The Pragmatic Engineer
OCTOBER 10, 2024
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.
Confessions of a Data Guy
OCTOBER 12, 2024
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.
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Analytics Vidhya
OCTOBER 7, 2024
Introduction Today, data systems evolve quickly, demanding efficient monitoring and response. Real-time change detection is essential to keeping systems stable, preventing failures, and ensuring business continuity. Microsoft’s open-source tool, Drasi, addresses this need by effortlessly detecting, monitoring, and responding to data changes across platforms, including relational and graph databases.
Robinhood
OCTOBER 10, 2024
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.
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.
databricks
OCTOBER 8, 2024
Summary Databricks Apps, a new way to build and deploy internal data and AI applications, is now available in Public Preview on AWS.
KDnuggets
OCTOBER 10, 2024
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.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Confessions of a Data Guy
OCTOBER 7, 2024
This is an interesting one indeed, it’s one that teases and puzzles the brain to no end. Has the Data Warehouse finally died, has that unruly upstart the Lake House finally taken its place atop the seething mass of data we call home? Can we say that after all these decades the Data Warehouse Toolkit […] The post The Death of the Data Warehouse, replaced by the Lake House.
ArcGIS
OCTOBER 8, 2024
The response digital twin to assist disaster management of North Rhine-Westphalia illustrates how to create and maintain 3D mesh data.
databricks
OCTOBER 10, 2024
Today, we are excited to announce the general availability of Databricks Assistant Autocomplete on all cloud platforms. Assistant Autocomplete provides personalized AI-powered code.
KDnuggets
OCTOBER 11, 2024
Dive into this emerging and powerful LLM-based AI tool for enhancing your business, creative, or daily processes through well-managed conversations.
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.
Cloudera
OCTOBER 10, 2024
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
Snowflake
OCTOBER 7, 2024
When scaling data science and ML workloads, organizations frequently encounter challenges in building large, robust production ML pipelines. Common issues include redundant efforts between development and production teams, as well as inconsistencies between the features used in training and those in the serving stack, which can lead to decreased performance.
Striim
OCTOBER 11, 2024
A well-executed data pipeline can make or break your company’s ability to leverage real-time insights and stay competitive. Thriving in today’s world requires building modern data pipelines that make moving data and extracting valuable insights quick and simple. Today, we’ll answer the question, “What is a data pipeline?” Then, we’ll explore a data pipeline example and dive deeper into the key differences between a traditional data pipeline vs ETL.
databricks
OCTOBER 8, 2024
We consistently hear from our customers that one of the headwinds to transitioning Generative AI applications from pilot to production is the accuracy.
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.
KDnuggets
OCTOBER 8, 2024
With Hugging Face become prominent than ever, learning how to use the Transformers library with popular deep-learning frameworks would improve your career.
Cloudera
OCTOBER 8, 2024
We are thrilled to announce the general availability of the Cloudera AI Inference service, powered by NVIDIA NIM microservices , part of the NVIDIA AI Enterprise platform, to accelerate generative AI deployments for enterprises. This service supports a range of optimized AI models, enabling seamless and scalable AI inference. Background The generative AI landscape is evolving at a rapid pace, marked by explosive growth and widespread adoption across industries.
Monte Carlo
OCTOBER 11, 2024
There are a few adages that stand the test of time. “Better late than never.” “Actions speak louder than words.” “Two wrongs don’t make a right.” And, perhaps the most important: “You can’t improve data quality without incident management.” Which leaves a lot of data teams decidedly not improving their data quality—despite their best efforts to the contrary.
DataKitchen
OCTOBER 10, 2024
Read Our New White Paper: Data Quality The DataOps Way Data quality isn’t just a technical hurdle—it’s a strategic necessity in the data-driven world. Traditional methods fall short, but the DataOps approach to data quality offers a transformative path forward. It empowers individuals to act swiftly, enables continuous improvement, and fosters collaboration across organizational silos.
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.
databricks
OCTOBER 8, 2024
Retrieval Augmented Generation (RAG) is the top use case for Databricks customers who want to customize AI workflows on their own data. The.
KDnuggets
OCTOBER 8, 2024
Tired of fixing the same deployment issues? Learn how Docker can keep your ML models running smoothly, every time.
Confluent
OCTOBER 10, 2024
Catch all the highlights from Current 2024! Dive into key takeaways, including why a data streaming platform is key to unlocking data value, driving AI innovation, and more.
Towards Data Science
OCTOBER 10, 2024
Optimizing data transfer for enterprise data lakes Skewed data distribution - image by Vackground.com on Unsplash 1. Introduction Azure Data Factory (ADF) is a popular tool for moving data at scale, particularly in Enterprise Data Lakes. It is commonly used to ingest and transform data, often starting by copying data from on-premises to Azure Storage.
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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.
Ascend.io
OCTOBER 8, 2024
Data engineering is the backbone of any data-driven organization, responsible for building and maintaining the infrastructure that supports data collection, storage, and analysis. Traditionally, data engineers have focused on the technical aspects of data management, ensuring data pipelines run smoothly and efficiently. However, the landscape is changing rapidly, and data engineers are finding themselves at the forefront of a significant transformation.
databricks
OCTOBER 9, 2024
With the pace of modern business and the competitive need for more and more data, organizations now correctly ask whether their data management.
KDnuggets
OCTOBER 7, 2024
Read this overview of prompting techniques, challenges, and best practices to help you master this essential AI skill.
Confluent
OCTOBER 11, 2024
Learn how to leverage event design to make eventual bad data in your event streams easier to repair, and also what to do when you have a contaminated stream.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
DataKitchen
OCTOBER 8, 2024
Christopher Bergh is the CEO and Head Chef at DataKitchen. Chris has more than 30 years of research, software engineering, data analytics, and executive management experience. At various points in his career, he has been a COO, CTO, VP, and Director of engineering. Enjoy the chat.
Monte Carlo
OCTOBER 8, 2024
In the world of data, there a lot of handoffs between various data stakeholders. But what’s the real difference between data stewards vs data analysts? The data steward makes sure everything is stored correctly, access is controlled, and the database doesn’t become a dumpster fire. The data analyst, meanwhile, is usually the one navigating that fire, hoping to find some sort of insight before the next quarterly meeting.
Cloudyard
OCTOBER 8, 2024
Read Time: 3 Minute, 12 Second Recently my colleague Aman and I were discussing a challenge that we were facing in our project: How can we track DDL (Data Definition Language) changes made to tables in Snowflake? We needed a way to monitor schema modifications, not just to capture what changed but also when those changes occurred. Our goal was to create a solution that would allow us to log changes such as adding or dropping columns, along with the exact dates these changes were made.
KDnuggets
OCTOBER 9, 2024
Acquire a transversal understanding of high-relevance AI jargon in the time it takes to drink a cup of coffee.
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