Mon.Mar 18, 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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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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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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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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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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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.

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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.

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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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How to Implement Risk Response? [Step-by-Step]

Knowledge Hut

Implementing risk response is crucial to effective risk management within any organization. Businesses have an environment that keeps changing. They keep encountering various uncertainties. The ability to implement risk responses has become paramount for achieving strategic objectives. It allows for a timely response to these risks. Risk response involves a systematic approach to address potential threats that may impact the organization’s goals.

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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 »

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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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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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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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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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Build AI-powered Recommendations with Confluent Cloud for Apache Flink® and Rockset

Rockset

Today, Confluent announced the general availability of its serverless Apache Flink service. Flink is one of the most popular stream processing technologies, ranked as a top five Apache project and backed by a diverse committer community including Alibaba and Apple. It powers steam processing at many companies including Uber, Netflix, and Linkedin. Rockset customers using Flink often share how challenging it is to self-manage Flink for streaming transformations.

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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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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

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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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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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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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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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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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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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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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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.

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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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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 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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How to Change Career to Project Management in 2024: Step-by-Step guide

Knowledge Hut

Transitioning to a professional project management career can be both exciting and intimidating for aspiring individuals. Having experienced this transition myself, I can understand how your mind races when thinking about how to change your career to project management. I can help you understand how to gain experience in projects, ensuring a smooth entry into the field as a project manager.

Project 52
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Microsoft Azure Advantages and Disadvantages

Knowledge Hut

Businesses are turning to cloud computing in the digital age to gain scalability, safe storage in one location, and simplified processes. That is to say, rather than erecting expensive data centre infrastructure, firms are selecting cloud service providers. These kinds of infrastructures enable companies to multiply, adapt to demand, and continue providing uninterrupted customer service.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.