Sat.Aug 19, 2023 - Fri.Aug 25, 2023

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16+ fascinating Big data examples

InData Labs

The world is generating an unprecedented amount of data every second. From online transactions and social media interactions to sensor readings and scientific research, the sheer volume, velocity, and variety of data have given rise to the concept of “Big data.” This vast ocean of information holds immense potential, capable of revolutionizing industries, driving innovation, Запись 16+ fascinating Big data examples впервые появилась InData Labs.

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How Games Typically Get Built

The Pragmatic Engineer

👋 Hi, this is Gergely with a bonus, free issue of the Pragmatic Engineer Newsletter. In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. In this article, we cover one out of for topics from the past newsletter issue Game Development Basics. To get the full issues, twice a week, subscribe here.

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ELT vs ETL: Unveiling the Differences and Similarities

Analytics Vidhya

Introduction In today’s data-driven world, seamless data integration plays a crucial role in driving business decisions and innovation. Two prominent methodologies have emerged to facilitate this process: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT). In this article, we will discuss ELT vs ETL, comparing their characteristics, benefits, and suitability for various use cases. […] The post ELT vs ETL: Unveiling the Differences and Similarities appeared first on Ana

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The Case of the Mysterious Recursive CTE

Confessions of a Data Guy

I still remember that day. A day that shall live on in infamy in my mind. Well over a decade ago, in the days when SQL Server roamed the land devouring souls on the Altar of Stored Procedures. There was only one tool available at the time. SQL. That’s it. There was one problem that […] The post The Case of the Mysterious Recursive CTE appeared first on Confessions of a Data Guy.

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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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Table file formats - commits: Delta Lake

Waitingforcode

One of the great features of modern table file formats is the ability to handle write conflicts. It wouldn't be possible without commits that are the topic of this new blog post.

IT 130
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Harnessing Generative AI For Creating Educational Content With Illumidesk

Data Engineering Podcast

Summary Generative AI has unlocked a massive opportunity for content creation. There is also an unfulfilled need for experts to be able to share their knowledge and build communities. Illumidesk was built to take advantage of this intersection. In this episode Greg Werner explains how they are using generative AI as an assistive tool for creating educational material, as well as building a data driven experience for learners.

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More Trending

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Streamlit and MongoDB: Storing Your Data in the Cloud

Towards Data Science

Deploying your Streamlit app to the Cloud means that any data that you create with that app disappears when the app terminates — unless… Continue reading on Towards Data Science »

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Using MLflow AI Gateway and Llama 2 to Build Generative AI Apps

databricks

To build customer support bots, internal knowledge graphs, or Q&A systems, customers often use Retrieval Augmented Generation (RAG) applications which leverage pre-trained models.

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2023 Esri User Conference: ArcGIS Survey123 Team’s Top Picks

ArcGIS

Dive into the ArcGIS Survey123 team's curated picks from the 2023 Esri User Conference. Learn new tools and tips to help elevate your work.

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How to Ace Data Scientist Professional Certificate Exam

KDnuggets

Gain insights into the certification process and expert tips for passing the certificate exam.

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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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Sidestep the BI BS: 6 questions to ask before signing a contract

ThoughtSpot

I recently watched the movie Air. I absolutely loved it. Note: if you don’t want spoilers, you may want to skip the next two paragraphs. Air is a story chronicling how Nike, the underdog in those days, steals Michael Jordan away from Adidas and Converse. With the cards stacked against Nike—they had a much smaller budget than their big-brand competitor, Adidas—it was conventionally assumed that Michael was better off signing with a more established brand.

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Introducing "Ask Databricks": Your Direct Line to Our Product Experts!

databricks

We are delighted to announce that we are partnering with our friends at Advancing Analytics to launch an exciting new live streaming series.

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How to make this animated map of blue whale migration

ArcGIS

Animal migration data is a treat, and an honor, to work with. Here's how you can make an animation of these amazing journeys.

Data 98
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Top Posts August 14-20: How to Use ChatGPT to Convert Text into a PowerPoint Presentation

KDnuggets

How to Use ChatGPT to Convert Text into a PowerPoint Presentation • 5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science • Forget ChatGPT, This New AI Assistant Is Leagues Ahead and Will Change the Way You Work Forever • Python Vector Databases and Vector Indexes: Architecting LLM Apps • 3 Ways to Access GPT-4 for Free

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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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Top 5 questions Data Engineers should ask before joining a startup

Towards Data Science

Advice from a startup founder in the data space on how to find a startup that works for you Photo by Leeloo Thefirst from Pexels.com So you want to join a startup huh? I’m not talking about a fancy Series E startup that’s about to go IPO funded by a16z. I’m talking about a real startup, from seed to series B — where every day can feel like you’re either about to soar or crash and burn — and there’s little in between.

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Powering Renewable Energy with Data Streaming

Confluent

How real-time data streaming is powering peer-to-peer trading of renewable energy with ever-increasing data volumes.

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ThoughtSpot’s new In-App Support empowers data confidence for all users

ThoughtSpot

In the past, it was commonly believed that only administrators or designated support contacts benefited from live product support. But that shortsighted view fails to acknowledge the reality that every user—be you an occasional business user, tenured analyst, or in-the-weeds IT administrator—can encounter roadblocks and require assistance. That's why our new In-App Support is available to all users worldwide, regardless of their role.

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The Best Courses for AI from Universities with YouTube Playlists

KDnuggets

Kickstart a new career or develop your current one with these YouTube playlists by trusted Universities!

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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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How to Automate PySpark Pipelines on AWS EMR With Airflow

Towards Data Science

Optimising big data workflows orchestration Continue reading on Towards Data Science »

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Developing a Career at Confluent: Collaboration Is Key

Confluent

Senior software engineer Yash Mayya talks about his career path to Confluent and working on Kafka Connect.

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Processing Uncommon File Formats at Scale with MapInPandas and Delta Live Tables

databricks

An assortment of file formats In the world of modern data engineering, the Databricks Lakehouse Platform simplifies the process of building reliable streaming.

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GPT-4: 8 Models in One; The Secret is Out

KDnuggets

GPT4 kept the model secret to avoid competition, now the secret is out!

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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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A Comprehensive Guide on Common Table Expression in SQL

Towards Data Science

Back To Basics | Simplifying Complex Queries and Enhancing Readability Continue reading on Towards Data Science »

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Organizing Generative AI Teams: 5 Lessons Learned From Data Science

Monte Carlo

You did it! After executive leadership vaguely promised stakeholders that new Gen AI features would be incorporated across the organization, your tiger team sprinted to produce a MVP that checks the box. Integrating that OpenAI API into your application wasn’t that difficult and it may even turn out to be useful. But now what happens? Tiger teams can’t sprint forever.

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How ActionIQ Integrates with Databricks Lakehouse Part Two: Step-by-Step Workflow to Activate Propensity Modeling

databricks

In our previous blog post, we discussed how ActionIQ partners with Databricks to address the key challenge organizations face in achieving their personalization.

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Learn Data Science and Business Analytics to Drive Innovation and Growth

KDnuggets

This article provides an overview of data science and business analytics. It also provides a brief introduction to the importance of these topics for your business.

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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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Airflow 2.7 Is Now Out

Towards Data Science

Here are the most important feature updates that will make your life easier and save you time Continue reading on Towards Data Science »

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Dashboard Design That Dazzles Your CEO

FreshBI

Understanding the CEO’s Design Perspective To design a dashboard suited for your CEO, it is required to think like a CEO, get into the mind of a CEO. If anyone on the team understands the importance of good design, then it's often the CEO. CEOs prioritize and understand the importance of good design so well that they often take it for granted that the products that they build and that they surround themselves with, are designed well - for beauty and for function.

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Fine-Tuning Improves the Performance of Meta’s Code Llama on SQL Code Generation 

Snowflake

Based on Snowflake’s testing, Meta’s newly released Code Llama models perform very well out-of-the-box. Code Llama models outperform Llama2 models by 11-30 percent-accuracy points on text-to-SQL tasks and come very close to GPT4 performance. Fine-tuning decreases the gap between Code Llama and Llama2, and both models reach state-of-the-art (SOTA) performance.

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Things You Should Know When Scaling Your Web Data-Driven Product

KDnuggets

Scaling your data-driven product helps grow your business, but it requires certain expertise. In this article, you will learn how scaling works and what to keep in mind while doing it.

Data 108
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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