Wed.Jul 05, 2023

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A Tour Around Buck2, Meta's New Build System

Tweag

Meta recently announced they have made Buck2 open-source. Buck2 is a from-scratch rewrite of Buck , a polyglot, monorepo build system that was developed and used at Meta (Facebook), and shares a few similarities with Bazel. As you may know, the Scalable Builds Group at Tweag has a strong interest in such scalable build systems. We were thrilled to have the opportunity to work with Meta on Buck2 to help make the tool useful and successful in the open-source use case.

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KDnuggets News, July 5: A Rotten Data Science Project • 10 AI Chrome Extensions for Data Scientists Cheat Sheet

KDnuggets

Data Science Project of Rotten Tomatoes Movie Rating Prediction: First Approach • 10 AI Chrome Extensions for Data Scientists Cheat Sheet • Generate Music From Text Using Google MusicLM • 5 Free Books on Natural Language Processing to Read in 2023 • Stable Diffusion: Basic Intuition Behind Generative AI

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Unlocking Data Modeling Success: 3 Must-Have Contextual Tables

Towards Data Science

And how to ingest valuable data for free Photo by Tobias Fischer on Unsplash Data modeling can be a challenging task for analytics teams. With unique business entities in every organization, finding the right structure and granularity for each table becomes open-ended. But fear not! Some of the data you need is simplistic, free, and occupies minimal storage.

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5 Highest-paid Languages to Learn This Year

KDnuggets

Level up your coding skills by learning the hottest programming languages to boost your career and fatten your paycheck!

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Navigating the Future: Generative AI, Application Analytics, and Data

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?

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Grow a Diverse Workforce through Equitable Development

Lyft Engineering

By Yuko Yamazaki a Senior Director of Engineering on Lyft’s Customer Platform Team & the Founder of Lyft’s Equitable Development Initiative (EDI). Lyft’s Tech Diversity Over the last three years, Lyft has increased the representation of Underrepresented Minorities (URM) in technical leadership roles by more than three times. At Lyft, URM is defined as team members from Women, Black, and Latinx communities, and technical leadership roles are defined as Staff+ IC and M1+ manager roles.

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How to Build a Credit Data Platform on the Databricks Lakehouse

databricks

Get started and build a credit data platform for your business by visiting the demo at dbdemos.ai. Introduction According to the World Bank's.

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How Databricks Unity Catalog Helped Amgen Enable Data Governance at Enterprise Scale

databricks

This blog authored post by Jaison Dominic, Senior Manager, Information Systems at Amgen, and Lakhan Prajapati, Director of Architecture and Engineering at ZS.

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What Are ACID Transactions?

Towards Data Science

Understanding ACID properties in the context of database transactions Continue reading on Towards Data Science »

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DEW #132: The New Generative AI Infra Stack, Databricks cost management at Coinbase, Exploring an Entity Resolution Framework Across Various Use Cases & What's the hype behind DuckDB?

Data Engineering Weekly

Welcome to another episode of Data Engineering Weekly. Aswin and I select 3 to 4 articles from each edition of Data Engineering Weekly and discuss them from the author’s and our perspectives. On DEW #132, we selected the following article Cowboy Ventures: The New Generative AI Infra Stack Generative AI has taken the tech industry by storm. In Q1 2023, a whopping $1.7B was invested into gen AI startups.

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Mastering Data Quality: 5 Lessons from Data Leaders at Babylist and Nasdaq

Monte Carlo

What does it mean to be truly “data-driven”? All too often, teams tasked with becoming “data-driven” get excited about new technologies (Snowflake! dbt! Databricks!) while overlooking or failing to understand what it really takes to make their tools — and, ultimately, their data initiatives — successful. When it comes to driving impact with your data, you first need to understand and manage that data’s quality.

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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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DEW #133: How to Implement Write-Audit-Publish (WAP), Vector Database - Concepts and examples & Data Warehouse Testing Strategies for Better Data Quality

Data Engineering Weekly

Welcome to another episode of Data Engineering Weekly. Aswin and I select 3 to 4 articles from each edition of Data Engineering Weekly and discuss them from the author’s and our perspectives. On DEW #133, we selected the following article LakeFs: How to Implement Write-Audit-Publish (WAP) I wrote extensively about the WAP pattern in my latest article, An Engineering Guide to Data Quality - A Data Contract Perspective.

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Tips to Build a Robust Data Lake Infrastructure

DareData

Learn how we build data lake infrastructures and help organizations all around the world achieving their data goals. In today's data-driven world, organizations are faced with the challenge of managing and processing large volumes of data efficiently. To overcome this challenge, many companies are turning to Data Lake solutions, which provide a centralized and scalable platform for storing, processing, and analyzing data.

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ODBC connector with Azure IR Contd.

Cloudyard

Read Time: 1 Minute, 24 Second During the last post we discussed how Snowflake ODBC connector use with Azure Data factory to ingest data into Snowflake hosted on AWS cloud platform. To implement the requirement we have installed Snowflake ODBC driver on the machine. Later on we install and configure Azure integration runtime (Self Hosted) on our machine.

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10 UI/UX Design Best Practices and Tips

Knowledge Hut

As technology continues to evolve, consumers expect more from their digital experiences. UI/UX designers play a crucial role in ensuring that these experiences meet user needs and expectations. With lots of competition in the digital space, it is important for designers to follow best practices to stand out & offer a user-friendly interface. According to a recent survey, over 88% of online users are less likely to return to a website after a bad experience.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Data Science Project of Rotten Tomatoes Movie Rating Prediction: Second Approach

KDnuggets

Predicting Movie Status Based on Review Sentiment.

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Top IT Security Job Opportunities in 2023

Knowledge Hut

Information security has become an essential aspect of modern business, with cyber-attacks and data breaches continuing to present significant threats. Therefore, the demand for skilled IT security professionals who can protect sensitive data and networks has skyrocketed. Are you exploring IT security career opportunities in 2023? Now is the time! Along with gaining experience, pursuing IT Security Certification courses can help you stay up to date with the latest technologies and trends in the

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EDA with Polars: Step-by-Step Guide for Pandas Users (Part 1)

Towards Data Science

Level up your data analysis with Polars Continue reading on Towards Data Science »

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Inside Acceldata: Employee Spotlight

Acceldata

Learn more about Acceldata through the perspective of Asha Nirmal Raj, one of our stellar Inside Sales Managers.

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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.

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Data Observability Tools: Types, Capabilities, and Notable Solutions

Databand.ai

What Are Data Observability Tools? Data observability tools are software solutions that oversee, analyze, and improve the performance of data pipelines. These tools offer data engineers insight into the health of their data infrastructure, by giving visibility into crucial metrics like latency, throughput, and error rates. By employing these tools, teams can proactively detect issues before they become larger problems that affect business operations.

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Build and Deploy in SaaS-COSS: Insights from Preset and Apache Superset

Preset

Learn how Preset addresses the challenges of managing commercial open-source releases.

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Is Your Company Ready to Graduate from Data as a Product to Data Mesh?

Ascend.io

As more companies ingest and leverage ever-increasing amounts of data, a new problem has come to light: it turns out that monolithic data platforms built and managed by centralized teams are rarely the best engine with which to create value. By challenging this predominant paradigm, the new framework of data mesh has taken the analytics world by storm.