Sat.Mar 30, 2024 - Fri.Apr 05, 2024

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Data News — Week 24.14

Christophe Blefari

Lost between ideas ( credits ) Hey, new Data News edition. I hope you will enjoy this week selection after skipping last week one. I was a bit overwhelmed with the amount of tasks I had on the desk—and I'm still. But here we are. Before jumping to the news, I want to let you know that I have improved the Recommendations page and the weekly emails with the recommendation should arrive soon.

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10 GitHub Repositories to Master Computer Science

KDnuggets

These GitHub repositories provide valuable resources for mastering computer science, including comprehensive roadmaps, free books and courses, tutorials, and hands-on coding exercises to help you gain the skills and knowledge necessary to thrive in the ever-evolving field of technology.

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Rolling history logs in Spark History UI

Waitingforcode

Stream processing is great but it brings some gotchas that are not obvious. Logs are one of them.

Process 130
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Monte Carlo Releases Mastering Data Quality And Your ABCs, World’s First-Ever Children’s Book on Data Quality

Monte Carlo

Good Night Moon. Where The Wild Things Are. The Cat in the Hat. And now, from the mind of Barr Moses, comes the historic next children’s literary classic: Mastering Data Quality And Your ABCs. A follow up to 2022’s Data Quality Fundamentals: A Practical Guide to Building Reliable Data Pipelines published by O’Reilly Media , Mastering Data Quality And Your ABCs educates the next generation of data and AI engineers about the importance of highly reliable 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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Snowflake Ventures Invests in Coalesce to Enable Simplified Data Transformation Development and Management Natively on the Data Cloud

Snowflake

Data transformation is the process of converting data from one format to another, the “T” in ELT, or extract, load, transform, which enables organizations to get their data analytics-ready and derive insights and value from it. As companies collect more data, from disparate sources and in disparate formats, building and managing transformations has become exponentially more complex and time-consuming.

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The Psychology of Data Visualization: How to Present Data that Persuades

KDnuggets

This article discusses the psychology of data visualization, including the principles and techniques that underpin the creation of persuasive and effective visuals.

Data 134

More Trending

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Deploying Third-party models securely with the Databricks Data Intelligence Platform and HiddenLayer Model Scanner

databricks

Introduction The ability for organizations to adopt machine learning, AI, and large language models (LLMs) has accelerated in recent years thanks to the.

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Real-Time Pharmaceutical Authorization

Confluent

Use Confluent data streaming platform to enable real-time pharmaceutical approvals – with healthcare compliance, improved patient safety, and automation for greater efficiency and cost savings.

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5 Data Analyst Projects to Land a Job in 2024

KDnuggets

Here’s how to stand out from the competition, impress employers, and get a job in data analytics.

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Navigating Your Data Platform’s Growing Pains: A Path from Data Mess to Data Mesh

Towards Data Science

A set of strategies and guiding principles to effectively scale your data platform while maximizing its business impact.

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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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Leverage Google Gemini on ThoughtSpot AI-Powered Analytics

ThoughtSpot

Over the past couple of years, ThoughtSpot and Google have collaborated on a series of seamless user experiences—enabling deployments on Google Cloud Platform, creating the ability to live query entire Google BigQuery analytics catalogs, and integrating key Looker Modeling functionality just to name a few. This type of co-innovation helps mutual customers get the most value out of their data.

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Confluent Named a Leader in two IDC MarketScape Reports

Confluent

Learn why Confluent was named a Leader in the analytic stream processing and event brokering software markets. We believe we innovate every industry with real-time stream processing and analytics, cloud-native Apache Kafka®, and robust developer tooling.

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The Rise of Chief AI Officer

KDnuggets

The C-suite of business, technology, and data executives sees a new addition – the CAIO (Chief AI Officer). But what does this role mean for the organizations? Let’s find out!

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Data Governance Trends für 2024

Precisely

In der hochdigitalisierten Welt von heute sind Daten ein strategisches Gut. Es reicht nicht mehr aus, den Wert Ihrer Daten opportunistisch zu nutzen. Um wettbewerbsfähig zu bleiben, müssen Sie proaktiv und systematisch nach neuen Wegen suchen, um Daten zu Ihrem Vorteil zu nutzen. Auch wenn der Wert von Daten einen neuen Höchststand erreicht, haben sich die grundlegenden Regeln für datengestützte Entscheidungsfindung nicht geändert.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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What is Data Reconciliation? Everything to Know

Hevo

Data reconciliation is the process of comparing data from different systems or sources to identify and fix discrepancies. The goal is to ensure that the information is accurate and up-to-date. If there are mismatches, data reconciliation helps find the root cause and rectifies them.

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Microsoft Software Engineer Resume for 2024 [Example & Template]

Knowledge Hut

The demand for software engineers has been high in the past decade. This means that plenty of opportunities are available for professionals with efficient skills. As someone who specializes in software engineering, I think you need to create the best resume before you can apply for these job roles. This is especially relevant when applying to globally renowned technology companies like Microsoft.

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A Beginner’s Guide to the Top 10 Machine Learning Algorithms

KDnuggets

Data science’s essence lies in machine learning algorithms. Here are ten algorithms that are a great introduction to machine learning for any beginner!

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Will It Automate? Accessibility Testing by Will McKenzie

Scott Logic

I’m sure we’ve all been there, you’ve completed all your features, testers and product owners have signed them off, all critical bugs are resolved and you’re ready for production. You’ve even passed PEN testing! There’s just one last hurdle you’ve got to overcome: accessibility testing. It should be fine, right? You added alt text to your images and linked your labels with your inputs, you’ve got it covered… and then the report comes back.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Best Data Reconciliation Tools: Complete Guide

Hevo

Data reconciliation is essential for financial accuracy, but it can be tedious. Data reconciliation is a process where datasets are compared and matched to ensure accuracy and consistency. The process involves identifying discrepancies in the data and resolving them proactively to prevent an impact on the outcomes.

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25+ Resignation Letter Samples to Use in 2024 [With Template]

Knowledge Hut

Have you ever faced the need to resign from your job? Whether it's prompted by an enticing promotion elsewhere or simply a longing for a change, drafting a resignation letter and deciding on the notice period are very important stages in the process. Resigning from a job can be a significant decision, often accompanied by various emotions and considerations.

Process 52
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5 AI Courses From Google to Advance Your Career

KDnuggets

Start your AI journey today with these courses from Google.

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You need an AI Team and an AI Lead

DareData

The world as we know it is undergoing a seismic shift, and at the heart of it all is Artificial Intelligence (AI). It's not just another buzzword or passing trend; it's a game-changer that's reshaping industries, processes, and the way we live and work. If you're still skeptical, consider this: we're at a critical moment similar to the dawn of the industrial revolution or the advent of electricity.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Hive MySQL Replication: 2 Simple and Easy Methods

Hevo

In today’s data-driven world, efficient workflow management and secure storage are essential for the success of any project or organization. If you have large datasets in a cloud-based project management platform like Hive, you can smoothly migrate them to a relational database management system (RDBMS), like MySQL.

MySQL 52
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Chef Architecture: Overview of Chef Infra

Knowledge Hut

Chef is an open-source configuration management tool developed by Opscode to solve the problem of manual and repetitive infrastructure management tasks. Chef is programmed in Ruby DSL and uses a declarative approach to be more user serving. It mostly uses a client-server model but can also run standalone. (Chef Solo) Users write system configuration files that are called ‘Recipes’, which are then organized into ‘Cookbooks’.

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Distribute and Run LLMs with llamafile in 5 Simple Steps

KDnuggets

Do you want to know how to run LLMs on your computer without installing a lot of dependencies or writing code? Well, you're in luck! By the end of this tutorial, you will have successfully run an LLM using llamafile and interacted with it through a user-friendly interface.

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7 Essential Data Cleaning Best Practices

Monte Carlo

Spring cleaning is upon us. And if you happen to be reading this article in a season other than spring, don’t worry: spring cleaning is acceptable (and encouraged, in fact) year-round. Nothing quite beats the feeling of a clean household or a clean inbox. But, for data engineers, there’s something else that comes pretty close to the top of that list: clean data.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Discover the Power of GCP Marketplace: A How-To Guide for Data Practitioners

Hevo

Building all the tools you need from scratch or having complex installments for a cloud environment is a thing of the past now. In this fast-paced world, we need solutions that save time and make us more efficient.

Cloud 52
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Keeping an Eye on Your Snowflake Warehouse: Automated Monitoring and Email Alerts

Cloudyard

Read Time: 3 Minute, 17 Second In the world of data warehousing, keeping track of changes to your Snowflake warehouse size is crucial. Unexpected adjustments can impact performance and potentially incur additional costs. This blog post introduces a solution for automated warehouse size change monitoring and email alerts using Snowflake Streams and Tasks.

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The Only Interview Prep Course You Need for Deep Learning

KDnuggets

Dive into the 50 most popular deep-learning questions to get you ready for your interview.

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How Technical Architect Bergur Helps Customers Win with Data Streaming

Confluent

Our latest Confluent Champion post explores how Technical Architect Bergur Ziska helps customers win with data streaming.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating