Trending Articles

article thumbnail

Interesting startup idea: benchmarking cloud platform pricing

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 section from this week’s from last week’s The Pulse issue. To get full issues twice a week, subscribe here.

Cloud 130
article thumbnail

How to use nested data types effectively in SQL

Start Data Engineering

1. Introduction 2. Code & Data 3. Using nested data types effectively 3.1. Use STRUCT for one-to-one & hierarchical relationships 3.2. Use ARRAY[STRUCT] for one-to-many relationships 3.3. Using nested data types in data processing 3.3.1. STRUCT enables more straightforward data schema and data access 3.3.2. Nested data types can be sorted 3.3.3.

SQL 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Open source business model struggles at WordPress

The Pragmatic Engineer

Automattic, creator of Wordpress, is being sued by one of the largest WordPress hosting providers. The conflict fits into a trend of billion-dollar companies struggling to effectively monetize open source, and are changing tactics to limit their competition and increase their revenue. This article was originally published a week ago, on 3 October 2024, in The Pragmatic Engineer.

article thumbnail

What is the WordPress drama about?

Confessions of a Data Guy

I figured a few of us might need the WordPress drama explained like we are 5. So, here you go. WordPress is the GOAT of internet website builders WordPress was founded by Matt Mullenweg With much of the internet running on WordPress … hosting WordPress is of course … lucrative and a big business. The […] The post What is the WordPress drama about?

Data 113
article thumbnail

Prepare Now: 2025's Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce

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.

article thumbnail

Introducing a New Visual Identity Reflecting Robinhood’s Growth and Vision for the Future

Robinhood

When Robinhood was founded, we set out to build a platform that gives everyone access to the financial markets. Over the last decade, we’ve disrupted and changed the industry for the better, becoming the first U.S. retail broker to offer commission-free trading, and saving investors billions in the process. In recent years, we’ve expanded our offering, ushering in a number of new cutting-edge products and services that help everyone – regardless of income – trade, invest, and earn.

Banking 123
article thumbnail

How to Create YouTube Video Study Guides with NotebookLM

KDnuggets

NotebookLM makes it easy to create study guides from YouTube videos by using AI to summarize and organize key points. Just upload the video link, and the tool helps you turn the content into a structured guide.

IT 123

More Trending

article thumbnail

How to make the PEFECT Pull Request (PR)

Confessions of a Data Guy

Is there anything worse than the PR process (Pull Request) at most companies? Probably not. It’s the dreaded 600-pound gorilla in the room that no one wants to talk about. Everyone hates it, everyone has to do it. But, it doesn’t have to be like that. There are a few tried and true ways to […] The post How to make the PEFECT Pull Request (PR) appeared first on Confessions of a Data Guy.

Process 100
article thumbnail

Announcing the General Availability of Databricks Assistant Autocomplete

databricks

Today, we are excited to announce the general availability of Databricks Assistant Autocomplete on all cloud platforms. Assistant Autocomplete provides personalized AI-powered code.

Cloud 95
article thumbnail

10 GitHub Repositories for Advanced Machine Learning Projects

KDnuggets

Where can you find projects dealing with advanced ML topics? GitHub is a perfect source with its many repositories. I’ve selected ten to talk about in this article.

article thumbnail

OCP Summit 2024: The open future of networking hardware for AI

Engineering at Meta

At Open Compute Project Summit (OCP) 2024, we’re sharing details about our next-generation network fabric for our AI training clusters. We’ve expanded our network hardware portfolio and are contributing two new disaggregated network fabrics and a new NIC to OCP. We look forward to continued collaboration with OCP to open designs for racks, servers, storage boxes, and motherboards to benefit companies of all sizes across the industry.

article thumbnail

Changing the Game with MES: Cut Costs, Drive Efficiency, & Achieve Sustainability Goals!

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

In an era where efficiency is king, are you leveraging the right tools to transform your manufacturing processes? A Manufacturing Execution System (MES) is critical for enhancing operational efficiency, reducing waste, and optimizing energy usage—key factors for improving your bottom line and lowering your carbon footprint. Join Nikhil Joshi, a manufacturing technology expert with 18+ years of hands-on experience, in this new webinar as he uncovers the secrets of MES and how to best utilize thes

article thumbnail

Cloudera Lakehouse Optimizer Makes it Easier Than Ever to Deliver High-Performance Iceberg Tables

Cloudera

The open data lakehouse is quickly becoming the standard architecture for unified multifunction analytics on large volumes of data. It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse. Open table formats are a key component of this architecture, as they provide many of the capabilities of traditional data warehousing directly on data lake storage, and Apache Iceberg is quickly becoming

IT 79
article thumbnail

How AI is Shaping Customer Communications: Insights from Engage CTO, Allan Christian

Precisely

At Trust ’24, we had the opportunity to sit down with Allan Christian, CTO of Precisely Engage, to discuss how AI is transforming customer communications and what the future holds for this technology. In this Q&A session, Allan shares insights into the AI-driven technologies Engage is offering clients today, the feedback they’re receiving from customers about AI-driven innovations, and the emerging technologies that will further enhance their products in the future.

article thumbnail

Attribute serverless costs to departments and users with budget policies

databricks

We are excited to announce the Public Preview of Databricks serverless budget policies. Administrators can use budget policies to ensure that the correct.

60
article thumbnail

Claude AI: Unboxing Anthropic’s LLM-based AI Assistant, Artifacts & Use Cases

KDnuggets

Dive into this emerging and powerful LLM-based AI tool for enhancing your business, creative, or daily processes through well-managed conversations.

Process 123
article thumbnail

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.

article thumbnail

How Solid Data Strategies are Fueling Generative AI Innovation

Snowflake

If innovation is the ultimate goal in business and technology today, then consider generative AI (gen AI) the vehicle taking us there — and a strong data strategy, the fuel. Despite all its promise of productivity gains and new discoveries, gen AI alone can't do it all. The technology needs a "very ready" data foundation to feed on, something the vast majority of businesses today (78%) do not possess, according to a new report by MIT Technology Review Insights , in partnership with Snowf

article thumbnail

Confluent Cloud Is Now 100% KRaft and You Should Be Too

Confluent

Migrate from ZooKeeper to KRaft using Confluent for Kubernetes quickly and with ease. Automate the process and migrate in minutes.

Cloud 69
article thumbnail

Inspiring Success Stories from our 2024 Data Integrity Award Winners

Precisely

This year, our annual Data Integrity Summit, Trust ’24, was better than ever – and a big part of what made the event so exciting was our first-ever Data Integrity Awards ! We were thrilled to shine the spotlight on customers driving AI innovation, business results, and societal impact. As you plan for 2025, get inspired with their success stories today.

article thumbnail

Introducing the New SQL Editor

databricks

Over the last few years, we've seen tremendous growth and adoption of Databricks SQL , our intelligent data warehouse purpose-built on the Data.

SQL 72
article thumbnail

The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

article thumbnail

A Data Scientist GenAI Survival Guide

KDnuggets

This guide emphasizes the growing significance of GenAI but also highlights the crucial role that data scientists play in harnessing this technology to solve real-world problems.

Data 87
article thumbnail

Container Runtime: GPU Training & Inference with Snowflake Notebooks

Snowflake

Predictive machine learning continues to be a cornerstone of data-driven decision-making. However, as organizations accumulate more data in a wide variety of forms, and as modeling techniques continue to advance, the tasks of a data scientist and ML engineer are becoming increasingly complex. Oftentimes, more effort is spent on managing infrastructure, jumping through package management hurdles, and dealing with scalability issues than on actual model development.

Food 52
article thumbnail

Measuring Data Quality at the Use Case Level

Monte Carlo

Measuring the progress of a data quality initiative is not as straightforward as it seems. One of the biggest reasons for this is because data quality is use case specific. For example, the accuracy required for a machine learning application may only need to be directional whereas a finance report may need to be accurate to the penny. To this end, we are happy to introduce our latest Data Quality Dashboard.

Finance 52
article thumbnail

2025 Planning Insights: The Rise of AI is Hampered by a Lack of Data Readiness

Precisely

Key Takeaways: Only 12% of organizations report their data is of sufficient quality and accessibility for AI. Data analysis (57%) is the top-cited reason organizations are considering the use of AI. The top data challenge inhibiting the progress of AI initiatives is data governance (62%). The 2025 Outlook: Data Integrity Trends and Insights report is here!

article thumbnail

Driving Responsible Innovation: How to Navigate AI Governance & Data Privacy

Speaker: Aindra Misra, Senior Manager, Product Management (Data, ML, and Cloud Infrastructure) at BILL

Join us for an insightful webinar that explores the critical intersection of data privacy and AI governance. In today’s rapidly evolving tech landscape, building robust governance frameworks is essential to fostering innovation while staying compliant with regulations. Our expert speaker, Aindra Misra, will guide you through best practices for ensuring data protection while leveraging AI capabilities.

article thumbnail

Building Confidence in Your Genie Space with Benchmarks and Ask for Review

databricks

AI/BI Genie is a conversational experience for business teams to self-serve insights from their data through natural language. Genie leverages generative AI tailored.

BI 55
article thumbnail

How to Create Custom Educational Podcasts with NotebookLM

KDnuggets

Creating custom educational podcasts with NotebookLM is straightforward. Simply upload your content, customize the audio output to highlight key topics, and export your final podcast for sharing with your audience.

article thumbnail

Advertising Week 2024: Top 3 Takeaways

Snowflake

If there’s one thing you can count on with Advertising Week New York 2024, it is that you will leave with your head buzzing with ideas, insights and the latest industry trends. It is the advertising event of the year. With more than 60% of attendees director-level or above from leading brands, agencies and adtech companies, it is a thought leadership event of truly epic proportions.

Cloud 60
article thumbnail

How to Retain Talent

DareData

An aggressive and dominant communication style, unrealistic goals, inefficient structures where no one takes ownership and rigid hierarchies where people fear failure. Does it sound familiar? Throughout my career, I've encountered the same environment numerous times. In each new job, I've tried to make improvements, yet inevitably, I would find myself without any major victories, feeling tired, out of place, and anxious.

article thumbnail

Building Your BI Strategy: How to Choose a Solution That Scales and Delivers

Speaker: Evelyn Chou

Choosing the right business intelligence (BI) platform can feel like navigating a maze of features, promises, and technical jargon. With so many options available, how can you ensure you’re making the right decision for your organization’s unique needs? 🤔 This webinar brings together expert insights to break down the complexities of BI solution vetting.

article thumbnail

Preparing the Consumer Fetch: Kafka Producer and Consumer Internals, Part 3

Confluent

Third installment of the Producer/Consumer Internals series that covers preparing the consumer fetch: how consumers interact with brokers, coordinate partitions, and send requests.

Kafka 52
article thumbnail

Announcing Azure Cobalt 100 VMs: Powering the Future of Azure Databricks

databricks

At Databricks, we are constantly innovating and optimizing our platform to ensure that our customers can maximize the value of their data and.

Data 60
article thumbnail

Top 5 Tips & Tricks for LLM Fine Tuning and Inference

KDnuggets

For developers working with LLMs, Intel’s article serves as a practical guide to navigating the complexities of fine-tuning and inference, offering valuable insights and techniques for optimizing both the development and deployment phases.

100
100
article thumbnail

Data Traceability 101: Benefits, Challenges, and Implementation

Monte Carlo

Ever look at a dashboard and wonder “ How exactly did these numbers get here?” Yeah, you’re not the only one to think that. How quick and easy it is to come to an answer depends on how traceable the data is. Data traceability is the process of tracking data’s flow, transformations, and uses from its creation to its final destination. I’ll walk you through why data traceability is so important and how you can do it.

article thumbnail

What Is Entity Resolution? How It Works & Why It Matters

Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Learn what entity resolution is, why it matters, how it works and its benefits. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.