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97 things every data engineer should know

Grouparoo

Tianhui Michael Li The Three Rs of Data Engineering by Tobias Macey Data testing and quality Automate Your Pipeline Tests by Tom White Data Quality for Data Engineers by Katharine Jarmul Data Validation Is More Than Summary Statistics by Emily Riederer The Six Words That Will Destroy Your Career by Bartosz Mikulski Your Data Tests Failed!

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Accenture’s Smart Data Transition Toolkit Now Available for Cloudera Data Platform

Cloudera

These schemas will be created based on its definitions in existing legacy data warehouses. Smart DwH Mover helps in accelerating data warehouse migration. Smart Data Validator helps in extensive data reconciliation and testing. Smart Query Convertor converts queries and views to be made compatible on CDW.

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Kickstart Your 2023 with these 6 Articles – The Meltano Teams Favorite Data Articles of 2022

Meltano

He compared the SQL + Jinja approach to the early PHP era… […] “If you take the dataframe-centric approach, you have much more “proper” objects, and programmatic abstractions and semantics around datasets, columns, and transformations.

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Creating Value With a Data-Centric Culture: Essential Capabilities to Treat Data as a Product

Ascend.io

Treating data as a product is more than a concept; it’s a paradigm shift that can significantly elevate the value that business intelligence and data-centric decision-making have on the business. It is the stage where data truly becomes a product, delivering tangible value to its end users.

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50 Business Analyst Interview Questions and Answers

ProjectPro

RUP is a procedure of software development that is “iterative, architecture-centric, and use-case driven” The RUP method involves listing requirements as use cases, which helps keep track of value to the lone business stakeholders for each piece of serviceability. What is a database cursor? What is the RUP method?