Sat.Mar 16, 2024 - Fri.Mar 22, 2024

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The Path To Senior Engineer

Confessions of a Data Guy

Want to know how to grow to the Senior Engineering position? Take a look. The post The Path To Senior Engineer appeared first on Confessions of a Data Guy.

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Data Engineering Weekly #163

Data Engineering Weekly

Stephanie Kirmer: Uncovering the EU AI Act Large language models have taken the world by storm, and every country is trying to evaluate its potential impact. India recently announced that all AI apps require government approval and dropped the plan later. On similar trends, the article navigates to the complex EU AI Act, recently passed by the European Parliament, which introduces comprehensive regulations for machine learning models impacting EU citizens, focusing on mitigating risks to health,

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Exploring Apache Flink 1.19: Features, Improvements, and More

Confluent

Read the highlights from the Flink 1.19 release, including standard YAML support for configurations, dynamic source parallelism inference, and SQL and Table API improvements.

SQL 60
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New Year’s Resolutions and Gym Deals: A Catalyst for Changing Consumer Behavior

Precisely

Consumers kick-started the year by building more health-focused habits, with nearly a 5% increase in visits to gyms and grocery stores, while interest in less healthy options like convenience stores and fast-food chains dropped significantly. Set the Stage The beginning of the New Year has always been used as an opportunity to make lifestyle changes, usually for the better of the decision-maker.

Food 59
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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Demystifying CDC: Understanding Change Data Capture in Plain Words

Towards Data Science

In my work experiences (in the field of Big Data analysis and Data Engineering), the projects are always different, but they always follow… Continue reading on Towards Data Science »

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Building Ethical AI Starts with the Data Team – Here’s Why

Monte Carlo

When it comes to the technology race, moving quickly has always been the hallmark of future success. Unfortunately, moving too quickly also means we can risk overlooking the hazards waiting in the wings. It’s a tale as old as time. One minute you’re sequencing prehistoric mosquito genes, the next minute you’re opening a dinosaur theme park and designing the world’s first failed hyperloop (but certainly not the last).

More Trending

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GitHub Actions For Machine Learning Beginners

KDnuggets

Learn how to automate machine learning training and evaluation using scikit-learn pipelines, GitHub Actions, and CML.

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Robinhood is now available to all customers in the United Kingdom

Robinhood

The largest UK brokers typically charge UK investors, with a £10,000 portfolio, an average of £240 per year to invest in US stocks*–Robinhood offers no commission fees and no foreign exchange (FX) fees on trades.** Today, we’ve rolled all eligible customers off our waitlist and Robinhood is now officially available throughout the United Kingdom. With Robinhood, customers simply get more for their money, with no commission fees and no foreign exchange (FX) fees on trades, access to more than 6,00

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How to Conduct Data Quality Audits: A Step-by-Step Guide

Monte Carlo

Data quality audits are a key way to ensure your business decisions are being informed by fresh, accurate, and up-to-date data. Data quality audits can help data teams: Identify mistakes: Check for anomalies and discrepancies in data to check how trustworthy it is Understand your data better: Get a comprehensive view of all your datasets across your distributed systems Leverage your data for more impact: Turn your deeper data understanding into better insights for your business stakeholders It

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What is Work Performance Data? Importance, Elements, Tools

Knowledge Hut

How you track and analyze project data is a critical component that can make all the difference in whether a project you manage succeeds or fails. Work performance data is even more important than this process, which is necessary. Work performance data are original measures and details about conditioning gathered during design work( executing). During controlling, these work performance data are analyzed to make sure they conform to the design operation plan and to assess what they mean for the

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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

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7 Free Google Courses to Become a Machine Learning Engineer

KDnuggets

Want to become an ML engineer? These free courses from Google can help you get there.

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Data Engineering: Incremental Data Loading Strategies

Towards Data Science

Outlining strategies and solution architectures to incrementally load data from various data sources.

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Reconciling The Data In Your Databases With Datafold

Data Engineering Podcast

Summary A significant portion of data workflows involve storing and processing information in database engines. Validating that the information is stored and processed correctly can be complex and time-consuming, especially when the source and destination speak different dialects of SQL. In this episode Gleb Mezhanskiy, founder and CEO of Datafold, discusses the different error conditions and solutions that you need to know about to ensure the accuracy of your data.

Database 130
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What is Expected Monetary Value (EMV)? Formula, Example, Benefits

Knowledge Hut

Driving a project through the project lifecycle is like kayaking in a wild river; imagine rowing against the currents on a valley filled with steep ebbs and high tides - doesn’t it sound scary for a moment? Well, talk to a project manager and hear them say one thing in common, “that is routine.” I do not intend to exaggerate, but when projects transition from planning to execution, there is a lot of chaos that demands the project manager's attention to avoid the ups and dow

Project 52
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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Congratulations to the Karuna Team on Thier Acquisiton

DataKitchen

Today, Bristol Myers Squib (BMS) has fully acquired Karuna Therapeutics. We congratulate our customer on their fantastic success. Their product, KarXT, an antipsychotic, is revolutionary and is lined up for an FDA Prescription Drug User Fee Act (PDUFA) in September 2024 for the treatment of schizophrenia in adults. KarXT also has potential for the treatment of Alzheimer’s disease and Bipolar disorder.

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Setting Up Automated Model Training Workflows with AWS S3

Towards Data Science

The Open-Source Approach for Workflow Automation Continue reading on Towards Data Science »

AWS 40
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Logarithm: A logging engine for AI training workflows and services

Engineering at Meta

Systems and application logs play a key role in operations, observability, and debugging workflows at Meta. Logarithm is a hosted, serverless, multitenant service, used only internally at Meta, that consumes and indexes these logs and provides an interactive query interface to retrieve and view logs. In this post, we present the design behind Logarithm, and show how it powers AI training debugging use cases.

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Integrated Change Control: Process, Tools, Benefits, Best Practices

Knowledge Hut

Integrated Change Control (ICC) provides a comprehensive process for reviewing, evaluating, and approving changes to project scope, schedule, and resources. In this blog, I will walk you through the definition, purpose, process, and importance of integrated change control, as well as explore the benefits and best practices associated with it. By the end of this blog, you will have a clear understanding of how to use ICC to maintain project alignment, minimize scope creep, facilitate effective de

Process 52
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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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Why a Solid Data Foundation Is the Key to Successful Gen AI

Snowflake

Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Cost-effective adaptability was essential. And the companies that could scale up or scale down quickly were the ones that navigated the pandemic successfully.

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Control Account in Project Management: Example & How to Measure

Knowledge Hut

Project management is an art, and those who learn to master the subtle tools of communication, collaboration, and stakeholder engagement can only get things done and achieve the desired outcomes. In pursuit of achieving the desired outcomes, situations often go out of hand of the project manager , creating chaos and uncertainty for the project. Given this, the project manager strives to plan the project outcomes by creating a scope baseline and decomposing user requirements and specifications in

Project 52
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What is Budget at Completion (BAC)? Formula, Calculation, Example

Knowledge Hut

The pre-work or project selection process is tedious and demands an all-around check of various factors to take up a project and plan for benefits from the project. One of the earned value management techniques that often comes in to help project management function during planning is determining the budget at completion, which is the sum of all the projected costs of undertaking all the planned project activities.

Project 52
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What is Stack Data Structure? Types, Operations, Implementation

Knowledge Hut

In the field of computer science and programming, whether it's managing data, executing algorithms, or optimizing memory usage, I always required streamlined processes. The stack data structure is a fundamental tool that embodies simplicity and efficiency in data management. Imagine you are in a cafeteria, delicately stacking plates one on top of the other after each use.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Project Management or Data Analytics Which is Better in 2024?

Knowledge Hut

Thinking about working as a data analyst or project manager? Both data analytics and project management are pivotal fields in the business world, with data analysts and project managers each fulfilling indispensable roles within their respective domains. Consequently, the demand for professionals in both data analytics and project management remains exceedingly high in today's business landscape.

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What Does an Information Security Manager Do? Roles and Responsibilities

Knowledge Hut

The information security manager looks at the organization’s policies and procedures to protect sensitive data and digital assets. The information security manager's responsibilities include identifying security threats, developing policies and procedures, establishing security policies, conducting audits, and ensuring compliance with regulatory standards.

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Who is a Software Project Manager? And What do they do?

Knowledge Hut

In recent times, it has become obvious - whether we're part of an organization or just an individual - that technology plays a massive role in everything we do. From how we work to how we connect with others, technology is at the center of it all. And because of this, there's a growing need for different software products and services. But here's the thing: creating these software solutions isn't a walk in the park.

Project 52
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What is Control Scope Process: Overview and Steps

Knowledge Hut

In both personal and professional life, the presence of control is everywhere. From personal financial decisions to more organizational objectives, mastering the art of control is of paramount importance. Now, you may ask queries related to the scope control process and how it works from a business perspective. The control scope process refers to the efficient allocation of work necessary for the proper completion of a project.

Process 52
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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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Mind Mapping in Project Management: Benefits, Use Cases, Tips

Knowledge Hut

Project managers are in charge of planning, executing, monitoring, controlling, and evaluating entire projects. Each of these stages involves many different aspects. As project leaders, we need to be good team leaders, motivators, organizers, and more. Being able to see creative ideas from all team members helps us succeed. PMP Certification programs online help us stay organized and manage timelines, dependencies, and responsibilities effectively.

Project 52
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Contingency Reserve vs Management Reserve: Key Differences

Knowledge Hut

Around 18-19 years back, when I created my first complete and exhaustive project plan independently, I was confident that my team could execute the project successfully without any challenges. It doesn't take much to know that I soon learned of my naivete. I quickly understood why Helmuth von Moltke said that "no plan survives contact with the enemy." My efforts to find the techniques to manage such project risks and challenges that have the potential to derail the entire project bro

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What is Tuckman’s Ladder? Stages, Challenges, Importance

Knowledge Hut

Tuckman's Ladder is more than just a theory; it's a practical roadmap for team development. It guides us through the stages of forming a team, from initial caution to peak efficiency. It reminds us to be patient, emphasizes the importance of leadership, and recognizes the contributions of each team member. By following Tuckman's model, we can create a supportive environment that drives our team toward success.

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Variance at Completion (VAC): Formula, Components, Examples

Knowledge Hut

Projects often operate in extremely volatile environments, and even with agile ways of working, there is often an impact on project baselines of scope, schedule, cost, and quality due to the ever-changing market demands and conditions. No two projects can be alike due to the time factor. However, organizations often apply lessons learned to learn from past mistakes or avoid pitfalls faced in past projects.

Project 52
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A Tale of Two Case Studies: Using LLMs in Production

Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace

Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Some takeaways include: How to test and evaluate results 📊 Why confidence scoring matters 🔐 How to assess cost and quality 🤖 Cross-platform cost vs. quality tr