July, 2024

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My Obsidian Note-Taking Workflow

Simon Späti

A Vim-Inspired Approach to Efficient Note Management with Obsidian and Markdown

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What are the types of data quality checks?

Start Data Engineering

1. Introduction 2. Data Quality(DQ) checks are run as part of your pipeline 2.1. Ensure your consumers don’t get incorrect data with output DQ checks 2.2. Catch upstream issues quickly with input DQ checks 2.3. Waiting a long time to run output DQ checks? Save time & money with mid-pipeline DQ checks. 2.4. Track incoming and outgoing row counts with Audit logs 3.

Data 214
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PyArrow vs Polars (vs DuckDB) for Data Pipelines.

Confessions of a Data Guy

I’ve had something rattling around in the old noggin for a while; it’s just another strange idea that I can’t quite shake out. We all keep hearing about Arrow this and Arrow that … seems every new tool built today for Data Engineering seems to be at least partly based on Arrow’s in-memory format. So, […] The post PyArrow vs Polars (vs DuckDB) for Data Pipelines. appeared first on Confessions of a Data Guy.

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5 Tools Every Data Scientist Needs in Their Toolbox in 2024

KDnuggets

From the soft tools to the hard tools, these are what make a data scientist successful.

Data 154
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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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A New Standard in Open Source AI: Meta Llama 3.1 on Databricks

databricks

We are excited to partner with Meta to release the Llama 3.1 series of models on Databricks, further advancing the standard of powerful.

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The software engineering industry in 2024: what changed, why, and what is next

The Pragmatic Engineer

The past 18 months have seen major change reshape the tech industry. What does it all mean for businesses and dev teams – and what will pragmatic software engineering approaches look like in the future? I tackled these burning questions in my conference talk, “What’s Old is New Again,” which was the keynote of the Craft Conference in May 2024.

More Trending

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How to implement data quality checks with greatexpectations

Start Data Engineering

1. Introduction 2. Project overview 3. Check your data before making it available to end-users; Write-Audit-Publish(WAP) pattern 4. TL;DR: How the greatexpectations library works 4.1. greatexpectations quick setup 5. From an implementation perspective, there are four types of tests 5.1. Running checks on one dataset 5.2. Checks involving the current dataset and its historical data 5.3.

Datasets 208
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Data News — Week 24.30

Christophe Blefari

Tallinn ( credits ) Dear members, it's Summer Data News, the only news you can consume by the pool, the beach or at the office—if you're not lucky. This week, I'm writing from the Baltics, nomading a bit in Eastern and Northern Europe. I'm pleased to announce that we have successfully closed the CfP for Forward Data Conf, we received nearly 100 submissions and the program committee is currently reviewing all submissions.

MySQL 130
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How ChatGPT is Changing the Face of Programming

KDnuggets

Empowering Developers and Transforming Programming Practices

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Enhancing LLM-as-a-Judge with Grading Notes

databricks

Evaluating long-form LLM outputs quickly and accurately is critical for rapid AI development. As a result, many developers wish to deploy LLM-as-judge methods.

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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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DAIS 2024: Testing framework from the Dataflow model for Apache Spark Structured Streaming

Waitingforcode

With this blog I'm starting a follow-up series for my Data+AI Summit 2024 talk. I missed this family of blog posts a lot as the previous DAIS with me as speaker was 4 years ago! As previously, this time too I'll be writing several blog posts that should help you remember the talk and also cover some of the topics left aside because of the time constraints.

Data 130
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9 Habits Of Effective Data Managers – Running A Data Team

Seattle Data Guy

Running a successful data team is hard. Data teams are expected to juggle a combination of ad-hoc requests, big bet projects, migrations, etc. All while keeping up with the latest changes in technology. In the past few years I have gotten to work with dozens of teams and see how various directors and managers deal… Read more The post 9 Habits Of Effective Data Managers – Running A Data Team appeared first on Seattle Data Guy.

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How to make a “peeled edge” area of interest effect in ArcGIS Pro

ArcGIS

Catch eyes and imaginations with this fun technique that draws attention to your area of interest with a bit of style!

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Data News — Week 24.28

Christophe Blefari

EuroSeagull ( credits ) Dear members, it's been a few weeks since I did not catch you on a proper Data News with a collection of links. Here we are. This week, I attended EuroPython in Prague. While I spent most of my time at the dltHub booth in the sponsors hall, I didn't attend many talks. However, I did give a few presentations on my SQL orchestration library, yato , which pairs well with dlt.

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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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Building Data Science Pipelines Using Pandas

KDnuggets

Learn to build the end-to-end data science pipelines from data ingestion to data visualization using Pandas pipe method.

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Announcing Mosaic AI Agent Framework and Agent Evaluation

databricks

Databricks announced the public preview of Mosaic AI Agent Framework & Agent Evaluation alongside our Generative AI Cookbook at the Data + AI.

Data 142
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Data+AI Summit 2024 - Retrospective - Streaming

Waitingforcode

Welcome to the first Data+AI Summit 2024 retrospective blog post. I'm opening the series with the topic close to my heart at the moment, stream processing!

Data 130
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SQL or Python for Data Transformations?

Start Data Engineering

1. Introduction 2. Code is an interface to the execution engine 3. How to choose the execution engine and the coding interface 3.1. Chose execution engine based on your workload 3.1.1. Types of execution engine 3.1.2. Criteria to chose your execution engine 3.2. Chose coding interface for people who will maintain the pipeline 3.2.1. Types of coding interfaces 3.2.2.

SQL 130
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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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Snowflake Admins Can Now Enforce Mandatory MFA

Snowflake

Snowflake is committed to helping customers protect their accounts and data. That’s why we have been working on product capabilities that allow Snowflake admins to make multifactor authentication (MFA) mandatory and monitor compliance with this new policy. As part of that effort, today we’re announcing several key features: 1. A new authentication policy that requires MFA for all users in a Snowflake account 2.

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Create a Digital Twin in Seven Days with ArcGIS

ArcGIS

Creation of a Digital Twin in Seven Days with ArcGIS in Zurich

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Landing a Data Engineer Role: Free Courses and Certifications

KDnuggets

Is it possible to learn data engineering for free? I claim it is and present the evidence for that in the form of 10 free data engineering courses.

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Introducing Mosaic AI Model Training for Fine-Tuning GenAI Models

databricks

Today, we're thrilled to announce that Mosaic AI Model Training's support for fine-tuning GenAI models is now available in Public Preview. At Databricks.

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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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New with Confluent Platform: Enhanced security with OAuth Support, Confluent Platform for Apache Flink® (LA), a new Connector, and More

Confluent

Confluent Platform 7.

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Data Engineering Weekly #181

Data Engineering Weekly

Editor’s Note: A New Series on Data Engineering Tools Evaluation There are plenty of data tools and vendors in the industry. But how can we choose a tool for the specific need? The traditional evaluation of running PoC on all the selected vendor tools is time-consuming and practically unviable for growth-driven companies. Data Engineering Weekly is launching a new series on software evaluation focused on data engineering to better guide data engineering leaders in evaluating data tools.

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AI Lab: The secrets to keeping machine learning engineers moving fast

Engineering at Meta

The key to developer velocity across AI lies in minimizing time to first batch (TTFB) for machine learning (ML) engineers. AI Lab is a pre-production framework used internally at Meta. It allows us to continuously A/B test common ML workflows – enabling proactive improvements and automatically preventing regressions on TTFB. AI Lab prevents TTFB regressions whilst enabling experimentation to develop improvements.

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Enhanced 3D Layers in ArcGIS

ArcGIS

Esri is working with partners (Maxar, TomTom) to enhance our 3D basemaps with high-quality commercial data for elevation and buildings layers.

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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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Tools Every Data Scientist Should Know: A Practical Guide

KDnuggets

Discover the essential tools every data scientist should know to elevate their data science game, from Python and R to SQL and advanced visualization tools.

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Databricks on Databricks: Kicking off the Journey to Governance with Unity Catalog

databricks

In this blog, we are excited to share Databricks's journey in migrating to Unity Catalog for enhanced data governance. We'll discuss our high-level strategy and the tools we developed to facilitate the migration. Our goal is to highlight the benefits of Unity Catalog and make you feel confident about transitioning to it.

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Snowflake Cortex Search: State-of-the-Art Hybrid Search for RAG Applications

Snowflake

Snowflake Cortex Search, a fully managed search service for documents and other unstructured data, is now in public preview. With Cortex Search, organizations can effortlessly deploy retrieval-augmented generation (RAG) applications with Snowflake, powering use cases like customer service, financial research and sales chatbots. Cortex Search offers state-of-the-art semantic and lexical search over your text data in Snowflake behind an intuitive user interface, and it comes with the robust securi

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The Abstractions Are Making You Dumb (rise of the Shallow Expert)

Confessions of a Data Guy

When I was young and full of myself, writing Perl and PHP, while your ma was still reading you a bedtime story and giving you a stuffy to fall asleep with, I had to program uphill, both ways, in the rain and snow. Not like you milk toast Data Engineers clickty clicking around Databricks and […] The post The Abstractions Are Making You Dumb (rise of the Shallow Expert) appeared first on Confessions of a Data Guy.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.