Thu.Aug 03, 2023

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Google Shutting down Firebase Dynamic Links

The Pragmatic Engineer

👋 Hi, this is Gergely with a free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Pulse issue. If you’re not yet a full subscriber, you missed this week’s deepdive: The 2023 tech market, as seen by hiring managers. To get full newsletters twice a week, subscribe here.

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7 Steps to Mastering Data Cleaning and Preprocessing Techniques

KDnuggets

Are you trying to solve your first data science project? This tutorial will help you to guide you step by step to prepare your dataset before applying the machine learning model.

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Forging a Data Strategy for Success in Uncertain Times

Precisely

The results are in! The 2023 Data Integrity Trends and Insights Report , published in partnership between Precisely and Drexel University’s LeBow College of Business, delivers groundbreaking insights into the importance of trusted data. For the report, more than 450 data and analytics professionals worldwide were surveyed about the state of their data programs.

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Breaking the Data Barrier: How Zero-Shot, One-Shot, and Few-Shot Learning are Transforming Machine Learning

KDnuggets

Discover the concepts of Zero-Shot, One-Shot, and Few-Shot Learning, which enable machine learning models to classify and recognize objects or patterns with a limited number of examples.

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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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Create the engineering career you love at Pinterest

Pinterest Engineering

An interview with Behnam Rezaei | Pinterest VP, Engineering At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love. For our employees, this extends further to creating the life and career they love. The Pinterest Engineering Blog team sat down with Behnam Rezaei to get an inside scoop into the Monetization Engineering team, what makes Pinterest different and why now is a great time to join our team.

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Protecting Your Compute Resources From Bitcoin Miners With a Data Lakehouse

databricks

As cryptocurrencies, particularly Bitcoin, have grown in popularity, so has the phenomenon of Bitcoin mining. While normal mining operations are critical for blockchain.

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SQL For Data Science: Understanding and Leveraging Joins

KDnuggets

Learn how to use different joins in SQL and how this helps you in data science.

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Beyond the Hype: WebAssembly – from the browser to beyond by Colin Eberhardt

Scott Logic

In this episode, I’m joined by Bailey Hayes from Cosmonic and Sean Isom from Adobe – between them, they have a wealth of WebAssembly experience and insights. We start by discussing the early days of WebAssembly, and where it all began, in the browser. We debate the infamous tweet that compares WebAssembly to Docker, and look at the future promise of the Component Model, which aims to break down language barriers.

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Verivox Provides Up-To-Date Insights to Customers and Press Partners with Snowflake

Snowflake

Whether you’re a consumer looking for the right energy, telecommunications, insurance, or financial solution, or a journalist investigating those markets, you need accurate and timely data. Verivox delivers up-to-date information to customers and businesses with Snowflake, and monetizes its data by listing it on Snowflake Marketplace. And, with Snowflake’s data sharing capabilities, it also gives press partners access to the information they need to report on market shifts.

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The Importance of Standardized Hashing Across Producers

Confluent

Java and non-Java producers use different partitioners by default and that can lead to mismatches and data inconsistencies when developing streaming applications. Learn how to address this in Apache Kafka.

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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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Salesforce to Amazon Aurora: 3 Ways to Integrate Data

Hevo

You might have a tonne of data in your Salesforce application. Do you realize how much of a help it can be to you to optimize business operations and improve customer engagement? For that, you need a fully managed and cost-effective database like Amazon Aurora.

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Leveraging The Powers of Functional Code?—?Part 2

Booking.com Engineering

Leveraging The Powers of Functional Code — Part 2 The Fully Functional Haskell Solution Part one can be found here: [link] The Solution: Regarding the Haskell code — don’t worry if you don’t understand everything. I am going to explain the main points of it by drawing a parallel to the Java implementation. If you are curious about FP, I cannot recommend this book enough, and the online version is free: [link] It is a pleasant read with lots of humor (just the illustrations by themselves make me

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MySQL on Amazon RDS to Amazon Aurora Data Integration: 2 Easy Methods

Hevo

Are you struggling to connect MySQL on Amazon RDS to Amazon Aurora? Do you find it challenging to integrate the two platforms and leverage the powerful features they offer? You’re not alone. As the amount of data grows, MySQL databases on Amazon RDS may face difficulties in efficiently managing and processing the data.

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