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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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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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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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.

SQL 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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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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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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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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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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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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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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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.

BI 87
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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 »

MongoDB 87
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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 88
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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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How to Make Your Own Google Chrome Extension?

Workfall

Reading Time: 9 minutes Google Chrome Google Chrome is a widely-used web browser developed by Google. It was first released in September 2008 and has since become one of the most popular and dominant web browsers in the world. Google Chrome is available for multiple platforms, including Windows, macOS, Linux, iOS, and Android. Google Chrome Extension A Google Chrome extension is a small software program that extends the functionality of the Google Chrome web browser.

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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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Tired of your Data Engineering Role?

Towards Data Science

How I made the transition to an analytics engineer Photo by Campaign Creators on Unsplash A few years ago, I was at a point where I was feeling unfulfilled in my career. I had been working in data engineering for three years and the initial excitement of starting in the world of tech had faded. I was beginning to realize that I wasn’t as passionate about my work as I had hoped.

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7 Projects Built with Generative AI

KDnuggets

Learn how to build a strong portfolio with personal projects using Generative AI. This will help you to stand out from the crowd!

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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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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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.

Data 98
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What’s it like to interview at Lyft? Our recruiting team spills the secrets.

Lyft Engineering

Interviewing with a tech company doesn’t have to be overwhelming! Lyft’s team of recruiters supports our talented candidates through every step of the process, from the first getting-to-know-you call, all the way through the offer letter. Our goal is to make your recruiting journey smooth and predictable — and to give you the best opportunity to demonstrate your strengths, learn from our incredible team, and walk away from each conversation with a smile!

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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 Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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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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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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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 »

SQL 90
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How Cloud Computing Enhances Data Science Workflows

KDnuggets

Cloud computing offers the efficiency, scalability, and security data science workflows need. Discover how it provides these benefits here.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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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.

Process 75
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Announcing the DataOps Cookbook, Third Edition

DataKitchen

Since the first edition of the DataOps Cookbook in 2019, we have talked with thousands of companies about their struggles to deliver data-driven insight to their customers. In many ways, they all have the same problems. They have built data and analytic systems with great hope of success. Still, they are burdened with too many errors, are overwhelmed with custom requests, and know they fail to succeed in their goal of leading their organizations to be more data-driven.

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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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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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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.