KDnuggets
OCTOBER 26, 2023
No-code or low-code functionalities in data science have gained significant traction in recent years. These solutions are well-proven and matured, and they make data science more accessible to a wider range of people.
Towards Data Science
OCTOBER 6, 2023
An End-To-End Tutorial for Beginners Continue reading on Towards Data Science »
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The Pragmatic Engineer
OCTOBER 31, 2023
👋 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 three out of seven topics from today’s subscriber-only issue Three Cloud Providers, Three Outages: Three Different Responses.
Christophe Blefari
OCTOBER 19, 2023
cross-project dependencies ( credits ) Over the last few years, dbt has become a de facto standard enabling companies to collaborate easily on data transformations. With dbt, you can apply software engineering practices to SQL development. Managing your SQL patrimony has never been easier. So, yes, dbt is cool but there is a common pattern with it: you accumulate SQL queries.
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Analytics Vidhya
OCTOBER 6, 2023
In today’s rapidly evolving digital landscape, seamless data, applications, and device integration are more pressing than ever. Enter Microsoft Fabric, a cutting-edge solution designed to revolutionize how we interact with technology. This article will explore the key features and benefits, identify the ideal users for this solution, and guide you on when and how to […] The post Introduction of Microsoft Fabric appeared first on Analytics Vidhya.
Marc Lamberti
OCTOBER 4, 2023
Are you looking for a way to choose one task or another? Do you want to execute a task based on a condition? Do you have multiple tasks, but only one should be executed if a criterion is valid? You’ve come to the right place! The BranchPythonOperator does precisely what you are looking for. It’s common to have DAGs with different execution flows, and you want to follow only one, depending on a value or a condition.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Data Engineering Podcast
OCTOBER 29, 2023
Summary Databases are the core of most applications, whether transactional or analytical. In recent years the selection of database products has exploded, making the critical decision of which engine(s) to use even more difficult. In this episode Tanya Bragin shares her experiences as a product manager for two major vendors and the lessons that she has learned about how teams should approach the process of tool selection.
The Pragmatic Engineer
OCTOBER 10, 2023
👋 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 three out of eight topics from today’s deepdive into tech scaleup Chronosphere. To get full issues twice a week, subscribe here.
KDnuggets
OCTOBER 25, 2023
Machine Learning is one of the most exciting fields in computer science today. In this article, we will take a look at the five best yet free books to learn machine learning in 2023.
databricks
OCTOBER 12, 2023
In this blog post, the MosaicML engineering team shares best practices for how to capitalize on popular open source large language models (LLMs).
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.
Marc Lamberti
OCTOBER 1, 2023
Airflow Sensors are one of the most common tasks in data pipelines. Why? Because a Sensor waits for a condition to be true to complete. Do you need to wait for a file? Check if an SQL entry exists? Delay the execution of a DAG? That’s the few possibilities of the Airflow Sensors. If you want to make complex and robust data pipelines, you have to understand how Sensors work genuinely.
Scott Logic
OCTOBER 18, 2023
The State of WebAssembly 2023 survey has closed, the results are in … and they are fascinating! If you want the TL;DR; here are the highlights: Rust and JavaScript usage is continuing to increase, but some more notable changes are happening a little further down - with both Swift and Zig seeing a significant increase in adoption. When it comes to which languages developers ‘desire’, with Zig, Kotlin and C# we see that desirability exceeds current usage WebAssembly is still most often used for we
Data Engineering Podcast
OCTOBER 15, 2023
Summary Building streaming applications has gotten substantially easier over the past several years. Despite this, it is still operationally challenging to deploy and maintain your own stream processing infrastructure. Decodable was built with a mission of eliminating all of the painful aspects of developing and deploying stream processing systems for engineering teams.
Ripple Engineering
OCTOBER 5, 2023
Overview In the rippled 1.12.0 release, the AMM amendment stands out as a significant feature in both size and scope. Since September 2022, the RippleX performance team has collaborated closely with the engineering team responsible for the AMM feature implementation. This report presents a thorough overview of our testing approach, findings, and key takeaways.
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.
KDnuggets
OCTOBER 18, 2023
Large Language Models (LLMs) have unlocked a new era in natural language processing. So why not learn more about them? Go from learning what large language models are to building and deploying LLM apps in 7 easy steps with this guide.
Snowflake
OCTOBER 23, 2023
Python’s popularity has more than doubled in the past decade¹ and it is quickly becoming the preferred language for development across machine learning, application development, pipelines, and more. One of our goals at Snowflake is to ensure we continue to deliver a best-in-class platform for Python developers. Snowflake customers are already harnessing the power of Python through Snowpark , a set of runtimes and libraries that securely deploy and process non-SQL code directly in Snowflake.
LinkedIn Engineering
OCTOBER 5, 2023
Think of how many times a day you use some type of search functionality across your devices and applications to discover information, find a contact, or a new job opportunity. The truth is we all depend on the ability to search for things online, and finding the right match to the information, organization, or to a job that maps to your skills and interests makes all the difference in our experiences and the knowledge we can gain.
Engineering at Meta
OCTOBER 24, 2023
Meta’s Systematic Code and Asset Removal Framework (SCARF) has a subsystem for identifying and removing dead code. SCARF combines static and dynamic analysis of programs to detect dead code from both a business and programming language perspective. SCARF automatically creates change requests that delete the dead code identified from the program analysis, minimizing developer costs.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
databricks
OCTOBER 30, 2023
Introduction Four months ago, we shared how AMD had emerged as a capable platform for generative AI and demonstrated how to easily and.
Confluent
OCTOBER 26, 2023
Read updates and improvements in Apache Flink 1.18, including dynamic fine-grained rescaling via REST API, Java 17 support, and faster rescaling & batch performance improvements.
KDnuggets
OCTOBER 12, 2023
SQL is the essential data science language due to its universal database accessibility, efficient data cleaning capabilities, seamless integration with other languages, and requirement for most data science jobs.
DoorDash Engineering
OCTOBER 19, 2023
As DoorDash’s microservices architecture has grown, so too has the volume of interservice traffic. Each team manages their own data and exposes access through gRPC services, an open-source remote procedure call framework used to build scalable APIs. Most business logic is I/O-bound because of calls to downstream services. Caching has long been a go-to strategy to improve performance and reduce costs.
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LinkedIn Engineering
OCTOBER 19, 2023
Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers. This robust framework empowers near real-time data processing for critical services and platforms, ranging from machine learning and notifications to anti-abuse AI modeling.
ArcGIS
OCTOBER 26, 2023
In October 2023, elevation layers have been updated with high-res datasets of France, New Zealand, USA, Italy along with global bathymetry.
databricks
OCTOBER 31, 2023
Today we're excited to announce MLflow 2.8 supports our LLM-as-a-judge metrics which can help save time and costs while providing an approximation of.
Engineering at Meta
OCTOBER 18, 2023
With the recent launches of MTIA v1 , Meta’s first-generation AI inference accelerator, and Llama 2 , the next generation of Meta’s publicly available large language model, it’s clear that Meta is focused on advancing AI for a more connected world. Fueling the success of these products are world-class infrastructure teams, including Meta’s custom AI silicon team, led by Olivia Wu, a leader in the silicon industry for 30 years.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
KDnuggets
OCTOBER 16, 2023
Want to break into data science? Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning.
Knowledge Hut
OCTOBER 29, 2023
Choosing the best computer science project topic is critical to the success of any computer science student or employee. After all, the more engaging and interesting topic, the more likely it is that students or employees will be able to stay motivated and focused throughout the duration of the project. However, with so many options out there, it can be tough to decide which one is right for you.
Tweag
OCTOBER 25, 2023
Tweag is excited to announce the first release of nixtract 0.1.0 ! This is our first step towards a broader effort to make Nix the best tool to tackle tomorrow’s challenges of the Software Supply Chain. In order to understand why we need nixtract , let me tell you about the “secret” value of Nixpkgs. Is it a bird? A plane? It’s a graph! The Nix language allows you to define the “recipe” to build anything into a package, like the sources and the steps to make the package, but also the dependencie
ArcGIS
OCTOBER 17, 2023
The new U.S. datums of 2022 will soon be released. This article covers what is coming and how you should prepare your data.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
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