Sat.Nov 25, 2023 - Fri.Dec 01, 2023

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5 Free Courses to Master Data Engineering

KDnuggets

Data engineers must prepare and manage the infrastructure and tools necessary for the whole data workflow in a data-driven company.

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Unlocking the Power of Analytics with Dr. Swati Jain

Analytics Vidhya

In this Leading with Data episode, explore the analytics landscape with Dr. Swati Jain, a seasoned leader boasting over two decades of experience. From her unforeseen foray into analytics to steering EXL Analytics’ India business, Dr. Jain imparts invaluable insights into the ever-evolving world of data science. Read on to know more about her career, […] The post Unlocking the Power of Analytics with Dr.

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The Difference Between Learning and Doing

Jesse Anderson

Lately, I’ve been learning how to trade options. Although there’s data and programming involved in options trading, it isn’t as technical as data engineering or software engineering. However, it reflects the current state of learning, whether that’s data engineering or options trading. It gave me a look into learning a skill using videos. Each lesson I learned will directly apply to your learning or skill improvement.

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Accumulators and reliability

Waitingforcode

In March I wrote a blog showing how to use accumulators to know the application of each filter statement. Turns out, the solution may not be perfect as mentioned by Aravind in one of the comments. I bet you already have an idea but if not, keep reading. Everything will be clear in the end!

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le

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Finding The Right ETL/ELT Solution – What Is Estuary And Should You Use It?

Seattle Data Guy

Data warehousing would be easy if all data were structured and formatted in the data source. Maybe we wouldn’t even need to build a data warehouse. But as anyone who has worked with data from more than one source knows, that’s rarely the case. Businesses today need to pull data from a plethora of sources,… Read more The post Finding The Right ETL/ELT Solution – What Is Estuary And Should You Use It?

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Learn Probability in Computer Science with Stanford University for FREE

KDnuggets

Probability is one of the foundational elements of computer science. Some bootcamps will skim over the topic, however, it is integral to your computer science knowledge.

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A Deep Dive Into Sending With librdkafka

Confluent

Learn how to write code that produces messages via librdkafka, how it will behave during error situations, and how your application should detect and respond to them.

Coding 119
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How to Get a Data Science Job at Top Companies in 2023?

Knowledge Hut

The job market today emphasizes experience as a major criterion. Employers consider experienced professionals better candidates since they provide more value to the company. Are you interested in knowing how to become a data scientist with no experience  but not sure how to go about it? Here you will learn how to get your first data science job. To make t hings easier for you, here is a quick tip.

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Source filtering with file sets

Tweag

Sponsored by Antithesis (distributed systems reliability testing experts), I’ve developed a new library to filter local files in Nix which I’d like to introduce! This post requires some familiarity with Nix and its language. So if you don’t know what Nix is yet, take a look first, it’s pretty neat. In this post we’re going to look at what source filtering is, why it’s useful, why a new library was needed for it, and the basics of the new library.

Building 107
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The Definitive Entity Resolution Buyer’s Guide

Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.

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11 Python Magic Methods Every Programmer Should Know

KDnuggets

Want to support the behavior of built-in functions and method calls in your Python classes? Magic methods in Python let you do just that! So let’s uncover the method behind the magic.

Python 107
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PySpark (Pandas) UDF?

Medium Data Engineering

บางครั้งเราก็อยาก process อะไรบางอย่างบน PySpark เช่นการ encrypt ข้อมูล หรือแปลงข้อมูลแบบแปลก ๆ ด&

Process 98
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Highest Paying Companies for Software Engineers in 2023

Knowledge Hut

Software engineers, on average, get paid $1,13,781 yearly; however, the pay scale usually varies depending on the job location, employer, and demographics. The amount you earn as a working software professional will depend on the number of years of experience, skillsets you have, and demand for that job position in the industry. Experienced software engineers make up to millions a year, and even freelance software developers can earn up to hundreds of thousands of dollars per project.

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Data Quality Score: The next chapter of data quality at Airbnb

Airbnb Tech

By: Clark Wright Introduction These days, as the volume of data collected by companies grows exponentially, we’re all realizing that more data is not always better. In fact, more data, especially if you can’t rely on its quality, can hinder a company by slowing down decision-making or causing poor decisions. With 1.4 billion cumulative guest arrivals as of year-end 2022, Airbnb’s growth pushed us to an inflection point where diminishing data quality began to hinder our data practitioners.

Data 98
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How To Install OpenCV Python On Windows

Edureka

Computer vision is an interdisciplinary scientific field that deals with how computers can be made to gain high-level understanding from digital images or videos. OpenCV(open source computer vision library) is an open source computer vision and machine learning software library. OpenCV was build to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products.

Python 98
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Mastering Web Scraping with BeautifulSoup

KDnuggets

This is a great guide for anyone who wants to learn Web Scraping. It can help you understand the basics of Web Scraping with BeautifulSoup and how to use it.

IT 103
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5 Social Media Marketing Etiquette Tips

Knowledge Hut

Is your organization active on social media? Whether you work in big business, a charity, the public sector or somewhere else, chances are your organization has or should have social media accounts. That might be YouTube, SlideShare, Pinterest or LinkedIn (or one of many other social networks), and the right channel is going to largely depend on what you want to get out of your engagement with your social media communities.

Media 96
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Top 7 Free Apache Kafka Tutorials and Courses for Beginners in 2023

Confluent

The top 7 free online courses, tutorials, get started guides, and examples for the easiest way to learn Apache Kafka.

Kafka 118
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Transforming MLOps at DoorDash with Machine Learning Workbench

DoorDash Engineering

It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts. DoorDash has been building an internal Machine Learning Workbench over the past year to enhance data operations and assist our data scientists, analysts, and AI/ML engineers.

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Automating Governance of PHI Data in Healthcare

databricks

Background: Modernizing Data Delivery Today's enterprise data estates are vastly different from 10 years ago. Industries have transitioned their analytics from monolithic data.

Data 86
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30+ Free Datasets for Your Data Science Projects in 2023

Knowledge Hut

As Data scientists, our focus is on both the quality and quantity of data which can improve the model results. With different sources of data, we can leverage the information to drive good business understanding. Whether you are working on a personal project, learning the concepts, or working with datasets for your company, the primary focus is a data acquisition and data understanding.

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Best Practices for Migrating Historical Data to Snowflake

Snowflake

At TCS , we help companies shift their enterprise data warehouse (EDW) platforms to the cloud as well as offering IT services. We’re extremely familiar with just how tricky a cloud migration can be, especially when it involves moving historical business data. Choosing a migration approach involves balancing cloud strategy, architecture needs and business priorities.

Data 81
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From CSV to Complete Analytical Report with ChatGPT in 5 Simple Steps

KDnuggets

Data analysis is a time-consuming activity. With ChatGPT, we can perform data summary, data preprocessing, data visualization, and many others in a short time.

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Druid Deprecation and ClickHouse Adoption at Lyft

Lyft Engineering

Written by Ritesh Varyani and Jeana Choi at Lyft. Introduction At Lyft, we have used systems like Apache ClickHouse and Apache Druid for near real-time and sub-second analytics. Sub-second query systems allow for near real-time data explorations and low latency, high throughput queries, which are particularly well-suited for handling time-series data.

Kafka 84
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Top Companies for Software Engineers 2023

Knowledge Hut

As a software engineer , you will be responsible for developing and maintaining software applications. You will also be involved in the testing and debugging of software programs. To be successful in this role, you will need to have strong problem-solving skills, technical skills, and the ability to work independently. They are also constantly innovating and expanding, which creates opportunities for software engineers to grow their skills and careers.

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Reinventing ERP Insights With Maxa and Snowflake Native Apps

Snowflake

ERP systems run the world’s businesses. These stalwart systems are great at managing records and processes for finance, operations, supply chain management and more. But their insights need an upgrade. That’s the case put forward by Maxa , an enterprise-grade startup that has made it their mission to reinvent the way companies access and use ERP data for transformational insights.

Data 88
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Data Quality Score: The next chapter of data quality at Airbnb

Medium Data Engineering

In this blog post, we share our innovative approach to scoring data quality, Airbnb’s Data Quality Score (“DQ Score”).

Data 98
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All of Netflix’s HDR video streaming is now dynamically optimized

Netflix Tech

by Aditya Mavlankar , Zhi Li , Lukáš Krasula and Christos Bampis High dynamic range ( HDR ) video brings a wider range of luminance and a wider gamut of colors, paving the way for a stunning viewing experience. Separately, our invention of Dynamically Optimized ( DO ) encoding helps achieve optimized bitrate-quality tradeoffs depending on the complexity of the content.

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The Top 5 Alternatives to GitHub for Data Science Projects

KDnuggets

The blog discusses five platforms designed for data scientists with specialized capabilities in managing large datasets, models, workflows, and collaboration beyond what GitHub offers.

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Augmenting our content moderation efforts through machine learning and dynamic content prioritization

LinkedIn Engineering

Co-Authors: Abhishek Chandak and Ritish Verma We recognize that our 1 billion members and their over 10 billion years’ worth of collective knowledge and insights bring tremendous value to the LinkedIn community. That's why we're committed to enabling our members and customers to safely engage and connect with content. Our Trust & Safety team works diligently to keep harmful content off the platform, allowing members to tap into the real-life, meaningful insights and information shared by the

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Data Science Learning Path [Beginners Roadmap]

Knowledge Hut

The Data Science learning path is a collective set of curated courses that comprise a learning plan for achieving the required skills for the data scientist role. While the time limit to complete the learning path to become a data scientist can expect 8-9 months to get through all Data Science courses. It is known that people from diverse backgrounds with zero experience turn out to be good data scientists in just a year through learning smart coding.

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Netflix Original Research: MIT CODE 2023

Netflix Tech

Netflix was thrilled to be the premier sponsor for the 2nd year in a row at the 2023 Conference on Digital Experimentation (CODE@MIT) in Cambridge, MA. The conference features a balanced blend of academic and industry research from some wicked smart folks, and we’re proud to have contributed a number of talks and posters along with a plenary session.

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KDnuggets News, November 29: 5 Free Courses to Master Machine Learning • Stunning Data Viz with ChatGPT

KDnuggets

This week on KDnuggets: Start learning how to build machine learning models today with these free machine learning courses • See how ChatGPT creates jaw-dropping data viz with just a few words • And much, much more!