Sat.Feb 11, 2023 - Fri.Feb 17, 2023

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Join DataHour Sessions With Industry Experts

Analytics Vidhya

Introduction Are you curious about the latest advancements in the data tech industry? Perhaps you’re hoping to advance your career or transition into this field. In that case, we invite you to check out DataHour, a series of webinars led by experts in the field. Through these webinars, you’ll gain hands-on experience, deepen your understanding […] The post Join DataHour Sessions With Industry Experts appeared first on Analytics Vidhya.

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What Is Apache Airflow – Data Engineering Consulting

Seattle Data Guy

Apache Airflow is a very popular tool that data engineers rely on. But why? Why do data engineers like Airflow? Also, what does Apache Airflow event do? In this article we will answer questions like: What is Airflow? What is a DAG? Why do people use Apache Airflow? Why we like Airflow? What are… Read more The post What Is Apache Airflow – Data Engineering Consulting appeared first on Seattle Data Guy.

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Simplified Delta Lake operations with Mack

Waitingforcode

I like writing code and each time there is a data processing job to write with some business logic I'm very happy. However, with time I've learned to appreciate the Open Source contributions enhancing my daily work. Mack library, the topic of this blog post, is one of those projects discovered recently.

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Docker for Data Science Cheat Sheet

KDnuggets

Docker is dependency management on steroids, helping to ensure both reproducibility and collaboration, making it an important tool for data science. Our latest cheat sheet serves as a handy Docker reference. Check it out now!

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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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Unlock Learning in the February DataHour Sessions

Analytics Vidhya

Introduction Are you interested in exploring the latest advancements in the data tech industry? Do you want to enhance your career growth or transition into the field? Look no further! Introducing DataHour – a series of expert-led webinars where you can gain hands-on experience, deepen your understanding and connect with leaders in the field. From […] The post Unlock Learning in the February DataHour Sessions appeared first on Analytics Vidhya.

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What is the metrics store

Christophe Blefari

This week dbt Labs announced the intention to acquired Transform. While, you should already be aware about what's dbt, there are still unknowns about what's Transform. Transform is a company that has been founded by ex-Airbnb employees—which is important here—that proposes an open-source metrics framework and a SaaS metrics store.

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Learning Python in Four Weeks: A Roadmap

KDnuggets

Here is a roadmap for learning Python in four weeks, a combination of curated resources and ChatGPT prompts to master the language.

Python 158
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Ace Your Interview with Top 10 Interview Questions on Delta Lake

Analytics Vidhya

Introduction Every data scientist demands an efficient and reliable tool to process this big unstoppable data. Today we discuss one such tool called Delta Lake, which data enthusiasts use to make their data processing pipelines more efficient and reliable. Basically, Delta Lake is an open-source storage layer that lies on top of our existing data […] The post Ace Your Interview with Top 10 Interview Questions on Delta Lake appeared first on Analytics Vidhya.

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Understanding the True Cost of Data Debt

The Modern Data Company

Technology moves fast. Sometimes solutions to big challenges already exist, but more often, a problem appears before a solution. Companies must then take creative measures to “fix” technology challenges, leaving them with temporary solutions that quickly obsolesce. You can’t blame companies for playing the cards they’re given, but now data debt is costing companies more than they think, even when solutions seem to be working…for now.

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Common myths debunked about opting for an online degree

U-Next

For years, traditional education has given online learning a bad rap. In fact, before the pandemic pushed education into the digital realm, the common masses thought of online learning as a scam or a side hobby to acquire new skills. However, online learning programs have now found their time to shine. As more and more learners are opening up to the idea of pursuing an online degree, here are a few myths that are worth dispelling: Myth #1: An online degree doesn’t have the same value as its trad

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

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.

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Why Data Scientists Expect Flawed Advice From Google Bard

KDnuggets

First reported by Reuters, Bard returned an inaccurate response, leading to a drop in Alphabet’s (GOOGL) stock price by as much as 9% on the day of the demonstration. For many in the data community, this did not come as a surprise; here’s why.

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Top 5 Interview Questions on Apache Oozie

Analytics Vidhya

Introduction Today we have an abundance of Hadoop jobs that are running in a constant plane, but we can’t schedule these jobs manually, we need some kind of scheduler to handle this flow. Apache Oozie is one such job scheduler that allows users to run, schedule, and manage Hadoop jobs in a distributed environment. Source: […] The post Top 5 Interview Questions on Apache Oozie appeared first on Analytics Vidhya.

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Not Getting Value from Your Data Transformation? Fix it

The Modern Data Company

Not Getting Value from Your Data Transformation? Fix it Download (PDF) The post Not Getting Value from Your Data Transformation? Fix it appeared first on TheModernDataCompany.

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Education in India is going digital: Why you need to keep up

U-Next

Top reasons to adopt the online mode of education The impact of COVID 19 on the education sector has been unprecedented in every sense. The closing down of educational institutions in the wake of the virus outbreak has accelerated the rapid shift to digital-learning models across the country. Online or digital education is already a norm in several countries across the globe with reputed universities offering full-time degrees including online MBA, online BCA, online BBA and other similar certif

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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KDnuggets News, February 15: Top Free Resources To Learn ChatGPT • 5 Pandas Plotting Functions You Might Not Know

KDnuggets

Top Free Resources To Learn ChatGPT • 5 Pandas Plotting Functions You Might Not Know • Python Function Arguments: A Definitive Guide • Making Intelligent Document Processing Smarter: Part 1 • Optimizing Python Code Performance: A Deep Dive into Python Profilers

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Best Practices For Loading and Querying Large Datasets in GCP BigQuery

Analytics Vidhya

Introduction BigQuery is a robust data warehousing and analytics solution that allows businesses to store and query large amounts of data in real time. Its importance lies in its ability to handle big data and provide insights that can inform business decisions. Source: dataedo.com It is designed to handle big data and is ideal for […] The post Best Practices For Loading and Querying Large Datasets in GCP BigQuery appeared first on Analytics Vidhya.

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Databricks ?? IDEs

databricks

Happy Valentine's Day! Databricks ❤️ Visual Studio Code. On this lovely day, we are thrilled to announce a new and powerful development experience for.

Coding 98
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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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5 Genuinely Useful Bash Scripts for Data Science

KDnuggets

In this article, we are going to take a look at five different data science-related scripting-friendly tasks, where we should see how flexible and useful Bash can be.

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Explore Antarctica’s topography with the British Antarctic Survey

ArcGIS

Explore the Antarctic's coastline and contours from the British Antarctic Survey that are available in the ArcGIS Living Atlas.

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How To Migrate Your Oracle PL/SQL Code to Databricks Lakehouse Platform

databricks

Oracle is a well-known technology for hosting Enterprise Data Warehouse solutions. However, many customers like Optum and the U.S. Citizenship and Immigration Services.

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#ClouderaLife Spotlight: Amogh Desai, Software Engineer II

Cloudera

This month’s #ClouderaLife Spotlight features software engineer Amogh Desai. Here we discuss his background, how he got started at Cloudera, and his recent win at the Cloudera 2022 Global Hackathon. Snatching victory from the jaws of defeat Amogh and his fellow hackathon team members felt the rush of victory after winning Cloudera’s 2022 global hackathon in the product development category.

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Top Posts February 6-12: SQL and Python Interview Questions for Data Analysts

KDnuggets

SQL and Python Interview Questions for Data Analysts • Learn Machine Learning From These GitHub Repositories • Learn Data Engineering From These GitHub Repositories • The ChatGPT Cheat Sheet • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2

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Platform Engineering: Predictions and Prospects in 2023 & Beyond

Workfall

Reading Time: 7 minutes Platform Engineering has received a lot of attention, but there is some misunderstanding about what it is and, perhaps more importantly, how it differs from more well-known disciplines like SRE and DevOps. Platform Engineering is the rebranded DevOps or it is the next stage of DevOps evolution? Why suddenly everyone has started talking about it?

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Accelerate your model development with the new MLflow Experiments UI

databricks

MLflow is the premier platform for model development and experimentation. Thousands of data scientists use MLflow Experiment Tracking every day to find the.

Data 90
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Building a Data Culture: Change Requires More Than a Megaphone

Snowflake

When asked, “What has been your greatest challenge in achieving your objectives?”, 62% of data leaders surveyed for the CDO Agenda 2023 reported “Difficulty in changing organizational behaviors and attitudes.” More than half of respondents indicated an “absence of data-driven culture or data-driven decision-making.” Yet change is hard. My New Year’s resolution was to read the stack of books by my bed, and continue to read more throughout the year (and not just the “beach read” diversions t

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

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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Learn MLOps From These GitHub Repositories

KDnuggets

Kickstart your MLOps career with these curated GitHub repositories.

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Inside Meta’s first smart glasses

Engineering at Meta

What’s new: Meta is sharing the inside story of how it developed the Ray-Ban Stories smart glasses. Why it matters: Creating Ray-Ban Stories meant Meta’s engineers had to take on new challenges to build smart glasses that married complex engineering dynamics. How do you make something that features cameras, microphones, audio, and touch controls, all while fitting into a form factor similar to a standard pair of Ray-Ban glasses?

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Best Practices for Realtime Feature Computation on Databricks

databricks

As Machine Learning usage continues to rise across industries and applications, the sophistication of the Machine Learning pipelines is also increasing. Many of.

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Lifecycle of a Successful ML Product: Reducing Dasher Wait Times

DoorDash Engineering

Building an ML-powered delivery platform like DoorDash is a complex undertaking. It involves collaboration across numerous organizations and cross-functional teams. When this process works well, it can be an amazing experience to work on a product development team, ship ML models to production, and make them 1% better every day. The process usually starts with first identifying a product that we could improve by using Machine Learning.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.