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

article thumbnail

Learn Data Science From These GitHub Repositories

KDnuggets

Kickstart your data science career with these curated GitHub repositories.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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

Data Lake 130
article thumbnail

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

Metadata 130
article thumbnail

A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

article thumbnail

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.

article thumbnail

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.

Education 105

More Trending

article thumbnail

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.

Data Lake 100
article thumbnail

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.

article thumbnail

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.

Food 84
article thumbnail

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

Coding 72
article thumbnail

Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

article thumbnail

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.

Java 59
article thumbnail

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.

160
160
article thumbnail

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.

article thumbnail

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.

article thumbnail

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

article thumbnail

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.

article thumbnail

How to Land a Senior Data Scientist Position

KDnuggets

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

article thumbnail

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

article thumbnail

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.

Process 52
article thumbnail

How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

article thumbnail

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.

BI 52
article thumbnail

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.

article thumbnail

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.

article thumbnail

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.

article thumbnail

The Ultimate Guide to Apache Airflow DAGS

With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

article thumbnail

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.

Data 52
article thumbnail

State of AI Report 2022: Be Prepared for Next Year

KDnuggets

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

126
126
article thumbnail

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.

article thumbnail

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?

article thumbnail

Apache Airflow® Best Practices: 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!

article thumbnail

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

Acceldata

Got Hortonworks or Cloudera?

52
article thumbnail

The Importance of Permutation in Neural Network Predictions

KDnuggets

Permutation plays a significant role in making neural networks work as expected and showing whether they provide valid results. Explore how it affects neural network predictions now.

IT 108
article thumbnail

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

article thumbnail

Introducing the Striim Community and Discord Server

Striim

As a data architect, business intelligence professional, or Chief Technical Officer, you know how important it is to have access to real-time data streaming to make the most informed decisions for your organization. That’s where Striim comes in. One of the biggest benefits of using Striim is the ability to easily integrate with a variety of data sources, including databases, message queues, data warehouses, sensors, and files.

article thumbnail

How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m