Sat.Jan 04, 2025 - Fri.Jan 10, 2025

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Top 10 High-Paying AI Skills to Learn in 2025

KDnuggets

AI is growing fast! Learn the top skills for 2025 to stay ahead in this exciting field.

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Getting Started with the Data Engineer Handbook

KDnuggets

Kickstart your data engineering career with an expert guide available on GitHub.

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The Future of Data Engineering Is Here—5 Trends You Can’t Ignore in 2025!

Hevo

Have you ever felt like data engineering is evolving at the speed of light? With new tech emerging almost daily, it’s no surprise that staying ahead of the curve is harder than ever. As we step into the fantastic year 2025 ahead, the rate at which data engineering changes is at an all-time high.

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Predictions 2025: AI As Cybersecurity Tool and Target

Snowflake

Though AI is (still) the hottest technology topic, its not the overriding issue for enterprise security in 2025. Advanced AI will open up new attack vectors and also deliver new tools for protecting an organizations data. But the underlying challenge is the sheer quantity of data that overworked cybersecurity teams face as they try to answer basic questions such as, Are we under attack?

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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.

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Part 3: A Survey of Analytics Engineering Work at Netflix

Netflix Tech

This article is the last in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. Need to catch up? Check out Part 1 , which detailed how were empowering Netflix to efficiently produce and effectively deliver high quality, actionable analytic insights across the company and Part 2 , which stepped through a few exciting business applications for Analytics Engineering.

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Mastering Multi-Cloud with Cloudera: Strategic Data & AI Deployments Across Clouds

Cloudera

In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives.

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The Future of Data Lakehouses: A Fireside Chat with Vinoth Chandar - Founder CEO Onehouse & PMC Chair of Apache Hudi

Data Engineering Weekly

What if your data lake could do more than just store information—what if it could think like a database? As data lakehouses evolve, they transform how enterprises manage, store, and analyze their data. To explore this future, I recently sat down with Vinoth Chandar, founder of Onehouse and creator of Apache Hudi, for a fireside chat about the trends shaping the data landscape.

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Getting to Know the SAR Analysis Toolset

ArcGIS

Must read article that introduces the SAR analysis toolset in ArcGIS Pro, which helps users extract valuable insights from processed SAR data.

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5 Free Courses to Master Data Wrangling with Python

KDnuggets

Do you want to learn data wrangling with Python on a budget? No worries, there are (at least) five free courses thatll provide you with solid knowledge.

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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!

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Data Integrity for AI: What’s Old is New Again

Precisely

Artificial Intelligence (AI) is all the rage, and rightly so. By now most of us have experienced how Gen AI and the LLMs (large language models) that fuel it are primed to transform the way we create, research, collaborate, engage, and much more. Yet along with the AI hype and excitement comes very appropriate sanity-checks asking whether AI is ready for prime-time.

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Delta Lake and restore - traveling in time differently

Waitingforcode

Time travel is a quite popular Delta Lake feature. But do you know it's not the single one you can use to interact with the past versions? An alternative is the RESTORE command, and it'll be the topic of this blog post.

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Testing and Development for Databricks Environment and Code.

Confessions of a Data Guy

Every once in a great while, the question comes up: “How do I test my Databricks codebase?” It’s a fair question, and if you’re new to testing your code, it can seem a little overwhelming on the surface. However, I assure you the opposite is the case. Testing your Databricks codebase is no different than […] The post Testing and Development for Databricks Environment and Code. appeared first on Confessions of a Data Guy.

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What Are Large Language Models? A Beginner’s Guide for 2025

KDnuggets

Curious about what LLMs are and want to know about them? Explore the Full Guide Right Here, Right Now!

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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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ILA Evo: Meta’s journey to reimagine fiber optic in-line amplifier sites

Engineering at Meta

Today’s rapidly evolving landscape of use cases that demand highly performant and efficient network infrastructure is placing new emphasis on how in-line amplifiers (ILAs) are designed and deployed. Metas ILA Evo effort seeks to reimagine how an ILA site could be deployed to improve speed and cost while making a step function improvement in power efficiency.

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2024 retrospective on waitingforcode.com

Waitingforcode

Even though I was blogging less in the second half of the previous year, the retrospective is still the blog post I'm waiting for each year. Every year I summarize what happened in the past 12 months and share with you my future plans. It's time for the 2024 Edition!

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Building a Fast, Light, and CHEAP Lake House with DuckDB, Delta Lake, and AWS Lambda

Confessions of a Data Guy

Building fun things is a real part of Data Engineering. Using your creative side when building a Lake House is possible, and using tools that are outside the normal box can sometimes be preferable. Checkout this video where I dive into how I build just such a Lake House using Modern Data Stack tools like […] The post Building a Fast, Light, and CHEAP Lake House with DuckDB, Delta Lake, and AWS Lambda appeared first on Confessions of a Data Guy.

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5 Tips for Structuring Your Data Science Projects

KDnuggets

Learn how to structure your data science projects to make them more organized and minimize chaos!

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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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Machine Learning & Spatial Components in ArcGIS Pro

ArcGIS

Address spatial confounding with Create Spatial Component Explanatory Variables in ArcGIS Pro 3.

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Databricks on Databricks - Transforming the Sales Experience using GenAI Agents

databricks

At Databricks, our automation vision is to automate all aspects of the business, making it better, faster, and cheaper. For the sales teams.

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Anthropic’s Claude 3.5 Sonnet now available in Snowflake Cortex AI

Snowflake

Today, we are excited to announce the general availability of Claude 3.5 Sonnet as the first Anthropic foundation model available in Snowflake Cortex AI. Customers can now access the most intelligent model in the Claude model family from Anthropic using familiar SQL, Python and REST API (coming soon) interfaces, within the Snowflake security perimeter.

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How to Monitor Docker Containers

KDnuggets

This guide highlights the importance of container monitoring, key metrics to track, and tools ranging from Docker's built-in commands to comprehensive systems like Prometheus and Grafana.

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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.

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Understanding Change Data Capture (CDC) in MySQL and PostgreSQL: BinLog vs. WAL + Logical Decoding

Towards Data Science

How CDC tools use MySQL Binlog and PostgreSQL WAL with logical decoding for real-time data streaming Photo by Matoo.Studio on Unsplash CDC (Change Data Capture) is a term that has been gaining significant attention over the past few years. You might already be familiar with it (if not, dont worrytheres a quick introduction below ). One question that puzzled me, though, was how tools like the Debezium CDC connectors can read changes from MySQL and PostgreSQL databases.

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Announcing egress control for serverless and model serving workloads

databricks

We are excited to announce that egress control for Databricks serverless and Mosaic AI Model Serving workloads is available in Public Preview on.

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Digital Twin Tech for ADAS and Autonomous Vehicle Development

Snowflake

The incredible promise of the fully autonomous vehicle (AV) and more advanced driver assistance systems (ADAS) has been driving the automotive industry for the better part of the last decade. It has inspired original equipment manufacturers (OEMs) to innovate their systems, designs and development processes, using data to achieve unprecedented levels of automation.

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How I Would Learn Data Science in 2025 (If I Could Start Over)

KDnuggets

Five years ago, I was a data science beginner learning the ropes. If I could start anew in 2025, here's what I would do.

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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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What is a Data Platform?

Confessions of a Data Guy

You know, for all the hoards of content, books, and videos produced in the “Data Space” over the last few years, famous or others, it seems I find there are volumes of information on the pieces and parts of working in Data. It could be Data Quality, Data Modeling, Data Pipelines, Data Storage, Compute, and […] The post What is a Data Platform?

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Announcing egress control for your Databricks serverless and Mosaic AI Model Serving workloads

databricks

We are excited to announce that egress control for Databricks serverless and Mosaic AI Model Serving workloads is available in Public Preview on.

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Composable CDPs in Financial Services: Empowering Marketing

Snowflake

Marketers at financial services companies have their work cut out for them. Their companies have a wealth of data, but that data is often fragmented among different systems and divisions, and protected-class data has a wide range of restrictions on how it can be used for different product lines. Some of the most effective companies in the financial sector are preparing their strategy for long-term success by centralizing first-party data in the Snowflake AI Data Cloud for Financial Services.

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