Data Engineering Podcast

JANUARY 7, 2024

Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. Unfortunately, the volumes of data that are being generated continue to double, requiring further advancements in the platform capabilities to keep up. As the sophistication increases, so does the complexity, leading to challenges for user experience.

Data Process 147

Data Process Process Data Lake High Quality Data 147

Christophe Blefari

JANUARY 7, 2024

Thoughts. Backward and forward. ( credits ) Hello, it's 2024. I hope you're well and that you've ended 2023 on a high note with your loved ones. I wish you a Happy New Year and all the best for 2024. I'm very happy to have the privilege of corresponding with you and it honours me. This edition of Data News will focus on the end of 2023 with a good retrospective about me and my activities—content and freelancing.

Data 130

Data SQL Python Data Engineering 130

Towards Data Science

JANUARY 7, 2024

Streamline Data Pipelines: How to Use WhyLogs with PySpark for Effective Data Profiling and Validation Photo by Evan Dennis on Unsplash Data pipelines, made by data engineers or machine learning engineers, do more than just prepare data for reports or training models. It’s crucial to not only process the data but also ensure its quality. If the data changes over time, you might end up with results you didn’t expect, which is not good.

Data Pipeline 77

Data Pipeline Hospitality Data Validation Datasets 77

Knowledge Hut

JANUARY 7, 2024

As the world becomes more digital, the demand for software developers grows. But what does a software developer do? A software developer is responsible for developing, testing, and maintaining software applications. They work in various industries, including computer systems design, software publishing, and information technology. The job of a software developer can be both challenging and rewarding.

Software Engineer 52

Software Engineer Software Engineering Programming Language Education 52

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence