Sat.May 18, 2024 - Fri.May 24, 2024

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Enable stakeholder data access with Text-to-SQL RAGs

Start Data Engineering

1. Introduction 2. TL;DR 3. Enabling Stakeholder data access with RAGs 3.1. Set up 3.1.1. Pre-requisite 3.1.2. Demo 3.1.3. Key terminology 3.2. Loading: Read raw data and convert them into LlamaIndex data structures 3.2.1. Read data from structured and unstructured sources 3.2.2. Transform data into LlamaIndex data structures 3.3. Indexing: Generate & store numerical representation of your data 3.

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Where to Go Next in Your Data Career

KDnuggets

We are all looking for the right opportunities in our career. In the landscape of data-related careers, the roles can be grouped into classes, and future opportunities tend to follow natural migration paths between the class groups.

Data 154
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Introducing Databricks Assistant Autocomplete

databricks

We are excited to introduce Databricks Assistant Autocomplete now in Public Preview. This feature brings the AI-powered assistant to you in real-time, providing.

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Snowflake Expands Partnership with Microsoft to Improve Interoperability Through Apache Iceberg

Snowflake

Today we’re excited to announce an expansion of our partnership with Microsoft to deliver a seamless and efficient interoperability experience between Snowflake and Microsoft Fabric OneLake, in preview later this year. This will enable our joint customers to experience bidirectional data access between Snowflake and Microsoft Fabric, with a single copy of data with OneLake in Fabric.

Metadata 136
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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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WebSockets in Scala, Part 2: Integrating Redis and PostgreSQL

Rock the JVM

by Herbert Kateu 1. Introduction This article is a follow-up to the websocket article that was published previously. To recap, we created an in-memory chat application using WebSockets with the help of the Http4s library. The chat application had a variety of features implemented through commands directly in the chat window such as the ability to create users, create chat rooms, and switch between chat rooms.

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Learning System Design: Top 5 Essential Reads

KDnuggets

Explore system design with these expert-recommended books.

Designing 149

More Trending

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Snowflake Announces Agreement to Acquire TruEra AI Observability Platform to Bring LLM and ML Observability to the AI Data Cloud 

Snowflake

Accelerating enterprise AI use cases into production is now a board-level priority for most companies. However, one of the key challenges in AI today is ensuring that those use cases are ready for real-life use and continue to perform at a high level in production. Not only must enterprises ensure accurate, reliable, and valuable results they must also address and mitigate critical issues like bias, hallucinations, and toxicity.

Cloud 136
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Post-quantum readiness for TLS at Meta

Engineering at Meta

Today, the internet (like most digital infrastructure in general) relies heavily on the security offered by public-key cryptosystems such as RSA, Diffie-Hellman (DH), and elliptic curve cryptography (ECC). But the advent of quantum computers has raised real questions about the long-term privacy of data exchanged over the internet. In the future, significant advances in quantum computing will make it possible for adversaries to decrypt stored data that was encrypted using today’s cryptosystems.

Bytes 114
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Harvard’s Top Free Courses for Aspiring Data Scientists

KDnuggets

Do you want to start your data science journey? If yes, then these Harvard courses might be perfect to start.

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Announcing Mosaic AI Vector Search General Availability in Databricks

databricks

Following the announcement we made around a suite of tools for Retrieval Augmented Generation, today we are thrilled to announce the general availability.

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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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Snowflake Ventures Invests in Anvilogic to Redefine SIEM for Enterprises with Multi-Data Platform Flexibility and Gen AI at 80% Cost Savings

Snowflake

With the accelerated pace of AI innovation, cybersecurity organizations are looking for new ways to empower their team members and automate security operations. Cybersecurity teams increasingly use the Data Cloud to unify security data in a scalable analytics platform to improve threat detection and response. At the same time, most enterprises have invested in monolithic security information and event management (SIEM) platforms that they can’t easily move away from without a major disruption of

Data Lake 115
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Why Data Engineering Pays So Well …. For Some, and Poor For Others

Confessions of a Data Guy

If you’ve ever been in the market for a Data Engineering job, or you’re alive and on Linkedin, you’ve probably been constantly inundated with job postings and requests pounding on your emails like a constant mountain stream even bubbling down a hill. If that’s not the case, then head over to the quarterly salary discussion […] The post Why Data Engineering Pays So Well … For Some, and Poor For Others appeared first on Confessions of a Data Guy.

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Essential Python Libraries for Data Manipulation

KDnuggets

The must-know Python libraries to improve your data manipulation workflow.

Python 141
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Optimizing Databricks LLM Pipelines with DSPy

databricks

If you’ve been following the world of industry-grade LLM technology for the last year, you’ve likely observed a plethora of frameworks and tools.

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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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An introduction to query layers

ArcGIS

This blog exposes query layers capabilities in ArcGIS Pro through various scenarios to enhance your GIS workflows.

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Snowflake Startup Spotlight: TDAA!

Snowflake

Welcome to Snowflake’s Startup Spotlight, where we ask startup founders about the problems they’re solving, the apps they’re building and the lessons they’ve learned during their startup journey. In this edition, we’ll learn why the founders of data tools company TDAA, Andrew Curran and Jon Farr, chose Snowflake as the platform to deliver their app Pancake , as well as the ways they’re effectively leveraging the Snowflake Native App model.

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10 GitHub Repositories to Master Data Engineering

KDnuggets

Learn data engineering through free courses, tutorials, books, tools, guides, roadmaps, practice exercises, projects, and other resources.

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Introducing the Databricks AI Fund

databricks

We’re excited to announce the Databricks AI Fund, showcasing our commitment to supporting a new generation of founders and startups.

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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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New! Probabilities in Forest-based and Boosted Classification in ArcGIS Pro 3.3

ArcGIS

New! Probabilities in Forest-based and Boosted Classification in ArcGIS Pro 3.

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PMP Examples Application: Work Experience Examples, Projects

Knowledge Hut

You can find the online PMP exam application on the Project Management Institute (PMI)® website. It is essential you have the prerequisites for PMP application ready before you start the process. Demonstration that you are qualified to take the examination and that your expertise has covered all necessary domains is required. Do not let any discrepancy creep in at this stage to prevent you from obtaining your PMP credential.

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Quantization and LLMs: Condensing Models to Manageable Sizes

KDnuggets

High costs can make it challenging for small business deployments to train and power an advanced AI. Here is where quantization comes in handy.

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How Real-World Enterprises are Leveraging Generative AI

databricks

Generative AI (GenAI) is moving incredibly fast. So much so, that in less than two years, GenAI has emerged as one of the.

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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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Composable data management at Meta

Engineering at Meta

In recent years, Meta’s data management systems have evolved into a composable architecture that creates interoperability, promotes reusability, and improves engineering efficiency. We’re sharing how we’ve achieved this, in part, by leveraging Velox , Meta’s open source execution engine, as well as work ahead as we continue to rethink our data management systems.

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Data Scientist vs Full Stack Developer: What to Choose?

Knowledge Hut

When starting your career, it may seem like a daunting task to choose which path to take. Do you become a data scientist or Full stack developer? Both options have their benefits, but it can be tough to decide which is the right choice for you. In this blog post, we will help you to make that decision by highlighting the key differences between data science and Full stack development by comparing data scientist vs full stack developer.

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7 Steps to Mastering Data Cleaning with Python and Pandas

KDnuggets

Want to learn data cleaning with pandas? This tutorial will teach you everything you need to know.

Python 136
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Delta Sharing: Secure End-to-End Data Sharing Solution

databricks

In today's digital landscape, secure data sharing is critical to operational efficiency and innovation. Databricks and the Linux Foundation developed Delta Sharing as.

Data 115
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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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Virtualizing 3D training models with NVIDIA AI Enterprise

ArcGIS

Leverage VM Technology to to run 3D training models with NVIDIA AI Enterprise

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What is CIA Triad in Cyber Security and Why it is Important?

Knowledge Hut

In the CIA Triad in Cyber Security, you may picture a man in a black suit solving crime and running behind criminals; we are not talking about that. Our CIA triad is a fundamental cybersecurity model that acts as a foundation for developing security policies designed to protect data. Confidentiality, integrity, and availability are the three letters upon which the CIA triad stands.

IT 98
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A Guide to Working with SQLite Databases in Python

KDnuggets

Get started with SQLIte databases in Python using the built-in sqlite3 module.

Database 136
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Unveiling the Leaders in Data and AI: The 2024 Finalists for the Databricks Data Visionary Award

databricks

The Data Team Awards annually recognize the indispensable roles of enterprise data teams across industries, celebrating their resilience and innovation from around the.

Data 105
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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