Sat.Feb 03, 2024 - Fri.Feb 09, 2024

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Top 5 AI Coding Assistants You Must Try

KDnuggets

Discover the top AI coding assistants that can 10X your productivity overnight - #5 has the best autocomplete feature, and #1 is the most advanced code assistant tool ever seen!

Coding 146
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Tackling Real Time Streaming Data With SQL Using RisingWave

Data Engineering Podcast

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. RisingWave is a database engine that was created specifically for stream processing, with S3 as the storage layer. In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable.

SQL 173
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Simple Precision Time Protocol at Meta

Engineering at Meta

While deploying Precision Time Protocol (PTP) at Meta, we’ve developed a simplified version of the protocol (Simple Precision Time Protocol – SPTP), that can offer the same level of clock synchronization as unicast PTPv2 more reliably and with fewer resources. In our own tests, SPTP boasts comparable performance to PTP, but with significant improvements in CPU, memory, and network utilization.

Utilities 130
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Table file formats - streaming writer: Delta Lake

Waitingforcode

The previous blog from the series we discovered streaming reader. However, an end-to-end streaming Delta Lake pipeline also requires a writer which will be our focus today.

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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

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5 FREE Courses on AI and ChatGPT to Take You From 0-100

KDnuggets

Want to learn more about AI and ChatGPT in 2024 for FREE? Keep reading.

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Data News — Week 24.05

Christophe Blefari

hey ( credits ) Hello here, this is Christophe from Amsterdam. I hope you're doing good. I'm in Amsterdam for the day for the DuckCon #4. The DuckDB annual conference, and god I like Europe. Being able to travel by train from Berlin to Paris to Amsterdam while going to the west of France for a lecture in a week is something truly awesome. Anyway this week will be a mixed Data News with links, stuff and ideas and a small wrap-up of the DuckCon + the stuff I presented on Wed. to a Modern

MongoDB 130

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Welcome Noteable: Making Data Streaming Easier and More Approachable

Confluent

Confluent has hired many Noteable employees to help make application development easier for both Kafka and Flink developers.

Kafka 127
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5 Free Courses to Master Python for Data Science

KDnuggets

Want to learn Python to kickstart your career in data? Here are five free courses to help you master Python for data science.

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5 Steps to Data Diversity: More Diverse Data Makes for Smarter AI

Snowflake

In an iconic Top Gun scene , Charlie tells Maverick that a maneuver is impossible. Maverick replies, “The data on the MIG is inaccurate.” In the more recent sequel, despite his extensive, firsthand knowledge, Maverick is told “ the future’s coming and you’re not in it. ” While flying may be more automated now, the importance of accurate and diverse data for aviation safety remains — and is likely even more critical.

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Furthering Our Commitment to Responsible AI Development Through Industry and Government Organizations

databricks

At Databricks, we've upheld principles of responsible development throughout our long-standing history of building innovative data and AI products. We are committed to.

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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.

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IoT Data Streaming for Building Private Wireless Networks

Confluent

Confluent enables real-time, reliable, scalable, and secure communication between IoT devices, applications, and backend systems. Streamline data processing and unlock analytics to boost productivity and time to market while lowering infrastructure costs.

Building 119
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5 Cheap Books to Master Machine Learning

KDnuggets

Machine Learning is a skill that everyone should have, and these cheap books would facilitate that learning process.

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Top 5 Data + AI Predictions for Financial Services in 2024

Snowflake

Generative AI tops every list of major financial services trends for 2024. And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data. Its predictive capabilities can help leaders anticipate market trends and make more informed decisions, improving financial outcomes for customers as well as

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Infographic design in Business Analyst: Best practices for layers and display modes

ArcGIS

Best practices for using layers and different display modes in Infographic templates in ArcGIS Business Analyst and Community Analyst

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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.

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Linking the unlinkables; simple, automated, scalable data linking with Databricks ARC

databricks

In April 2023 we announced the release of Databricks ARC to enable simple, automated linking of data within a single table. Today we.

Data 111
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Breaking Down DENSE_RANK(): A Step-by-Step Guide for SQL Enthusiasts

KDnuggets

This article introduced you to the world of ranking functions in SQL. We will cover the basics of how they work, how they're used, and how to avoid common pitfalls.

SQL 140
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Top 3 Data + AI Predictions for Manufacturing in 2024

Snowflake

Investment in AI for manufacturing is expected to grow by 57% by 2026. That’s hardly surprising — with AI’s ability to augment worker productivity, improve efficiency and drive innovation, its potential in manufacturing is vast. AI’s predictive capabilities can help manufacturing leaders anticipate market trends and make data-driven decisions, creating financial opportunities for suppliers as well as customers.

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Health Care Outside of the Box

Cloudera

How enterprise-grade data management creates better and more efficient care. In the last few years, the acceptance of telehealth has become more widespread as patients and providers found they could maintain continuity through phone and video collaboration, instead of in-person visits. In many cases, a level of care that once required a drive to the clinic or hospital could be delivered over a mobile phone or laptop, with no travel and no waiting room.

Medical 104
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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

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US Air Force Hackathon: How Large Language Models Will Revolutionize USAF Flight Test

databricks

What is the US Air Force (USAF) Hackathon? The Air Force Test Center (AFTC) Data Hackathon is a consortium of test experts across.

Data 105
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Sentiment Analysis in Python: Going Beyond Bag of Words

KDnuggets

This code based tutorial provides a brief introduction to Sentiment Analysis, a method used to predict emotions, similar to a digital psychologist.

Python 140
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Snowflake Improves Query Duration by 20% on Stable Workloads Since We Began Tracking the Snowflake Performance Index

Snowflake

Earlier this year at Snowflake Summit, we announced the public launch of the Snowflake Performance Index (SPI), an aggregate index for measuring real-world improvements in Snowflake performance experienced by customers over time. In this post, we provide our biannual update to showcase the latest improvements. The Snowflake performance philosophy Our product philosophy revolves around a continuous quest to enhance Snowflake performance, with a particular focus on refining the core database engin

SQL 104
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Unapologetically Technical Episode 8 – Tom Scott

Jesse Anderson

It has been quite a while, but we’re finally back to a new episode this year! In this episode of Unapologetically Technical, I interview Tom Scott, the Founder and CEO of Streambased. Join us as we talk about distributed systems and how he created distributed or what we call the Monte Carlo simulations. We also talk about his work across various companies like how he created and ran a data warehouse at Sky Betting, his work at Cloudera doing Customer Operations Engineering, and how that he

Hadoop 100
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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

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LIMIT: Less is More for Instruction Tuning

databricks

Pretrained large language models aren’t particularly good at responding in concise, coherent sentences out of the box. At a minimum, they have to b.

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A Data Lake, You Call It? It’s a Data Swamp

KDnuggets

How and why the data lake architecture often fails to meet its promises. And how better governance helps mitigate such challenges.

Data Lake 140
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Building a Data Platform in 2024

Towards Data Science

How to build a modern, scalable data platform to power your analytics and data science projects (updated) Table of Contents: What’s changed? The Platform Integration Data Store Transformation Orchestration Presentation Transportation Observability Closing What’s changed? Since 2021, maybe a better question is what HASN’T changed? Stepping out of the shadow of COVID, our society has grappled with a myriad of challenges — political and social turbulence, fluctuating financial landscapes, the surge

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DevOps Roadmap to Become a Successful DevOps Engineer

Knowledge Hut

“DevOps is a combination of best practices , culture, mindset, and software tools to deliver a high quality and reliable product faster ” DevOps agile thinking drives towards an iterated continuous development model with higher velocity, reduced variations and better global visualization of the product flow. These three “V's" are achieved with synchronizing the teams and implementing CI/CD pipelines that automate the SDLC repetitive and complex processes in terms of continuous integration of cod

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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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From Cloud-native to Hybrid and back again

Picnic Engineering

From Cloud-native to Hybrid and back again: Picnic’s on-premises computing journey Many companies are working on their digital transformation, transitioning their traditional on-premises deployment to a cloud setup. Other companies, such as Picnic, have started in the cloud and are running a modern cloud native tech stack from the outset. Picnic’s infrastructure design focuses on a rapidly scalable cloud solution.

Cloud 97
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Books, Courses, and Live Events to Learn Generative AI with O’Reilly

KDnuggets

If you are new to generative AI or an expert who wants to learn more, O’Reilly offers a range of resources to kickstart your generative AI journey.

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Data Model Design 101: Composite vs Surrogate Keys

Towards Data Science

When to know which type of key to use in your data models Continue reading on Towards Data Science »

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Materialized Views in Hive for Iceberg Table Format

Cloudera

Overview This blog post describes support for materialized views for the Iceberg table format. Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations. It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same

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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