10 Built-In Python Modules Every Data Engineer Should Know
KDnuggets
SEPTEMBER 2, 2024
Interested in data engineering? Check out this round-up of built-in Python modules that'll come in handy for data engineering tasks.
KDnuggets
SEPTEMBER 2, 2024
Interested in data engineering? Check out this round-up of built-in Python modules that'll come in handy for data engineering tasks.
databricks
SEPTEMBER 2, 2024
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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KDnuggets
SEPTEMBER 2, 2024
4 in-demand jobs that do not get enough recognition.
databricks
SEPTEMBER 2, 2024
For over 40 years, Thomas’ central ethos has been that companies can elevate job satisfaction and productivity by better understanding how people interact.
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.
Cloudyard
SEPTEMBER 2, 2024
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
KDnuggets
SEPTEMBER 2, 2024
Scaling data science projects can be difficult. This article explores challenges and strategies for managing large-scale data.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
ArcGIS
SEPTEMBER 2, 2024
Amerley Ampofo with MTN Ghana provides incredible insight into her geospatial story, the telco world, and her thoughts about leadership.
Hevo
SEPTEMBER 2, 2024
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?
Edureka
SEPTEMBER 2, 2024
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.
Edureka
SEPTEMBER 2, 2024
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.
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.
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