Confessions of a Data Guy
JANUARY 19, 2023
I remember those days, oh so long ago, it seems like another lifetime. I haven’t used Pandas in many a year, decades, or whatever. We’ve all been there, done that. Pandas I mean. I would dare say it’s a rite of passage for most data folk. For those using Python, it’s probably one of the […] The post Replacing Pandas with Polars.
KDnuggets
MAY 24, 2023
When it's all said and done, and AI has been universally recognized as our rightful overlords, the idea of data science as a standalone field will have been but a blip on our collective radar.
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Start Data Engineering
NOVEMBER 14, 2023
1. Introduction 2. What is an Open Table Format (OTF) 3. Why use an Open Table Format (OTF) 3.0. Setup 3.1. Evolve data and partition schema without reprocessing 3.2. See previous point-in-time table state, aka time travel 3.3. Git like branches & tags for your tables 3.4. Handle multiple reads & writes concurrently 4. Conclusion 5. Further reading 6.
Rock the JVM
SEPTEMBER 17, 2023
By Lucas Nouguier Hey everyone, Daniel here. Lucas’ story is shared by lots of beginner Scala developers, which is why I wanted to post it here on the blog. I’ve watched thousands of developers learn Scala from scratch, and, like Lucas, they love it! If you want to learn Scala well and fast, take a look at my Scala Essentials course at Rock the JVM.
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.
Confluent
MARCH 28, 2023
The future of data is real time and enriched by machine learning. How can we overcome socio-technical blockers and unite the ML and data streaming markets?
Confessions of a Data Guy
FEBRUARY 26, 2023
Save money, save money!! Hear Hear! Someone on Linkedin recently brought up the point that companies could save gobs of money by swapping out AWS Python lambdas for Rust ones. While it raised the ire of many a Python Data Engineer, I thought it sounded like a great idea. At least it’s an excuse to […] The post AWS Lambdas – Python vs Rust.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
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.
Netflix Tech
JUNE 1, 2023
By Jose Fernandez , Ed Barker , Hank Jacobs Introduction In November 2022, we introduced a brand new tier — Basic with ads. This tier extended existing infrastructure by adding new backend components and a new remote call to our ads partner on the playback path. As we were gearing up for launch, we wanted to ensure it would go as smoothly as possible.
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.
The Pragmatic Engineer
JUNE 1, 2023
👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of four topics in today’s subscriber-only The Scoop issue. If you’re not yet a full subscriber, you missed this week’s deep-dive on Agoda’s private cloud setup. To get the full issues, twice a week, subscribe here.
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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?
Analytics Vidhya
FEBRUARY 28, 2023
Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud. A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. In this blog post, we will take a closer look at Azure Databricks, its key features, […] The post Azure Databricks: A Comprehensive Guide appeared first on Analytics Vidhya.
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
Engineering at Meta
DECEMBER 19, 2023
On July 5, 2023, Meta launched Threads, the newest product in our family of apps, to an unprecedented success that saw it garner over 100 million sign ups in its first five days. A small, nimble team of engineers built Threads over the course of only five months of technical work. While the app’s production launch had been under consideration for some time, the business finally made the decision and informed the infrastructure teams to prepare for its launch with only two days’ advance notice.
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.
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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.
dbt Developer Hub
APRIL 19, 2023
Dimensional modeling is one of many data modeling techniques that are used by data practitioners to organize and present data for analytics. Other data modeling techniques include Data Vault (DV), Third Normal Form (3NF), and One Big Table (OBT) to name a few. Data modeling techniques on a normalization vs denormalization scale While the relevancy of dimensional modeling has been debated by data practitioners , it is still one of the most widely adopted data modeling technique for analytics.
Zalando Engineering
NOVEMBER 8, 2023
Introduction This blog post describes a recent contribution from Zalando to the Postgres JDBC driver to address a long-standing issue with the driver’s integration with Postgres’ logical replication that resulted in runaway Write-Ahead Log (WAL) growth. We will describe the issue, how it affected us at Zalando, and detail the fix made upstream in the JDBC driver that fixes the issue for Debezium and all other clients of the Postgres JDBC driver.
Rock the JVM
FEBRUARY 22, 2023
Another tour de force by Riccardo Cardin. Riccardo is a proud alumnus of Rock the JVM, now a senior engineer working on critical systems written in Java, Scala and Kotlin. Version 19 of Java came at the end of 2022, bringing us a lot of exciting stuff. One of the coolest is the preview of some hot topics concerning Project Loom: virtual threads ( JEP 425 ) and structured concurrency ( JEP 428 ).
KDnuggets
JUNE 16, 2023
Artificial Intelligence has been witnessing monumental growth in bridging the gap between the capabilities of humans and machines. Researchers and enthusiasts alike, work on numerous aspects of the field to make amazing things happen. One of many such areas is the domain of Computer Vision.
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.
Rockset
MARCH 1, 2023
Every database built for real-time analytics has a fundamental limitation. When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. These two parts running on the same compute unit is what makes the database real-time: queries can reflect the effect of the new data that was just ingested.
Confluent
JANUARY 6, 2023
Introducing fully managed Apache Kafka® + Flink for the most robust, cloud-native data streaming platform with stream processing, integration, and streaming analytics in one.
The Pragmatic Engineer
DECEMBER 2, 2023
For 3 years straight, the DevTernity conference listed non-existent Coinbase employees as featured speakers. When were they added and what could have the motivation been? Three featured speakers listed at DevTernity 2021, 2022 and 2023, and JDKon 2024. These people do not exist. A year ago, I spent months doing an investigative report on how UK events tech company Pollen had its staff work for free, as it had run out of money but still kept operating.
databricks
DECEMBER 6, 2023
Retrieval-Augmented-Generation (RAG) has quickly emerged as a powerful way to incorporate proprietary, real-time data into Large Language Model (LLM) applications. Today we are.
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.
Tweag
JULY 5, 2023
Meta recently announced they have made Buck2 open-source. Buck2 is a from-scratch rewrite of Buck , a polyglot, monorepo build system that was developed and used at Meta (Facebook), and shares a few similarities with Bazel. As you may know, the Scalable Builds Group at Tweag has a strong interest in such scalable build systems. We were thrilled to have the opportunity to work with Meta on Buck2 to help make the tool useful and successful in the open-source use case.
Engineering at Meta
SEPTEMBER 7, 2023
Earlier this year, a small team of engineers at Meta started working on an idea for a new app. It would have all the features people expect from a text-based conversations app, but with one very key, distinctive goal – being an app that would allow people to share their content across multiple platforms. We wanted to build a decentralized (or federated) app that would enable people to post content that is viewable by anyone on other social apps, and vice versa.
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.
Netflix Tech
MAY 4, 2023
Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience.
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.
DoorDash Engineering
MARCH 14, 2023
When dealing with failures in a microservice system, localized mitigation mechanisms like load shedding and circuit breakers have always been used, but they may not be as effective as a more globalized approach. These localized mechanisms ( as demonstrated in a systematic study on the subject published at SoCC 2022 ) are useful in preventing individual services from being overloaded, but they are not very effective in dealing with complex failures that involve interactions between services, whic
Lyft Engineering
MARCH 27, 2023
Authors: Remco van Bree , Ben Radler Contributors : Alex Ilyenko , Ben Radler , Francisco Souza , Garrett Heel , Nathan Hsieh , Remco van Bree , Shu Zheng , Alex Hartwell , Brian Witt “Load testing in production is great.” We know what you’re thinking — testing in production is one of the cardinal sins of software development. However, at Lyft we have come to realize that load testing in production is a powerful tool to prepare systems for unexpected bursty traffic and peak events.
KDnuggets
MARCH 30, 2023
Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.
ArcGIS
DECEMBER 4, 2023
It's that time of year to warm ourselves beside the electric hum of a plastic filament printer and fall into the joy of making.
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