The Pragmatic Engineer
NOVEMBER 17, 2022
👋 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 this newsletter every week, subscribe here. This article was updated in December 2022. In the midst of gloomy news about hiring freezes and layoffs, let's highlight companies which are growing and hiring.
Christophe Blefari
NOVEMBER 25, 2022
Capturing the news ( credits ) Hello you, I hope this data news finds you well. Time flies to be honest. I've launched in a rush an Advent of Data. The goal is simple, in December: 24 data people will produce 24 data gems. Every day a new piece of content will be release on a dedicated website. If you wanna join the initiative please reply, we are still looking for a few slots to be filled in.
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Marc Lamberti
NOVEMBER 23, 2022
DuckDB is an in-process OLAP DBMS written in C++ blah blah blah, too complicated. Let’s start simple, shall we? DuckDB is the SQLite for Analytics. It has no dependencies, is extremely easy to set up, and is optimized to perform queries on data. In this hands-on tutorial, you will learn what DuckDB is, how to use it, and why it is essential for you.
Data Engineering Podcast
NOVEMBER 20, 2022
Summary The problems that are easiest to fix are the ones that you prevent from happening in the first place. Sifflet is a platform that brings your entire data stack into focus to improve the reliability of your data assets and empower collaboration across your teams. In this episode CEO and founder Salma Bakouk shares her views on the causes and impacts of "data entropy" and how you can tame it before it leads to failures.
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.
Confessions of a Data Guy
NOVEMBER 16, 2022
Ok, so I don’t really mean all that. Or do I? I have no idea what the future holds. Sometimes it’s easy to pick out the winners, like Databricks and Snowflake, you can see, feel, and taste the results of those data products, a delicious and delectable bounty to feast upon. Other things are harder […] The post A Diatribe against Data Contracts and their Abuses. appeared first on Confessions of a Data Guy.
Jesse Anderson
NOVEMBER 15, 2022
My guest this week is Kulani Likotsi , the Head of Data Management and Data Governance at one of the four biggest banks in Africa. She’s had a rising career journey going from an analyst, to a Business Intelligence developer, to the data warehouse team, to the data governance team. I was impressed with Kulani’s volunteer spirit. Whenever there was a need, she volunteered.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Christophe Blefari
NOVEMBER 18, 2022
Scracthing the surface ( credits ) Hey you, a new Friday means data news. This week feels a bit like old data news with a variety of articles on different cool topics while I navigate through the actual data trends. Next Monday I'll present "How to build a data dream team" at Y42 meetup. I'll share in next week edition a written form of my talk.
KDnuggets
NOVEMBER 23, 2022
There exist so many great computational tools available for Data Scientists to perform their work. However, mathematical skills are still essential in data science and machine learning because these tools will only be black-boxes for which you will not be able to ask core analytical questions without a theoretical foundation.
Data Engineering Podcast
NOVEMBER 20, 2022
Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. In this episode Ian Schweer shares his experiences at Riot Games supporting player-focused features such as machine learning models and recommeder systems that are deployed as part of the game binary.
Confessions of a Data Guy
NOVEMBER 5, 2022
There are probably few things in life that will strike more fear and tumult in the heart of the Data Engineer than historical loads. You know, on the surface it seems like such an innocent thing. How could it possibly be, just take a bunch of data stored somewhere and shove it into a table. […] The post Introduction to Historical Loads – for Data Engineers. appeared first on Confessions of a Data Guy.
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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?
Jesse Anderson
NOVEMBER 2, 2022
My guest this week is Erick Webbe , Head of Data Science at bol.com. Bol.com is the biggest online retailer in northwestern Europe, serving about 12 million customers, as a general retailer similar to Amazon.com. Erick has a Master’s degree in Applied Physics. His background in physics forms a basis for his philosophy on life and work. That’s a “philosophy that I still apply to my work every single day […] we think about how we can best help them overcome that problem or solve it, and then
The Pragmatic Engineer
NOVEMBER 16, 2022
I get a lot of scoop sent by readers (thank you!). Sadly, in 2022, a good part of the scoop is about companies laying off people. Some of this scoop has not been reported before. I don't want to broadcast layoffs on Twitter or LinkedIn continuously, but also don't want this information to be lost. This page collects scoops I receive, some of which might not have been reported elsewhere.
Christophe Blefari
NOVEMBER 11, 2022
Mastodon and Hadoop are on a boat. ( credits ) Hey you, 11th of November was usually off for me. Since I've started my freelancing activities I don't really follow the usual calendar, working whenever I need/want. I mainly work 3 to 4 days a week. Which is awesome but it has a major drawback I never took a break longer than 1 week. Which, yeah, kinda sucks.
KDnuggets
NOVEMBER 18, 2022
The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.
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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.
Data Engineering Podcast
NOVEMBER 13, 2022
Summary Building data products is an undertaking that has historically required substantial investments of time and talent. With the rise in cloud platforms and self-serve data technologies the barrier of entry is dropping. Shane Gibson co-founded AgileData to make analytics accessible to companies of all sizes. In this episode he explains the design of the platform and how it builds on agile development principles to help you focus on delivering value.
Confluent
NOVEMBER 29, 2022
Apache Kafka’s Streams API embeds Machine Learning into any app or microservice (Java, Docker, Kubernetes, etc.) to add business value.
Netflix Tech
NOVEMBER 11, 2022
By Soheil Esmaeilzadeh , Negin Salajegheh , Amir Ziai , Jeff Boote Introduction Streaming services serve content to millions of users all over the world. These services allow users to stream or download content across a broad category of devices including mobile phones, laptops, and televisions. However, some restrictions are in place, such as the number of active devices, the number of streams, and the number of downloaded titles.
The Pragmatic Engineer
NOVEMBER 10, 2022
👋 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 this newsletter every week, subscribe here. Last Thursday, I covered the turmoil at Twitter , of how people worked long hours through the weekend and how most expected layoffs of about 50%.
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.
Teradata
NOVEMBER 17, 2022
"Doing more with less” is a familiar refrain echoing through the halls of many organizations. To answer this call, businesses are searching for efficiency gains & turning to data to unlock savings.
KDnuggets
NOVEMBER 16, 2022
While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best. One powerful method is to evolve your learning from simple practice into complex foundations, as outlined in this learning path recommended by a physicist who turned into a Data Scientist.
Data Engineering Podcast
NOVEMBER 6, 2022
Summary A lot of the work that goes into data engineering is trying to make sense of the "data exhaust" from other applications and services. There is an undeniable amount of value and utility in that information, but it also introduces significant cost and time requirements. In this episode Nick King discusses how you can be intentional about data creation in your applications and services to reduce the friction and errors involved in building data products and ML applications.
Confluent
NOVEMBER 30, 2022
What is stream processing, or complex event processing (CEP), and how does it work? Learn about real-time data and event stream analytics in this tutorial.
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.
Netflix Tech
NOVEMBER 17, 2022
by Christos G. Bampis , Li-Heng Chen and Zhi Li When you are binge-watching the latest season of Stranger Things or Ozark, we strive to deliver the best possible video quality to your eyes. To do so, we continuously push the boundaries of streaming video quality and leverage the best video technologies. For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations.
The Pragmatic Engineer
NOVEMBER 3, 2022
👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. We cover one out of six topics in today’s subscriber-only The Scoop issue. To get this newsletter every week, subscribe here. On Wednesday, 26 October, Elon Musk entered Twitter’s headquarters in San Francisco with a sink, marking his arrival at the company he’d just bought.
Teradata
NOVEMBER 30, 2022
Teradata has joined the Amazon SageMaker Ready Program which differentiates Teradata as an AWS Partner Network member with a product that works with Amazon SageMaker & fully supports AWS customers.
KDnuggets
NOVEMBER 2, 2022
A data engineer is a fast-growing profession with amazing challenges and rewards. Which skills do you need to become a data engineer? In this post, we’ll take a look at both hard and soft skills.
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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.
Data Engineering Podcast
NOVEMBER 6, 2022
Summary Despite the best efforts of data engineers, data is as messy as the real world. Entity resolution and fuzzy matching are powerful utilities for cleaning up data from disconnected sources, but it has typically required custom development and training machine learning models. Sonal Goyal created and open-sourced Zingg as a generalized tool for data mastering and entity resolution to reduce the effort involved in adopting those practices.
DoorDash Engineering
NOVEMBER 29, 2022
As DoorDash’s business grows, engineers strive for a better network infrastructure to ensure more third-party services could be integrated into our system while keeping data securely transmitted. Due to security and compliance concerns, some vendors handling such sensitive data cannot expose services to the public Internet and therefore host their own on-premise data centers.
Confluent
NOVEMBER 29, 2022
The mission-critical deployments, the robust feature set, the long history all say that Kafka is an Enterprise-capable product. Apache Kafka is going 1.0!
Netflix Tech
NOVEMBER 11, 2022
By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?
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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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