Tue.Mar 12, 2024

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The “10x engineer:" 50 years ago and now

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of five topics from today’s subscriber-only article What Changed in 50 Years of Computing.

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Keeping track of engineering-wide goals and migrations

Yelp Engineering

What is Engineering Effectiveness Metrics (EE Metrics)? EE Metrics was envisioned as a hub that helps teams manage their technical debt. EE Metrics provides every team with a detailed web page that contains information about technical debt that needs to be addressed. It also serves as a platform to highlight top engineering initiatives at the organization level.

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Benefits of PMP Certification for Professionals and Employers

Knowledge Hut

Project managers are in high demand, and companies are willing to pay top dollar for qualified individuals. In today's fast-paced business world, having a Project Management Professional (PMP) certification can give you a significant advantage over other job candidates. As per the PMI statistics, a certified PMP is entitled to a pay increase of 20%.

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5 Free University Courses to Learn Computer Science

KDnuggets

Want to switch to a tech career? Make it happen with these free computer science courses.

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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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Real-Time Data Streaming for Smart Warehouses

Confluent

Leverage Confluent Data Streaming Platform to bring real time to your smart warehouse, powering greater IoT automation, efficiency and cost savings.

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7 GPTs to Help Improve Your Data Science Workflow

KDnuggets

Don’t sleep on these GPTs from the GPT Store.

More Trending

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Transforming the Road: Generative AI in Intelligent Driver Care

RandomTrees

Introduction: In the ever-evolving landscape of automotive technology, the integration of artificial intelligence has reached new heights. One of the most promising applications is the use of Generative Artificial Intelligence (Generative AI) in the realm of Intelligent Driver Care. In this blog post, we’ll explore how Generative AI is revolutionizing the way we approach driver assistance, safety, and overall well-being on the road.

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Automating Relevance Tuning for Event Search

Eventbrite Engineering

Authored by: Zelal Gungordu and Delaine Wendling. 1 Background Relevance tuning is the process of making incremental changes to a search algorithm to improve the ranking of search results to better meet the information needs and preferences of users. Ideally, each such change would improve the quality of results, which can be measured using engagement … Continue reading "Automating Relevance Tuning for Event Search" The post Automating Relevance Tuning for Event Search appeared first on En

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B2B Data Enrichment for Beginners

Precisely

Your competitors use data to target your customers, discover unmet needs, and explore new markets. If you’re not using data to your advantage, you risk falling behind the rest of the pack. In a 2023 survey conducted by Gartner , customer service and support leaders cited customer data and analytics as a top priority for achieving their organizational goals.

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9 Ways to Improve Your Dataplex Auto Data Quality Scans

Monte Carlo

Google Cloud’s Dataplex is a data fabric tool that enables organizations to discover, manage, monitor, and govern their data across all of their data systems, including their data lakes, data warehouses, data lakehouses, and data marts. With Dataplex, teams get lineage and visibility into their data management no matter where it’s housed, centralizing the security, governance, search and discovery across potentially distributed systems.

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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 Long Short Term Memory (LSTM) - Complete Guide

Knowledge Hut

What is Long Short-Term Memory (LSTM)? This question has been asked lately with the release of several new smartphones and devices that include LSTM technology. While LSTM hasn't quite hit the mainstream yet, it's something you should be familiar with. In this post, we'll take a detailed look at what LSTM is and how it works. We'll also explore some of the benefits of using LSTM and discuss possible applications for this innovative technology.

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How to make a hexagonal cartogram in ArcGIS Pro

ArcGIS

It's a map! It's a chart! It's a chart-map!

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Automation Test Engineer Salary in 2024

Knowledge Hut

Quality assurance in the product and development cycle is non-negotiable. It is one of the most essential parts of the process that can make or break your product. Having been in this field for quite some time, I know that quality assurance technologies are evolving rapidly. One of the most recent and widely followed trends in Q&A is automation testing - an automated version of manual software testing and evaluation.

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Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software

DataKitchen

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. Reducing the errors your customers find and those they do not are key success metrics of Data Observability Using DataKitchen DataOps Observability and DataOps TestGen.

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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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Principal Engineer Salary in 2024 [Freshers to Experienced]

Knowledge Hut

Engineering is an expansive process. It includes everything from problem definition, research, product design, development, and evaluation. I have been in this field for a long time, and after years of experience and learning, I now have a leadership role in this process as a principal engineer. I have been responsible for managing engineering projects from start to finish.

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Building Meta’s GenAI Infrastructure

Engineering at Meta

Marking a major investment in Meta’s AI future, we are announcing two 24k GPU clusters. We are sharing details on the hardware, network, storage, design, performance, and software that help us extract high throughput and reliability for various AI workloads. We use this cluster design for Llama 3 training. We are strongly committed to open compute and open source.

Building 145
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Associate Software Engineer Salary in 2024 [Fresher to Experienced]

Knowledge Hut

We all know - software engineers are among the highest-paid professionals in the world. This is why I started pursuing software-driven roles. However, venturing into software development was challenging, especially as a fresher. This is because I was responsible for more significant projects, managing multidisciplinary teams and collaborating with stakeholders simultaneously.

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Lyft’s Reinforcement Learning Platform

Lyft Engineering

Summary At Lyft we have built a platform for developing, training and serving Reinforcement Learning models for typical internet industry applications with a focus on Contextual Bandits. Those models have been critical for decision making problems that other techniques such as supervised learning or optimization models struggled with. In this article we describe how we extended our existing machine learning ecosystem to support Reinforcement Learning models, develop models using Off-Policy Evalu

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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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Transition From Software Engineer to Product Manager: Step-by-Step Guide

Knowledge Hut

As more and more companies need software, some interesting changes are happening in the tech world. A recent report from LinkedIn says that 25% more software engineers become product managers in the last three years. But why is this happening? Is it because people want to lead in making products, or do they want more say in how a company works? This blog post aims to assist software engineers considering a transition to product management by providing straightforward explanations.

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Processing time trigger, to be or not to be?

Waitingforcode

That's the question. The lack of the processing time trigger means more a reactive micro-batch triggering but it cannot be considered as the single true best practice. Let's see why.

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Artificial Intelligence Salary in India [For Beginners & Experienced] in 2024

Knowledge Hut

Artificial intelligence has become tremendously popular in recent years, taking the internet by storm. The size of the Indian artificial intelligence market is projected to reach US$5.47 billion (Source: Statista) by the end of this year, which has substantially increased demand for AI jobs. This makes me believe that a career in AI is one to seek vigorously, as the market is expanding by the day!

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Improving ETAs with Multi-Task Models, Deep Learning, and Probabilistic Forecasts

DoorDash Engineering

The DoorDash ETA team is committed to providing an accurate and reliable estimated time of arrival (ETA) as a cornerstone DoorDash consumer experience. We want to ensure that every customer can trust our ETAs, ensuring a high-quality experience in which their food arrives on time every time. With more than 2 billion orders annually, our dynamic engineering challenge is to improve and maintain accuracy at scale while managing a variety of conditions within diverse delivery and merchant scenarios.

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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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Machine Learning Expert Salary in India [Fresher to Experienced]

Knowledge Hut

In today’s fast-paced technological world, the need for qualified machine learning specialists in India is growing. Machine learning experts are becoming increasingly important as artificial intelligence transforms more and more sectors. In this article, I will walk you through the complex world of machine learning expert salaries in India and examine pay scales, industry standards, and earning potential determining variables.

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Now Featuring: Orchestration Lineage

Monte Carlo

Data pipelines get complex quickly. A pipeline supporting a single critical use case may be ingesting data from dozens of sources and refining it via multiple layers of transformation across hundreds of tables. Just like with mathematical equations, the order of operations matter. If there is a delay or failure in one part of this intricate web of tasks, then a cascade of data issues is around the corner.

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How to Become a Hacker for the Government in 2024?

Knowledge Hut

An interesting and fulfilling job choice can be working as a government hacker. Hackers can explore a variety of opportunities. Capable people are being randomly selected by the government. These experts are undoubtedly necessary for the authority to maintain the security of its networks. Though challenging at times, government hacking presents an exciting blend of technological know-how, security knowledge, and investigative work.

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Mainframes vs Midrange Servers: What’s the Difference, Anyway?

Precisely

Mainframe and midrange servers are probably among the least understood systems among today’s IT professionals. in IT, due in part to the fact that many people just lump them into a single category, unclear about the distinctions between them. Unless you work with mainframes or midrange servers specifically, you probably think of them as old-school systems with very different technical specifications, administration, and software.

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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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AWS Solutions Architect Salary in India [2024 Updated]

Knowledge Hut

I’m an AWS Solutions Architect in India. I started my journey not long ago, exploring the world of AWS on a crisp morning. Little did I know it would reshape my career and open doors to endless possibilities in cloud computing. Now, let’s talk about the question on many minds – the AWS solution architect jobs salary in India. As I became engrossed in designing robust cloud solutions, my curiosity about the earning potential naturally followed.

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Mapbox Snowflake Native App Opens Geospatial Analytics to New Audiences 

Snowflake

Geospatial data can give a business a competitive edge — especially when it’s combined with the company’s own data resources. Considering a new store location? You’ll want to analyze not just where your nearest competitors and potential customers are, but also retail footfall numbers, historical traffic patterns, distance from distribution centers, environmental factors, potential delivery times to customers and more.

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Product Manager Salary in India in 2024 [Fresher to Experienced]

Knowledge Hut

With technology and innovation driving today's fast-changing corporate environment, the role of a product manager is crucial. Understanding the many aspects that influence a product manager's salary in India is vital for both experienced professionals and aspiring professionals. From what I've learned, grasping how a particular industry works involves examining how job titles influence salaries, exploring the impact of experience, and understanding how business knowledge is related t

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Democratizing Finance With the Customer Experience Representative Pathways Program

Robinhood

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information and investing. Together, we are building products and services that help create a financial system everyone can participate in. … We sat down for a virtual chat with Robinhoodies Cody Borsellino and Tyler Vatcoskay to discuss their work on the Customer Experience Represent

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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.