Mon.Mar 25, 2024

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How To Build and Open Source PYPI Python Package

Confessions of a Data Guy

Ever wondered how to build and end-to-end project for an Open Source Python Package that gets published to PYPI? I built out lakescuman open-source package to help with Databricks Unity Catalog Delta Lake tables querying with Polars, DuckDB, or PyArrow. [link] The post How To Build and Open Source PYPI Python Package appeared first on Confessions of a Data Guy.

Python 100
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The Promise of Edge AI and Approaches for Effective Adoption

KDnuggets

Organizations are adopting edge AI for real-time decision-making using efficient and cost-effective methods such as model quantization, multimodal databases, and distributed inferencing.

Database 120
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Phone Number Masking for Yelp Services Projects

Yelp Engineering

In this blog post, we highlight how phone number masking helps build consumer trust in the services marketplace at Yelp, decreases the friction in communication with service professionals, and allows for seamless switching between the Yelp app and a user’s phone. We present a high level overview of our in-house phone masking system and dive into the details of the engineering challenge of optimizing the usage of proxy phone number resources at Yelp’s scale.

Project 103
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Pydantic Tutorial: Data Validation in Python Made Simple

KDnuggets

Want to write more robust Python applications? Learn how to use Pydantic, a popular data validation library, to model and validate your data.

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Get Better Network Graphs & Save Analysts Time

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.

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#ClouderaLife Employee Spotlight: Jess Hohn-Cabana

Cloudera

Meet Cloudera’s new Senior Vice President of Global Communications, Jess Hohn-Cabana. In this Employee Spotlight, we’ll get to know more about Jess, her new role, and her recent award win at the 2024 Ragan Top Women in Communications Awards. Get to Know Jess: A Seasoned Leader in Tech Communications and Branding Coming to Cloudera with nearly three decades of experience in tech communications and branding, Jess is a leader and a visionary on all things storytelling.

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Become a Business Intelligence Analyst in Less Than 6 Months

KDnuggets

Ready to become a business intelligence analyst right here, right now?

More Trending

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Reflections on Strong Momentum and Category Leadership in Data Observability

Monte Carlo

When we launched the data observability category in 2020, we set out to solve a very real problem: data trust. In the preceding months, I met with hundreds of data leaders about what kept them up at night. Time and again, data leaders regaled stories of how their critical dashboards broke the morning of an executive meeting or their ML model generated inaccurate predictions.

MySQL 64
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Cloud Business Intelligence: A Comparative Analysis of Power BI, QuickSight, and Tableau by Mike Morgan

Scott Logic

We, Mike Morgan and Steve Conway, are a pair of Senior Developers at Scott Logic who have recently been evaluating Business Intelligence tools. Our focus has been on tools for use on cloud platforms, with moderate levels of demand. We were particularly interested in how easy they were for novice BI users (like ourselves) to get to grips with. In this blog we will look at three of the leading tools, Microsoft Power BI, Amazon Quicksight and Tableau.

BI 52
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25 Essential Interview Tips for Success in 2024

Knowledge Hut

Whether you're a recent graduate seeking your first real work experience or an experienced professional ready for a change, the prospect of facing a job interview can be nerve-wracking. Each interview, regardless of the outcome, offers valuable lessons and insights that shape our professional journey. From my own experiences, I've learned that preparation, confidence, and authenticity are key to navigating interviews successfully.

Project 52
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From Data Mess to Data Mesh – Getting Started with Confluent

Confluent

Discover key organizational and technological considerations to successfully implement a data mesh. Download the new ebook for details.

Data 57
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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.