Thu.Mar 23, 2023

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Is there a drop in software engineer job openings, globally?

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of five topics in today’s subscriber-only The Scoop issue. To get full issues twice a week, subscribe here. There’s plenty of news and anecdotal evidence suggesting the jobs market for software engineers is cooling. In October 2022, I wrote about the start of a Big Tech hiring slowdown.

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Worth reading for data engineers - part 2

Waitingforcode

Welcome to the 2nd part of the series with great streaming and project organization blog posts summaries!

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Top 15 YouTube Channels to Level Up Your Machine Learning Skills

KDnuggets

Machine learning is the key driver of innovation and progress but finding the right resources to learn can be a tiring process. Save time searching aimlessly, and take advantage of our curated list of the top 15 YouTube channels to jumpstart your journey.

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Top 30+ Project Management (PMP) Terms - Every Project Manager Should Know

Knowledge Hut

Project management is vital to the success of any company. It is responsible for keeping all project details organized, prioritized, and on track to meet deadlines and ensure quality. It also has a lot of influence over whether or not a project is completed successfully. If you're an entrepreneur looking to build your business, you'll want to ensure your project management has the skills necessary to keep things on track.

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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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Demand and ETR Forecasting at Airports

Uber Engineering

In this post we will dive into the algorithm, data modeling, and system design that go into estimating the length of time drivers would have to wait for a trip request at a given location, empowering them to strategically remain or reposition.

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Data Quality Dimensions: Assuring Your Data Quality with Great Expectations

KDnuggets

This article highlights the significance of ensuring high-quality data and presents six key dimensions for measuring it. These dimensions include Completeness, Consistency, Integrity, Timelessness, Uniqueness, and Validity.

More Trending

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How Monte Carlo’s New Jira Integration Streamlines Ticketing Workflows

Monte Carlo

At Monte Carlo, our goal is always to build and support integrations that elevate our customer’s existing data engineering workflows. We don’t want to reinvent the wheel—we want to help your existing wheels spin faster. So, when you asked for a Jira integration to support your existing ticketing workflows, our team got to work. And they didn’t disappoint.

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Unlock Your Potential with This FREE DevOps Crash Course

KDnuggets

Learn DevOps from the best in the industry and take the first step towards unlocking your full potential. Register for the DevOps Crash Course HERE!

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Audit_helper in dbt: Bringing data auditing to a higher level

dbt Developer Hub

Auditing tables is a major part of analytics engineers’ daily tasks, especially when refactoring tables that were built using SQL Stored Procedures or Alteryx Workflows. In this article, we present how the audit_helper package can (as the name suggests) help the table auditing process to make sure a refactored model provides (pretty much) the same output as the original one, based on our experience using this package to support our clients at Indicium Tech®.

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Google Answer to ChatGPT by Adding Generative AI into Docs and Gmail

KDnuggets

What does Google have in the works for Google Docs and Gmail? How will this benefit you and your business?

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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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Stream Processing in Your Native Tongue

Confluent

Stream processors work best in just one programming language. Here’s one way languages can communicate efficiently, removing the trade-off between power and comfort.

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Optimize Data Warehouse Storage with Views and Tables

Towards Data Science

The difference between tables and views and how to use them Continue reading on Towards Data Science »

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The 12 Best Data Replication Softwares

Hevo

With the number of users trying to access the data more frequently and parallelly, ensuring high data availability is one of the biggest challenges organizations face today. Data Replication triggers an organized mechanism to optimize data availability. It’s time-consuming to write custom scripts for every data source to transfer data from source to destination.

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6 Top Predictions for 2023

Ascend.io

There’s no other way to put it: companies are already having a very sobered 2023. Companies are tightening their budgets — even more than they already did in late 2022. Their board and investors are putting immense pressure on them to do more with less. To focus on impact, outcomes, and efficiency. Below, I draw on my prior knowledge, discussions with customers, and conversations with other leaders to outline six key data engineering trends to be aware of (and capitalize on) in 2023. 1.

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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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Why You Need Data Integrity for ESG Reporting

Precisely

Is your company making commitments to environmental, social, and governance (ESG) efforts? How are you quantifying those results, and can you make sure you have the most accurate and current data? The latter question holds the issue for many – while it’s easy to add, messaging and imagery on your website, products, and beyond, things become more difficult when reporting and compliance for those efforts come into the picture.

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Using ChatGPT for Webpage Construction

KDnuggets

Can ChatGPT create webpages? Let's take it to task and find out.

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Follow the rules: Territory validation in ArcGIS Business Analyst Pro

ArcGIS

Ensure territory validation by employing Validate Territory rules and constraints in ArcGIS Business Analyst Pro's Territory Design.

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Unified Streaming And Batch Pipelines At LinkedIn: Reducing Processing time by 94% with Apache Beam

LinkedIn Engineering

Co-Authors: Yuhong Cheng , Shangjin Zhang , Xinyu Liu, and Yi Pan Efficient data processing is crucial in reducing learning curves, simplifying maintenance efforts, and decreasing operational complexity. This, in turn, helps engineers to develop and deploy data processing applications quickly and easily, powering various business requirements, and enhancing member experience on LinkedIn.

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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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The Ultimate Guide to Becoming a Flutter Developer: Everything You Need to Know

Edureka

Flutter is currently a popular topic in the industry, and many companies are seeking Flutter developers. If you’re interested in learning how to develop Flutter apps, then this “How to become a flutter developer” blog is for you. The roadmap in this blog will help you to know where to start and become a Flutter developer. Let’s begin!

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Materialized Views in SQL Stream Builder

Cloudera

What is a materialized view? Cloudera SQL Stream Builder (SSB) gives the power of a unified stream processing engine to non-technical users so they can integrate, aggregate, query, and analyze both streaming and batch data sources in a single SQL interface. This allows business users to define events of interest for which they need to continuously monitor and respond quickly.

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How to Becoming a Flutter Developer? : Everything You Need to Know

Edureka

Flutter is currently a popular topic in the industry, and many companies are seeking Flutter developers. If you’re interested in learning how to develop Flutter apps, then this “How to become a flutter developer” blog is for you. The roadmap in this blog will help you to know where to start and become a Flutter developer. Let’s begin!

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Hello Dolly: Democratizing the magic of ChatGPT with open models

databricks

Summary We show that anyone can take a dated off-the-shelf open source large language model (LLM) and give it magical ChatGPT-like instruction following.

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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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How Snowflake Delivers on the National Cybersecurity Strategy

Snowflake

Data is an asset and it is imperative to keep it safe. This is why security is a core designing principle of Snowflake, it’s always on, and that removes the need for users to intervene. Snowflake actively partners with government agencies and the industrial and academic sectors that support them, in order to prevent global cybercrimes. All of this makes the Snowflake Data Cloud a key platform to support critical infrastructure sectors and exceed relevant standards such as Cybersecurity and Infra