Sat.Dec 17, 2022 - Fri.Dec 23, 2022

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Learn Data Science From These GitHub Repositories

KDnuggets

Kickstart your data science career with these curated GitHub repositories.

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How to manage and schedule dbt

Christophe Blefari

Last week dbt Labs decided to change the pricing of their Cloud offering. I've already analysed this in week #22.50 of the Data News. In a nutshell, dbt Cloud pricing is per seat based, which means you pay for each dbt developer. Previously for a team it was $50/month/dev and they increase to $100/month/dev, a 100% increase with a team limit of 8 devs and only one project.

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Data warehouses vs Data Lakes vs Databases – Which One Do You Need

Seattle Data Guy

By Reseun McClendon Today, your enterprise must effectively collect, store, and integrate data from disparate sources to both provide operational and analytical benefits. Whether its helping increase revenue by finding new customers or reducing costs, all of it starts with data. Data analysts, data scientists, engineers, and managers all require a robust data storage solution for… Read more The post Data warehouses vs Data Lakes vs Databases – Which One Do You Need appeared first on

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Making Sense Of The Technical And Organizational Considerations Of Data Contracts

Data Engineering Podcast

Summary One of the reasons that data work is so challenging is because no single person or team owns the entire process. This introduces friction in the process of collecting, processing, and using data. In order to reduce the potential for broken pipelines some teams have started to adopt the idea of data contracts. In this episode Abe Gong brings his experiences with the Great Expectations project and community to discuss the technical and organizational considerations involved in implementing

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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How to Get Your First Job in Data Science without Any Work Experience

KDnuggets

Creativity, grit, and perseverance will become the three words you live by.

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Best of 2022: 5 Most Popular Cybersecurity Blogs Of The Year

U-Next

Introduction. Are you a Cybersecurity enthusiast looking to know the latest trends and goings in the cybersecurity industry? Or are you just a tech enthusiast who likes to be updated with the ongoings around them? Then you are at the perfect place. As another year comes to an end, we decided the best way to look back was to revisit the most popular and sought-after blogs of Cybersecurity and list the same for all our Cybersecurity enthusiasts.

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More Trending

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Revisit The Fundamental Principles Of Working With Data To Avoid Getting Caught In The Hype Cycle

Data Engineering Podcast

Summary The data ecosystem has seen a constant flurry of activity for the past several years, and it shows no signs of slowing down. With all of the products, techniques, and buzzwords being discussed it can be easy to be overcome by the hype. In this episode Juan Sequeda and Tim Gasper from data.world share their views on the core principles that you can use to ground your work and avoid getting caught in the hype cycles.

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7 Super Cheat Sheets You Need To Ace Machine Learning Interview

KDnuggets

Revise the concepts of machine learning algorithms, frameworks, and methodologies to ace the technical interview round.

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Clouderans Celebrate the Holiday Season by Giving Back

Cloudera

Holiday season is a time to reflect on your year and support those less fortunate than yourself. . Clouderans made a global impact by running a number of donation activities and local giving events to celebrate the season of giving. . November 29: Giving Tuesday—Global . Giving Tuesday, a day dedicated to donations and giving back, is the Tuesday after Thanksgiving in the US.

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Making GHC faster at emitting code

Tweag

One common complaint from industrial users of Haskell is that of compilation times: they are sometimes painfully slow. Some of that slowness is difficult to avoid—no matter how you slice it, typechecking and optimizing Haskell code takes a lot of work—but nobody would argue that there is not ample room for improvement. For the past few months, Krzysztof Gogolewski and I have had the opportunity to work with Mercury to identify what some of those improvements might be, and I am pleased to report

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Why Picnic picked Java

Picnic Engineering

Picking a tech stack for your startup isn’t something to do lightly. It’s a choice that will shape the future in many ways: how will the tech enable your emerging product and business, what talent can you attract, and how future-proof is the tech stack? When Picnic launched as the first app-only supermarket back in 2015 in The Netherlands, the tech landscape looked markedly different from today.

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What Can AI-Powered RPA and IA Mean For Businesses?

KDnuggets

RPA and IA have stunned the business world by availing impressive, intelligent automation capabilities for scales of businesses across industries, which we'll know in this blog.

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Optimizing the Energy Sector with Data Analytics

Cloudera

Across the energy supply chain from generation to consumer, we can see that the trend toward investing in renewable energy has picked up pace as demand has grown for energy companies to actively pursue investments in energies with little or no environmental impact in the quest for decarbonisation. McKinsey estimates that by 2035, 50% of energy will be wind and solar.

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Functional Data Engineering - A Blueprint

Data Engineering Weekly

The Rise of Data Modeling Data modeling has been one of the hot topics in Data LinkedIn. Hadoop put forward the schema-on-read strategy that leads to the disruption of data modeling techniques as we know until then. We went through a full cycle that “schema-on-read ” led to the infamous GIGO (Garbage In, Garbage Out) problem in data lakes, as noted in this What Happened To Hadoop retrospect.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Jobprofil des Data Engineers

Data Science Blog: Data Engineering

Warum Data Engineering der Data Science in Bedeutung und Berufschancen längst die Show stiehlt, dabei selbst ebenso einem stetigen Wandel unterliegt. Was ein Data Engineer wirklich können muss Der Data Scientist als sexiest Job des 21. Jahrhunderts? Mag sein, denn der Job hat seinen ganz speziellen Reiz, auch auf Grund seiner Schnittstellenfunktion zwischen Technik und Fachexpertise.

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How to Land a Senior Data Scientist Position

KDnuggets

How to differentiate yourself as a senior in data science interviews.

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Our Top 5 Articles on Data Teams in 2022

Monte Carlo

Today, data teams are mainly organized by the data processing stage. Data engineers pipe in data that is curated by analytical engineers, and then used by data analysts and data scientists to glean insights. Those positions will remain as critical as ever, but as organizations continue to push their data teams to create competitive advantage, emerging roles will become increasingly popular.

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Best of 2022: Top 5 Consumer Packaged Goods Blog Posts

Precisely

Data unlocks new possibilities in the supply chain – particularly for consumer packaged goods (CPG). With the competition more heated than ever, it’s crucial for companies to understand how to properly utilize data to boost customer satisfaction, reduce costs, and deliver consistent brand experiences. Let’s explore the impact of data in this industry as we count down the top 5 supply chain blog posts of 2022. #5 2 Tips for Data-Driven CPG Customer Satisfaction Over time, CPG customers have becom

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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ELT Process: Key Components, Benefits, and Tools to Build ELT Pipelines

AltexSoft

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Integrating data from numerous, disjointed sources and processing it to provide context provides both opportunities and challenges.

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Getting Started with Scikit-learn for Classification in Machine Learning

KDnuggets

The tutorial will introduce you to the scikit-learn module and its various features. It will also give you a brief overview of the multiclass classification problem through various algorithms.

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The 6 common data mistakes that could be holding your business back—and how to avoid them

ThoughtSpot

Data is everywhere–driving the evolution of technology, changing the way we do business, transforming what it means to be a customer. Yet, too many businesses are still operating in a data-aware state and not truly adapting to a data-driven mentality. According to Deloitte Insights , just 1 in 10 executives believe that their employees can actually use data to make decisions.

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SHARES: Extract Details about Objects

Cloudyard

Read Time: 1 Minute, 27 Second During this post we will discuss an interesting use case about SHARES. With Data Sharing , the customer doesn’t create a copy of a dataset and moves it across organizational boundaries. Consider the scenario when you have multiple data SHARES object in your Snowflake Account. Share is a securable object which encapsulates all the information and consist of: Privileges that grant access to the database and schema containing the objects to share.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Best of 2022: Top 5 Telco Blog Posts

Precisely

In the world of telecommunications, also known as telco, trusted data powers greater connections. And in such a dynamic and competitive landscape, data also makes it easier to maintain an edge over the competition. Let’s explore the impact of data in this industry as we count down the top 5 telco blog posts of 2022. #5 5G and Location Intelligence: Drive Telco Growth with Trusted Insights Demand for telecommunications bandwidth is exploding.

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State of AI Report 2022: Be Prepared for Next Year

KDnuggets

Free learning material to prepare you for the world of AI in 2023.

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How Data Observability Reduces Snowflake Costs

Acceldata

Learn how data observability helps companies reduce their Snowflake costs by improving the efficiency of their cloud resources, forecasting how much they’ll spend, and optimizing their performance.

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Reverse ETL to Fuel Future Actions with Data

Ascend.io

The last three years have seen a remarkable change in data infrastructure. ETL changed towards ELT. Now, data teams are embracing a new approach: reverse ETL. Cloud data warehouses, such as Snowflake and BigQuery, have made it simpler than ever to combine all of your data into one location. Today, data teams build ELT pipelines to load the data. After, they leverage the power of the cloud warehouse to perform deep analysis, build predictive models, and feed BI tools and dashboards.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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The top 6 attributes of a data leader

ThoughtSpot

We’re in the defining decade of data. Data underpins the technologies transforming how we work, communicate, socialize and buy. If you want to take part in the revolution, you need to become—or hire—a data leader. But what does that even mean? What sets data leaders apart from the average data-aware professional? And how can we become data leaders?

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Top KDnuggets Post of 2022: Is Data Science a Dying Career?

KDnuggets

Also: The Complete Collection of Data Science Cheat Sheets • 15 Python Coding Interview Questions You Must Know For Data Science • Free Python for Data Science Course • The High Paying Side Hustles for Data Scientists • Vanishing Gradient Problem, Explained.

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Got Hortonworks or Cloudera? How to Avoid A Disastrous, Costly Forced Migration

Acceldata

Got Hortonworks or Cloudera?

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Ascend.io Launches Solution in Partnership with Snowflake, Enabling Cost Savings for Data Teams

Ascend.io

Solution eliminates the cost of loading and syncing data from all sources within the Ascend platform, allowing teams to focus on accelerating business value. MENLO PARK, Calif. , Dec. 21, 2022 – Ascend.io , The Data Automation Cloud, today announced they have partnered with Snowflake , the Data Cloud company, to launch Free Ingest , a new feature that will reduce an enterprise’s data ingest cost and deliver data products up to 7x faster by ingesting data from all sources into the Snow

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.