Sat.Apr 27, 2024 - Fri.May 03, 2024

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Is the “AI developer”a threat to jobs – or a marketing stunt?

The Pragmatic Engineer

This article was published on 14 March 2024 in The Pragmatic Engineer, for subscribers. I'm sharing this piece in public more than a month later, as it provides important context and analysis for the AI dev tools space. Subscribe to The Pragmatic Engineer to stay up-to-date on what is happening with software engineering, Big Tech, and startups.

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Why did Golang lose to Rust for Data Engineering?

Confessions of a Data Guy

A few years ago I wasn’t sure, who was going to win, Golang seemed to be popular, and still is for that matter. When I first wrote a little Golang (~2+ years ago) I was just trying to see what the hype was all about. The funny thing is, at the time, and today, it […] The post Why did Golang lose to Rust for Data Engineering? appeared first on Confessions of a Data Guy.

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Terms You Should Know If You’re Planning To Use Change Data Capture

Seattle Data Guy

If you’ve worked in data long enough, then you’ve likely come across the term change data capture. Often called CDC, change data capture involves tracking and recording changes in a database as they happen, and then transmitting these changes to designated targets. This can be crucial because some pipelines, in particular batch pipelines, don’t capture… Read more The post Terms You Should Know If You’re Planning To Use Change Data Capture appeared first on Seattle D

Database 130
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How to build a data team

Christophe Blefari

My personal collection of the best resources to bootstrap a data team and get inspired from what others are doing.

Building 130
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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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Introducing Confluent Cloud Freight Clusters

Confluent

Confluent Cloud Freight clusters are now available in Early Access. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.

Cloud 145
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If:Else Logic and Complexity – Hiding the Pea.

Confessions of a Data Guy

I was recently confronted with an interesting conundrum when writing a complex data pipeline. It was an interesting problem that arose from my quest to reduce complexity in part of the design, which found itself creeping into another part, re-enforcing the classic idea of whether you can really make the complexity pea go away, or […] The post If:Else Logic and Complexity – Hiding the Pea. appeared first on Confessions of a Data Guy.

More Trending

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A Notebook is all I want or Don't

Data Engineering Weekly

The tweet received strong reactions on LinkedIn and Twitter. To clarify, I quoted it as a Notebook-style development, but it is not exactly a Notebook. There is a lot of context missing in that tweet, so I decided to write a blog about it. People have reservations about using tools like Jupytor Notebook for the production pipeline for a good reason.

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Moving Beyond MTEB and BEIR: Snowflake AI Research Joins Forces with the University of Waterloo to Evolve RAG and Retrieval Benchmarks

Snowflake

To accurately answer business questions using LLMs, companies must augment models with their data. Retrieval Augmented Generation (RAG) is a popular solution to this problem, as it integrates the organization’s factual, real-time data into the prompt for the LLM. While the adoption of RAG has increased, an open question remains: How do enterprises know how effective their system is?

Cloud 115
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Reaction to Data Engineering Survey for 2024

Confessions of a Data Guy

The post Reaction to Data Engineering Survey for 2024 appeared first on Confessions of a Data Guy.

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5 Simple Steps to Automate Data Cleaning with Python

KDnuggets

Automate your data cleaning process with a practical 5-step pipeline in Python, ideal for beginners.

Python 143
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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Executive Overview: The Rise of Open Foundational Models

databricks

Moving generative AI applications from the proof of concept stage into production requires control, reliability and data governance. Organizations are turning to open.

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Meet the 2024 Snowflake Startup Challenge Finalists

Snowflake

The 2024 Snowflake Startup Challenge began with over 900 applications from startups Powered by Snowflake in more than 100 countries. Our judges narrowed that long list of contenders down to 10, and after much deliberation, they’ve now pared it down to the final three. We are pleased to announce that BigGeo, Scientific Financial Systems and SignalFlare.ai by Extropy360 will advance to the Snowflake Startup Challenge finale and compete for the opportunity to receive a share of up to $1 million in

Media 103
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Reading and Processing JSON with Rust vs Python.

Confessions of a Data Guy

Have you ever wondered about being explicit in your code vs being vague? I think about this a lot as I’m writing code on a daily basis. I’ve found I like being explicit and verbose when writing code, rather than being vague in what I’m doing most of the time. When it comes to debugging […] The post Reading and Processing JSON with Rust vs Python. appeared first on Confessions of a Data Guy.

Python 100
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Avoid These 5 Common Mistakes Every Novice in AI Makes

KDnuggets

Top five mistakes made by AI beginners and practical tips to avoid them, along with an engaging "50-Day Challenge" that you cannot afford to miss.

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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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Why Working Remotely is an Issue with IT Managers?

Knowledge Hut

The work scenario today is stretching workplace flexibilities to accommodate the needs of professionals. Globally stationed offices have also made extending flexible workplaces a norm. Working remotely is the new trend that is transcending industries. While working remotely comes with its own set of benefits, it isn’t well-suited for some industries or professions.

IT 98
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ArcGIS Pro 3.3 Requires WebView2 Runtime (and you probably already have it)

ArcGIS

ArcGIS Pro 3.3 requires WebView2 Runtime as an installation prerequisite. Here's how to make sure you have it.

IT 124
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Google Fires Python. What Next?

Confessions of a Data Guy

What is going on? Is the world coming to an end? I thought Python was going to live forever. Well, apparently not at Google. Recently Google announced it was laying off its entire North American-based Python team that was supporting Google’s special needs with Python, in favor of cheaper offshore workers. Apparently, some of these […] The post Google Fires Python.

Python 100
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Data Science Degrees vs. Courses: The Value Verdict

KDnuggets

Exploring the merits of data science degrees vs courses, this analysis contrasts their depth, prestige, and practicality in job market preparation

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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 Machine Learning and Why It Matters: Everything You Need to Know

Knowledge Hut

If you are a machine learning enthusiast and stay in touch with the latest developments, you would have definitely come across the news “Machine learning identifies links between the world's oceans” Wait, we all know how complex it would be to analyse a concept such as oceans and their behaviour which would undoubtedly involve billions of data points associated with many critical parameters such as wind velocities, temperatures, earth’s rotation and many such.

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Databricks Assistant Tips & Tricks for Data Engineers

databricks

The generative AI revolution is transforming the way that teams work, and Databricks Assistant leverages the best of these advancements. It allows you.

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Top 8 Snowflake Marketplace Questions, Answered

Snowflake

Snowflake Marketplace is designed to give customers and organizations a place to easily find, try and buy data, apps and AI products that help solve their most pressing business problems. We have more than 540 providers, offering over 2,400 live, ready-to-use data products (as of Jan 31, 2024), so there are many options to help you enrich your own data resources, build new data apps and leverage the power of AI on Snowflake.

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5 MLOps Courses from Google to Level Up Your ML Workflow

KDnuggets

Want to build and deploy robust machine learning systems to production? Start learning MLOps today with these courses from Google.

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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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How to install Apache Spark on Windows?

Knowledge Hut

Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python, and R and an optimized engine that supports general execution graphs. It also supports a rich set of higher-level tools, including Spark SQL for SQL and structured data processing, MLlib for machine learning, GraphX for graph processing, and Spark Streaming.

Java 98
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Calibrating the Mosaic Evaluation Gauntlet

databricks

A good benchmark is one that clearly shows which models are better and which are worse. The Databricks Mosaic Research team is dedicated.

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How the EU’s Digital Operations Resilience Act (DORA) Aims To Strengthen Operational Resilience in Financial Services 

Snowflake

As the cybersecurity threat landscape continues to evolve globally, organizations operating in the financial sector are seeing regulations shift to address the associated risks, and none may prove more impactful than the European Union’s (EU) Digital Operational Resilience Act (DORA). This regulation aims to strengthen the operational resilience of financial entities (FEs), and their third-party information and communication technology (ICT) providers.

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Free Python Resources That Can Help You Become a Pro

KDnuggets

This is a collection of free courses, books, projects, repositories, cheat sheets, and online compilers on Python to help you get started and gain experience.

Python 99
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Future Proof Your Career With Data Skills

Knowledge Hut

Data is everywhere, and we have all seen exponential growth in the data that is generated daily. I nformation must be extracted from this data to make sense of it, and we must gain insights from th is information that will help us to understand repeating patterns. Analysing these patterns will help us to know more about consumer s and their behaviour, hence provide services and manufacture products that will benefit both the organization as well as the consumers.

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Intelligently Balance Cost Optimization & Reliability on Databricks

databricks

The Databricks Data Intelligence Platform offers unparalleled flexibility, allowing users to access nearly instant, horizontally scalable compute resources. This ease of creation can.

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BazelDay Amsterdam 2024 at Booking.com

Booking.com Engineering

On 25 March, Booking.com joined forces with Engflow Inc to organize and host Amsterdam’s first ever first Bazel Community Day. Booking.com’s brand new headquarters welcomed over 70 attendees from different companies and backgrounds, for an afternoon of connection, talks, and an unconference in which 3 topics were discussed. A productive, insightful afternoon, all capped off with a campus tour and drinks overlooking the Amsterdam skyline from Oosterdok Island. 4 keynote speakers took to the stage

Cloud 80
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Containerize Python Apps with Docker in 5 Easy Steps

KDnuggets

Get up and running with Docker with this tutorial on containerizing Python applications.

Python 121
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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.