - Prukalpa SankarYour Data Tests Failed! Now What? - Sam Bail.

Paperback. Condition: new. Paperback. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.Topics include:The Importance of Data Lineage - Julien Le DemData Security for Data Engineers - Katharine JarmulThe Two Types of Data Engineering and Data Engineers - Jesse AndersonSix Dimensions for Picking an Analytical Data Warehouse - Gleb MezhanskiyThe End of ETL as We Know It - Paul SingmanBuilding a Career as a Data Engineer - Vijay KiranModern Metadata for the Modern Data Stack - Prukalpa SankarYour Data Tests Failed! Now What? - Sam Bail With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, StitchFix, Microsoft and Capital One share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books!

Paperback. Condition: new. Paperback. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.Topics include:The Importance of Data Lineage - Julien Le DemData Security for Data Engineers - Katharine JarmulThe Two Types of Data Engineering and Data Engineers - Jesse AndersonSix Dimensions for Picking an Analytical Data Warehouse - Gleb MezhanskiyThe End of ETL as We Know It - Paul SingmanBuilding a Career as a Data Engineer - Vijay KiranModern Metadata for the Modern Data Stack - Prukalpa SankarYour Data Tests Failed! Now What? - Sam Bail With this in-depth book, current and aspiring engineers will learn powerful, real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, StitchFix, Microsoft and Capital One share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: New.

Paperback. Condition: New. Take advantage of today's sky-high demand for data engineers. With this in-depth book, current and aspiring engineers will learn powerful real-world best practices for managing data big and small. Contributors from notable companies including Twitter, Google, Stitch Fix, Microsoft, Capital One, and LinkedIn share their experiences and lessons learned for overcoming a variety of specific and often nagging challenges.Edited by Tobias Macey, host of the popular Data Engineering Podcast, this book presents 97 concise and useful tips for cleaning, prepping, wrangling, storing, processing, and ingesting data. Data engineers, data architects, data team managers, data scientists, machine learning engineers, and software engineers will greatly benefit from the wisdom and experience of their peers.Topics include:The Importance of Data Lineage - Julien Le DemData Security for Data Engineers - Katharine JarmulThe Two Types of Data Engineering and Data Engineers - Jesse AndersonSix Dimensions for Picking an Analytical Data Warehouse - Gleb MezhanskiyThe End of ETL as We Know It - Paul SingmanBuilding a Career as a Data Engineer - Vijay KiranModern Metadata for the Modern Data Stack - Prukalpa SankarYour Data Tests Failed! Now What? - Sam Bail.

Paperback. Condition: Brand New. 250 pages. 9.00x6.00x0.55 inches. In Stock. This item is printed on demand.