Mon.Sep 02, 2024

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10 Built-In Python Modules Every Data Engineer Should Know

KDnuggets

Interested in data engineering? Check out this round-up of built-in Python modules that'll come in handy for data engineering tasks.

Python 151
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Driving into the future of electric transportation

databricks

Rivian chose to modernize its data infrastructure on the Databricks Data Intelligence Platform, giving it the ability to unify all of its data into a common view for downstream analytics and machine learning.

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4 Entry-Level Certificates from Microsoft to Land In-Demand Jobs

KDnuggets

4 in-demand jobs that do not get enough recognition.

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Thomas uses GenAI to improve workplace collaboration

databricks

For over 40 years, Thomas’ central ethos has been that companies can elevate job satisfaction and productivity by better understanding how people interact.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Python Files within Snowflake Python Procedures

Cloudyard

Read Time: 1 Minute, 36 Second Snowflake’s support for Python stored procedures allows data engineers and scientists to leverage Python’s vast ecosystem directly within Snowflake. This capability enables advanced analytics, custom data processing, and seamless integration of Python libraries. One particularly powerful feature is the ability to import and use Python files (.py) directly within a Snowflake stored procedure, which promotes code modularity, reusability, and better organi

Python 97
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Scalability Challenges & Strategies in Data Science

KDnuggets

Scaling data science projects can be difficult. This article explores challenges and strategies for managing large-scale data.

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Podcast 17 – Amerley Ampofo, MTN, Ghana; The key to good leadership is through emotional intelligence.

ArcGIS

Amerley Ampofo with MTN Ghana provides incredible insight into her geospatial story, the telco world, and her thoughts about leadership.

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AWS Glue vs Matillion: Which is the right ETL tool for you?

Hevo

As far as data pipeline construction and maintenance are concerned, ETL (Extract, Transform, Load) tools play a crucial role, and their selection determines success. When considering the market offerings, AWS Glue vs Matillion frequently stands out. Each has advantages, but how do you decide which one will better suit your needs?

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50+ Top Postman Interview Questions & Answers

Edureka

Better API testing is further offered by Postman, the most prominent tool among developers and QA testers to perform API Testing. Postman is a unit testing tool commonly used for API Testing. Every fresher or more experienced person finds preparing and cracking the postman interview process challenging. There are a couple of the most common postman interview questions.

Coding 40
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What is Virtual DOM in ReactJS

Edureka

What is a Document Object Model (DOM) Document Object Model, or DOM, refers to a computer interface based on a document model of structures as a tree of objects. This enables the running programs to update content structure and view the web pages as desired. It depicts the document’s structure, providing for its components, attributes, and the text as objects of the tree.

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.