Sat.Nov 16, 2024 - Fri.Nov 22, 2024

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8 Essential Data Pipeline Design Patterns You Should Know

Monte Carlo

Let’s set the scene: your company collects data, and you need to do something useful with it. Whether it’s customer transactions, IoT sensor readings, or just an endless stream of social media hot takes, you need a reliable way to get that data from point A to point B while doing something clever with it along the way. That’s where data pipeline design patterns come in.

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GHC's wasm backend now supports Template Haskell and ghci

Tweag

Two years ago I wrote a blog post to announce that the GHC wasm backend had been merged upstream. I’ve been too lazy to write another blog post about the project since then, but rest assured, the project hasn’t stagnated. A lot of improvements have happened after the initial merge, including but not limited to: Many, many bugfixes in the code generator and runtime, witnessed by the full GHC testsuite for the wasm backend in upstream GHC CI pipelines.

Coding 137
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10 Python Libraries Every Data Analyst Should Know

KDnuggets

Interested in data analytics? Here's a list of Python libraries you cannot do without.

Python 143
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How to present and share your Notebook insights in AI/BI Dashboards

databricks

We’re excited to announce a new integration between Databricks Notebooks and AI/BI Dashboards, enabling you to effortlessly transform insights from your notebooks into.

BI 132
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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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From IC to Data Leader: Key Strategies for Managing and Growing Data Teams

Seattle Data Guy

There are plenty of statistics about the speed at which we are creating data in today’s modern world. On the flip side of all that data creation is a need to manage all of that data and thats where data teams come in. But leading these data teams is challenging and yet many new data… Read more The post From IC to Data Leader: Key Strategies for Managing and Growing Data Teams appeared first on Seattle Data Guy.

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What do Snowflake, Databricks, Redshift, BigQuery actually do?

Start Data Engineering

1. Introduction 2. Analytical databases aggregate large amounts of data 3. Most platforms enable you to do the same thing but have different strengths 3.1. Understand how the platforms process data 3.1.1. A compute engine is a system that transforms data 3.1.2. Metadata catalog stores information about datasets 3.1.3. Data platform support for SQL, Dataframe, and Dataset APIs 3.1.4.

Metadata 130

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Celebrating Innovation: Announcing the Finalists of the Databricks Generative AI Startup Challenge

databricks

We are thrilled to unveil the finalists for the Databricks Generative AI Startup Challenge , a competition designed to spotlight innovative early-stage startups.

Designing 132
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Challenges You Will Face When Parsing PDFs With Python – How To Parse PDFs With Python

Seattle Data Guy

Scraping data from PDFs is a right of passage if you work in data. Someone somewhere always needs help getting invoices parsed, contracts read through, or dozens of other use cases. Most of us will turn to Python and our trusty list of Python libraries and start plugging away. Of course, there are many challenges… Read more The post Challenges You Will Face When Parsing PDFs With Python – How To Parse PDFs With Python appeared first on Seattle Data Guy.

Python 130
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Connect with Confluent Q4 Update: New Program Entrants and SAP Datasphere Hydration

Confluent

Confluent’s CwC partner program introduces bidirectional data streaming for SAP Datasphere, powered by Apache Kafka and Apache Flink; CwC Q4 2024 new entrants.

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7 Advanced SQL Techniques for Data Manipulation in Data Science

KDnuggets

Can SQL be used for advanced data manipulation in data science? It sure can with these seven techniques.

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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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Introducing Predictive Optimization for Statistics

databricks

We are excited to introduce the gated Public Preview of Predictive Optimization for statistics. Announced at the Data + AI Summit, Predictive Optimization.

Data 113
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Composable CDPs for Travel: Personalizing Guest Experiences with AI

Snowflake

As travelers increasingly expect personalized experiences, brands in the travel and hospitality industry must find innovative ways to leverage data in their marketing and product experiences. That said, managing vast, complex data sets across multiple brands, loyalty programs and guest touchpoints presents unique challenges for companies in this industry.

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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies.

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Run Local LLMs with Cortex

KDnuggets

Check out this local AI model manager similar to Ollama, but better.

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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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Introducing an exclusively Databricks-hosted Assistant

databricks

We’re excited to announce that the Databricks Assistant , now fully hosted and managed within Databricks, is available in public preview! This version.

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DuckDB … reading from s3 … with AWS Credentials and more.

Confessions of a Data Guy

In my never-ending quest to plumb the most boring depths of every single data tool on the market, I found myself annoyed when recently using DuckDB for a benchmark that was reading parquet files from s3. What was not clear, or easy, was trying to figure out how DuckDB would LIKE to read default AWS […] The post DuckDB … reading from s3 … with AWS Credentials and more. appeared first on Confessions of a Data Guy.

AWS 113
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Secrets of Spark to Snowflake Migration Success: Customer Stories

Snowflake

Today’s business landscape is increasingly competitive — and the right data platform can be the difference between teams that feel empowered or impaired. I love talking with leaders across industries and organizations to hear about what’s top of mind for them as they evaluate various data platforms. In these conversations, there are a number of questions that I hear time and time again: Will my data platform be scalable and reliable enough?

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Exploring Ethics and Morality Through Machine Intelligence

KDnuggets

This article examines the challenges of aligning machine behavior with human values, and the role of ethical frameworks in shaping responsible AI.

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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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Automating Unity Catalog Upgrade Workflows with UCX

databricks

As organizations increasingly leverage the Databricks Data Intelligence Platform for data and AI needs, upgrading to Unity Catalog is a key step in.

Data 105
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Automation and Data Integrity: A Duo for Digital Transformation Success

Precisely

Key Takeaways: Harness automation and data integrity unlock the full potential of your data, powering sustainable digital transformation and growth. Data and processes are deeply interconnected. Successful digital transformation requires you to optimize both so that they work together seamlessly. Simplify complex SAP® processes with automation solutions that drive efficiency, reduce costs, and empower your teams to act quickly.

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CDC and Data Streaming: Capture Database Changes in Real Time with Debezium PostgreSQL Connector

Confluent

CDC has evolved to become a key component of data streaming platforms, and is easily enabled by managed connectors such as the Debezium PostgreSQL CDC connector.

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Pursue a Master’s in Data Science with the 4th Best Online Program

KDnuggets

100% online master’s program with flexible schedules designed for working professionals. Enrolling now for March 3rd.

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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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Databricks training invests in closing the data + AI skills gap across enterprises

databricks

The Data + AI Skills Gap The “skills gap” has been a concern for CEOs and leaders for many years, and the gap.

Data 105
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Expert Insights for Your 2025 Data, Analytics, and AI Initiatives

Precisely

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies.

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Change Data Capture at Pinterest

Pinterest Engineering

Liang Mou; Staff Software Engineer, Logging Platform | Elizabeth (Vi) Nguyen; Software Engineer I, Logging Platform | In today’s data-driven world, businesses need to process and analyze data in real-time to make informed decisions. Change Data Capture (CDC) is a crucial technology that enables organizations to efficiently track and capture changes in their databases.

Kafka 47
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A Guide to Data Analysis in Python with DuckDB

KDnuggets

Learn how to perform data analysis in Python using DuckDB.

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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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Announcing comprehensive Azure Private Link coverage for outbound access to your managed Azure resources

databricks

We are excited to announce that Azure Private Link is now Generally Available (GA) for Databricks serverless and Mosaic AI Model Serving workloads.

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The No-Panic Guide to Building a Data Engineering Pipeline That Actually Scales

Monte Carlo

Your data engineering pipeline started simple: a few CSV exports, some Python scripts, and manual updates every week. Back then, it worked just fine for your small team and handful of customers. But now? Your user base has quintupled, analytics requests are piling up, and that trusty Python script crashes more often than it runs. You’re left wondering if there’s a breaking point where your DIY data solution won’t cut it anymore—and honestly, you might be there already.

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Your Data Quality Checks Are Worth Less (Than You Think)

Towards Data Science

How to deliver outsized value on your data quality program Continue reading on Towards Data Science »

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Integrating Language Models into Existing Software Systems

KDnuggets

Improving existing software systems, making them more robust and capable of solving complex contemporary problems.

Systems 127
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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.