Trending Articles

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Preparing Your Data Infrastructure for 2025: Lessons from the Past, Strategies for the Future

Seattle Data Guy

When I broke into the data world, everyone wanted to hire data scientists that would let their companies become more data driven. There were statistics about the exabytes of data that we were creating and the value it would provide. However, a few years into my career, the data world started to make a pivot… Read more The post Preparing Your Data Infrastructure for 2025: Lessons from the Past, Strategies for the Future appeared first on Seattle Data Guy.

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Powering AI innovation by acccelerating the next wave of nuclear

Engineering at Meta

Meta releases a Request for Proposals (RFP) to identify nuclear energy developers to support AI innovation and clean and renewable energy goals.

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The Pragmatic Engineer: Cyber Monday Deals

The Pragmatic Engineer

It's Cyber Monday: and I'm offering one-day, one-off discounts on my ebooks, as well as on The Pragmatic Engineer Newsletter. Here they are: The Pragmatic Engineer Newsletter : 20% off, for the first year, for annual subscriptions. Claim it here. See more details , and read reviews from readers. The Software Engineer's Guidebook : 40% off from the ebook version sold directly.

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10 Python Libraries Every Developer Should Know

KDnuggets

In this article, we’ll go over Python libraries for tasks like logging, unit testing, data handling, and more — each with features that can simplify your application development.

Python 124
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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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Turkey Day Is Here – Black Friday Sale – %50 Off

Confessions of a Data Guy

Well, another turkey day has come upon us all. I trust you are getting at least a day or two off from your overlords from writing code and taking names. While the rest of you will be slicing up that turkey with your friends and family, clinking your glasses and giving toasts to each other, […] The post Turkey Day Is Here – Black Friday Sale – %50 Off appeared first on Confessions of a Data Guy.

Coding 100
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Introducing Tax Lots on Robinhood

Robinhood

At Robinhood, we are committed to making investing more accessible and transparent for everyone. That’s why today we’re introducing an important feature designed to help customers manage their tax liabilities and give them flexibility when selling stocks — Tax Lots. Tax Lots allow customers to choose specific assets to sell—whether it’s the ones held long term, the ones with the lowest or highest cost basis, or the ones that might have experienced the greatest loss.

Portfolio 105

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Announcing Public Preview of Cross Platform View Sharing

databricks

We are excited to announce the Public Preview of Cross-Platform View Sharing. Available today, it allows data providers to share views across different.

IT 109
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10 GitHub Repositories to Master Reinforcement Learning

KDnuggets

Learn reinforcement learning using free resources, including books, frameworks, courses, tutorials, example code, and projects.

Coding 146
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Cloudera announces ‘Interoperability Ecosystem’ with founding members AWS and Snowflake

Cloudera

Today enterprises can leverage the combination of Cloudera and Snowflake—two best-of-breed tools for ingestion, processing and consumption of data—for a single source of truth across all data, analytics, and AI workloads. But now AWS customers will gain more flexibility, data utility, and complexity, supporting the modern data architecture. All this by making it easier for customers to connect their workloads with Snowflake, Cloudera, and unique AWS services such as Amazon Simple Storage Service

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Meta Andromeda: Supercharging Advantage+ automation with the next-gen personalized ads retrieval engine

Engineering at Meta

Andromeda is Meta’s proprietary machine learning (ML) system design for retrieval in ad recommendation focused on delivering a step-function improvement in value to our advertisers and people. This system pushes the boundary of cutting edge AI for retrieval with NVIDIA Grace Hopper Superchip and Meta Training and Inference Accelerator (MTIA) hardware through innovations in ML model architecture, feature representation, learning algorithm, indexing, and inference paradigm.

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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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Snowflake Will Block Single-Factor Password Authentication by November 2025

Snowflake

Earlier this year, Snowflake signed the Cybersecurity and Infrastructure Security Agency (CISA) Secure by Design pledge. As part of that commitment, we are announcing that by November 2025, Snowflake will block sign-ins using single-factor authentication with passwords. This enhanced level of protection adds to the growing security capabilities of Snowflake Horizon Catalog , which empowers security admins and chief information security officers to better safeguard their security posture and miti

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Unlock the Predictive Power of Your Time Series Data

databricks

At Databricks, AutoML is our low-code/no-code model training API that empowers customers to create quality machine learning (ML) models with their data on.

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Getting Started with MongoDB: Installation and Setup Guide

KDnuggets

MongoDB is a database that’s great for handling large amounts of diverse data. This article walks you through installing MongoDB and using the MongoDB Shell to manage your data easily.

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Cloudera AI Inference Service Enables Easy Integration and Deployment of GenAI Into Your Production Environments

Cloudera

Welcome to the first installment of a series of posts discussing the recently announced Cloudera AI Inference service. Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. To unlock the full potential of AI, however, businesses need to deploy models and AI applications at scale, in real-time, and with low latency and high throughput.

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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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Women on Wednesday with Meenakshi Khurana

Precisely

At Precisely, we celebrate the women in our organization because we know that while more women are joining the technology industry, there’s still a gender gap. Supporting and advocating for women in technology is a top priority, which is why the Precisely Women in Technology (PWIT) program was established. Every month, a different woman from the program is featured in this Q&A to share her experience working in tech.

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Unify Streaming and Analytical Data with Apache Iceberg®, Confluent Tableflow, and Amazon SageMaker® Lakehouse

Confluent

Tableflow easily integrates with Amazon SageMaker Lakehouse, enabling you to quickly materialize your Apache Kafka topics into Iceberg tables stored in S3.

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Supercharging Private Equity Portfolio Returns

databricks

Executive Summary In this blog post we explore how private equity (PE) firms can leverage data intelligence to enhance portfolio returns. We highlight.

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How to Install and Run LLMs Locally on Android Phones

KDnuggets

Learn how to bring the power of AI right to your Android phone—no cloud, no internet, just pure on-device intelligence!

Cloud 104
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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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Fueling the Future of GenAI with NiFi: Cloudera DataFlow 2.9 Delivers Enhanced Efficiency and Adaptability

Cloudera

For more than a decade, Cloudera has been an ardent supporter and committee member of Apache NiFi, long recognizing its power and versatility for data ingestion, transformation, and delivery. Our customers rely on NiFi as well as the associated sub-projects (Apache MiNiFi and Registry) to connect to structured, unstructured, and multi-modal data from a variety of data sources – from edge devices to SaaS tools to server logs and change data capture streams.

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Open Policy Agent in Skipper Ingress

Zalando Engineering

Introduction At Zalando, we continuously strive to enhance our platform capabilities to provide robust, scalable, and developer-friendly solutions. One such initiative is the integration of Open Policy Agent (OPA) into Skipper , our open-source ingress controller and reverse proxy, to deliver Authorization as a Service. This integration not only allows externalising authorization policies but also aligns with our goals of solving security concerns on the infrastructure with efficiency and develo

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Securely Query Confluent Cloud from Amazon Redshift with mTLS

Confluent

The recent release of mutual TLS (mTLS) on Confluent Cloud and Amazon Redshift has enabled the streaming of Confluent topics to Amazon Redshift materialized views.

Cloud 59
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Databricks Brings AI to the Enterprise using NVIDIA AI and Accelerated Computing

databricks

The world of artificial intelligence (AI) and data analytics is about to get a significant boost, thanks to Databricks’ collaboration with NVIDIA. This.

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Prepare Now: 2025's 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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Tips for Handling Large Datasets in Python

KDnuggets

Working with large datasets is common but challenging. Here are some tips to make working with such large datasets in Python simpler.

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Cloudera and AWS Partner to Deliver Cost-Efficient and Sustainable Infrastructure for AI and Analytics

Cloudera

As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. Cost has been a key consideration in public cloud adoption from the start. Today, energy efficiency is gaining importance, not only for cutting costs but also as a vital step toward sustainable business practices.

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6 Ways To Prepare Your Data Team for 2025

Ascend.io

As we approach 2025, data teams find themselves at a pivotal juncture. The rapid evolution of technology and the increasing demand for data-driven insights have placed immense pressure on these teams. According to recent research, 95% of data teams are operating at or over capacity, highlighting the urgent need for strategic preparation. This isn’t just about keeping up; it’s about staying ahead so that data teams can deliver the data needed to fuel their organizations.

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Maximizing Your Data’s Potential: Best Practices for Streamlining Data Enrichment

Precisely

Key Takeaways: Data enrichment is the process of appending your first-party data with contextually rich third-party data, enabling you to make more data-driven decisions. Traditionally, data enrichment can be lengthy and expensive, but implementing best practices for evaluating datasets and working with a data provider that offers data delivery options fit for your needs can accelerate time to value while reducing costs.

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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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Predictive Optimization Automatically Delivers Faster Queries and Lower TCO

databricks

Predictive Optimization (PO) enhances the performance of Unity Catalog managed tables by intelligently optimizing data layouts, leading to significant improvements in query performance.

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10 Essential Conda Commands for Data Science

KDnuggets

This is a collection of the 10 most frequently used Conda commands that every data scientist, machine learning engineer, or Python developer should have at their fingertips.

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Secure Data Sharing and Interoperability Powered by Iceberg REST Catalog

Cloudera

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments. Despite various architectural patterns and paradigms, they still end up with perpetual “data puddles” and silos in many non-interoperable data formats.

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How To Prepare Your Data Team for 2025

Ascend.io

As we approach 2025, data teams find themselves at a pivotal juncture. The rapid evolution of technology and the increasing demand for data-driven insights have placed immense pressure on these teams. According to recent research, 95% of data teams are operating at or over capacity, highlighting the urgent need for strategic preparation. This isn’t just about keeping up; it’s about staying ahead so that data teams can deliver the data needed to fuel their organizations.

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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!