The Pragmatic Engineer
OCTOBER 10, 2023
👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover three out of eight topics from today’s deepdive into tech scaleup Chronosphere. To get full issues twice a week, subscribe here.
Waitingforcode
OCTOBER 10, 2023
If you have some experience with RDBMS, who doesn't btw, you have probably run a VACUUM command to reclaim the storage space occupied by deleted or obsolete rows. If you're now working with Delta Lake, you can do the same!
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databricks
OCTOBER 10, 2023
We’re excited to announce that Meta AI’s Llama 2 foundation chat models are available in the Databricks Marketplace for you to fine-tune and dep.
KDnuggets
OCTOBER 10, 2023
Itertools is a Python module library that provides a wide range of tools for efficiently working with iterators and generators. One compelling element in the itertools library is its ability to work with infinite iterators. In this article, we will explore infinite iterators in itertools, their capabilities, and the typical scenarios in which they can be used.
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Confluent
OCTOBER 10, 2023
Learn how data streaming enables you to accurately predict future customer demands while delivering the right products in the right quantities to satisfy customer demand without creating a surplus.
KDnuggets
OCTOBER 10, 2023
So you want to understand your customer base better? Learn how to leverage RFM analysis and K-Means clustering in Python to perform customer segmentation.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
KDnuggets
OCTOBER 10, 2023
Looking to understand the semantic layer and how it can improve your data stack? This GigaOm Sonor report on Semantic Layers can help you delve deeper.
databricks
OCTOBER 10, 2023
Retailers have long shared sales and inventory data with their suppliers. Combined access to this information enables the two parties to assess consumer.
KDnuggets
OCTOBER 10, 2023
Navigating the Maze of Accuracy, Precision, and Recall in Machine Learning.
Cloudyard
OCTOBER 10, 2023
Read Time: 3 Minute, 31 Second In this discussion, we’ll explore Snowflake’s newest feature: Streams on Consumer Account. As we know data sharing allows organizations to securely share data with other Snowflake accounts without the need to copy the data. Data provider shares specific data securely, and data consumer queries this shared data in real-time, empowering data-driven decision-making.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
Acceldata
OCTOBER 10, 2023
Learn about Acceldata's new Kubernetes development and testing environment for its internal development team.
Monte Carlo
OCTOBER 10, 2023
If the terms “ data observability ” and “ data quality ” sound unfamiliar to you, you might want to check in on your data engineering team. Bad data is the singular perpetrator of data quality incidents, leading to hundreds of hours of lost data engineering time—not to mention some potentially costly consequences for your downstream consumers.
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