Sat.Mar 02, 2024 - Fri.Mar 08, 2024

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When And How To Conduct An AI Program

Data Engineering Podcast

Summary Artificial intelligence technologies promise to revolutionize business and produce new sources of value. In order to make those promises a reality there is a substantial amount of strategy and investment required. Colleen Tartow has worked across all stages of the data lifecycle, and in this episode she shares her hard-earned wisdom about how to conduct an AI program for your organization.

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Data News — Week 24.09

Christophe Blefari

Mistral ( credits ) Hello all, this is the Data News, this week edition might be smaller than usual in term of comments as I'm working on a Data News related project that takes me a bit of time, which will probably lead to a series of articles. Before I forget I've appeared on The Joe Reis Show , we chatted with Joe about data engineering teaching, why it is hard and about generative AI that will change education for ever.

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2024 Reading List: 5 Essential Reads on Artificial Intelligence

KDnuggets

Transform your understanding of current and future tech with these top 5 AI reads to explore the minds shaping our future.

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The Best Piece of Software Engineering Advice

Confessions of a Data Guy

You probably think this is another internet clickbait title uh? Just trying to get you to clickty clickty and sell you some Google Ads. Two problems. I don’t have Google Ads, and I know a small percentage of people will actually listen to this advice. Whatever. There is a reason some developers struggle to move […] The post The Best Piece of Software Engineering Advice appeared first on Confessions of a Data Guy.

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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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Making messaging interoperability with third parties safe for users in Europe

Engineering at Meta

To comply with a new EU law, the Digital Markets Act (DMA), which comes into force on March 7th, we’ve made major changes to WhatsApp and Messenger to enable interoperability with third-party messaging services. We’re sharing how we enabled third-party interoperability (interop) while maintaining end-to-end encryption (E2EE) and other privacy guarantees in our services as far as possible.

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Data News — Recommendations

Christophe Blefari

We all need recommendations ( credits ) When I started writing this newsletter nearly three years ago, I never imagined that the words I write on my keyboard would take such an important place in my life. All the interactions I have with you, whether online or offline, are always amazing and give me wings. Today I want to introduce a new feature in the Data News galaxy.

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More Trending

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Never Put Databricks Notebooks in Production

Confessions of a Data Guy

Recently an Architecture at Databricks recommended people use Notebooks for Production workloads. Very bad and horrible idea. Very expensive compute for most people (All Purpose Clusters) and it leads to horrible development practices. It set off a firestorm on Linkedin when I commented people SHOULD NOT follow this advice. Read here and here The post Never Put Databricks Notebooks in Production appeared first on Confessions of a Data Guy.

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Apache Flink and the input data reading

Waitingforcode

I'm writing this unexpected blog post because I got stuck with watermarks and checkpoints and felt that I was missing some basics. Even though this introduction is a bit negative, the exploration for the data reading enabled my other discoveries.

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Snowflake Ventures Invests in Landing AI, Boosting Visual AI in the Data Cloud

Snowflake

As Large Language Models are revolutionizing natural language prompts, Large Vision Models (LVMs) represent another new, exciting frontier for AI. An estimated 90% of the world’s data is unstructured, much of it in the form of visual content such as images and videos. Insights from analyzing this visual data can open up powerful new use cases that significantly boost productivity and efficiency, but enterprises need sophisticated computer vision technologies to achieve this.

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Master Data Science in a Year: The Ultimate Guide to Affordable, Self-Paced Learning

KDnuggets

Ready to start a career in data science? Put your commitment hat on because I found 4 courses you need to become a master in a year!

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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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DuckDB has MAJOR Problems! OOM Errors.

Confessions of a Data Guy

I recently did a challenge. The results were clear. DuckDB CANNOT handle larger-than-memory datasets. OOM Errors. See link below for more details. … DuckDB vs Polars – Thunderdome. 16GB on 4GB machine Challenge. The post DuckDB has MAJOR Problems! OOM Errors. appeared first on Confessions of a Data Guy.

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Extending destination-passing style programming to arbitrary data types in Linear Haskell

Tweag

Three years ago, a blog post introduced destination-passing style (DPS) programming in Haskell, focusing on array processing, for which the API was made safe thanks to Linear Haskell. Today, I’ll present a slightly different API to manipulate arbitrary data types in a DPS fashion, and show why it can be useful for some parts of your programs. The present blog post is mostly based on my recent paper Destination-passing style programming: a Haskell implementation , published at JFLA 2024.

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StreamNative and Databricks Unite to Power Real-Time Data Processing with Pulsar-Spark Connector

databricks

StreamNative, a leading Apache Pulsar-based real-time data platform solutions provider, and Databricks, the Data Intelligence Platform, are thrilled to announce the enhanced Pulsar-Spark.

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5 Free University Courses to Learn Databases and SQL

KDnuggets

Looking to learn SQL and databases to level up your data science skills? Learn SQL, database internals, and much more with these free university courses.

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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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Printing maps, the (really) old-fashioned way

ArcGIS

How I used ArcGIS Pro to help me design a woodcut print.

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Robinhood 24 Hour Market Reaches $10B+ in Total Volume Traded Overnight

Robinhood

On our busiest days, as much as 25% of the total daily trading volume has come from outside of traditional market hours Last year, Robinhood became the first US retail brokerage to offer 24/5 trading of single name stocks when we launched the Robinhood 24 Hour Market. The news cycle, world events, and market moving events like earnings often happen outside of US East Coast business hours.

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KX and Databricks Integration: Advancing Time-series Data Analytics in Capital Markets and Beyond

databricks

KX and Databricks have partnered to develop time series analytics solutions for the capital markets sector to support many use cases including quant.

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Streamline Your Machine Learning Workflow with Scikit-learn Pipelines

KDnuggets

Learn how to enhance the quality of your machine learning code using Scikit-learn Pipeline and ColumnTransformer.

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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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A Look Ahead at the Gartner Data & Analytics Summit

Cloudera

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics. We’re at a crucial point in time where the excitement and potential surrounding AI has elevated the importance of improving access to the mission-critical data that helps organizations implement it at scale.

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Simplifying BI pipelines with Snowflake dynamic tables

ThoughtSpot

Managing complex data pipelines is a major challenge for data-driven organizations looking to accelerate analytics initiatives. While AI-powered, self-service BI platforms like ThoughtSpot can fully operationalize insights at scale by delivering visual data exploration and discovery, it still requires robust underlying data management. Now, that’s changing.

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Easy and Secure LLM Inference and Retrieval Augmented Generation (RAG) Using Snowflake Cortex

Snowflake

Because human-machine interaction using natural language is now possible with large language models (LLMs), more data teams and developers can bring AI to their daily workflows. To do this efficiently and securely, teams must decide how they want to combine the knowledge of pre-trained LLMs with their organization’s private enterprise data in order to deal with the hallucinations (that is, incorrect responses) that LLMs can generate due to the fact that they’ve only been trained on data availabl

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Best Free Resources to Learn Data Analysis and Data Science

KDnuggets

This article introduces six top-notch, free data science resources ideal for aspiring data analysts, data scientists, or anyone aiming to enhance their analytical skills.

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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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Why Most Data Projects Fail & How to Avoid It at GOTO 2023

Jesse Anderson

I had the pleasure of being one of the speakers at GOTO Amsterdam 2023 where I talked about Why Most Data Projects Fail & How to Avoid It and I can’t wait to share this talk with you! Abstract: Unfortunately, the majority of data projects fail. Yet, they fail for the same reasons. Most management and data teams don’t know the reasons a project succeeds or fails.

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Top 10 Cloud Computing Companies of 2024

Knowledge Hut

In the digital era, the demand for cloud computing has increased like never before. It has brought about significant transformations in how businesses store, access, and share information. It allows organizations to carry out various tasks through the internet. Increased security, scalability, reduced costs, and better collaboration are a few benefits of cloud computing.

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Simplify PySpark testing with DataFrame equality functions

databricks

The DataFrame equality test functions were introduced in Apache Spark™ 3.5 and Databricks Runtime 14.2 to simplify PySpark unit testing. The full set o.

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5 Data Science Communities to Advance Your Career

KDnuggets

The best way to improve our knowledge is by learning together with communities.

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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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Bending pause times to your will with Generational ZGC

Netflix Tech

The surprising and not so surprising benefits of generations in the Z Garbage Collector. By Danny Thomas, JVM Ecosystem Team The latest long term support release of the JDK delivers generational support for the Z Garbage Collector. More than half of our critical streaming video services are now running on JDK 21 with Generational ZGC, so it’s a good time to talk about our experience and the benefits we’ve seen.

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5 Big Data Challenges in 2024

Knowledge Hut

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques. With the rise in opportunities related to Big Data, challenges are also bound to increase.

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Common Sense Product Recommendations using Large Language Models

databricks

Check out our LLM Solution Accelerators for Retail for more details and to download the notebooks. Product recommendations are a core feature of.

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5 Courses to Master LLMs

KDnuggets

The future world is full of LLM, and you don’t want to miss this most sought skill.

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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.