Mon.Jan 15, 2024

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Breaking Down Quantum Computing: Implications for Data Science and AI

KDnuggets

This article has explored the impact of quantum computing on data science and AI. We will look at the fundamental concepts of quantum computing and the key terms that are used in the field. We will also cover the challenges that lie ahead for quantum computing and how they can be overcome.

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Validation vs. Verification: What’s the Difference?

Precisely

Data validation Data verification Purpose Check whether data falls within the acceptable range of values Check data to ensure it’s accurate and consistent Usually performed When data is created or updated When data is migrated or merged Example Checking whether user-entered ZIP code can be found Checking that all ZIP codes in dataset are in ZIP+4 format To a layperson, data verification and data validation may sound like the same thing.

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SQL Group By and Partition By Scenarios: When and How to Combine Data in Data Science

KDnuggets

Learn the generic scenarios and techniques of grouping and aggregating data, partitioning and ranking data in SQL, which will be very helpful in reporting requirements.

SQL 148
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Simplify Data Integration With Informatica’s Snowflake Native App

Snowflake

Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Now, Informatica customers in the Snowflake ecosystem have an even easier way to integrate data to and from the Snowflake Data Cloud. Informatica’s Enterprise Data Integrator, a Snowflake Native App currently in public preview, facilitates the high-speed replication of enterprise data into Snowflake and brings the

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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DORA Metrics At Work

Booking.com Engineering

DEVOPS How we doubled our team’s delivery performance within a year as measured by DORA metrics. source Imagine your team secured a budget for doubling the number of software engineers. That’s great! You can finally fix all the bugs, implement new ideas, and clean up all the technical debt that’s been accumulating for years. Right? Wait, wait… Not so fast.