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.
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.
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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.
Christophe Blefari
OCTOBER 6, 2024
Back in Paris ( credits ) Hey, hey, hey. I'm so sorry for this small break about the news. I was in middle of starting my new company, nao , and moving back from Berlin to Paris. Still I hope this edition finds you well, it will be a mix of personal news, OpenAI saga and usual data engineering stuff that I enjoy reading. First things first, yes, I'm co-founding a company.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Yelp Engineering
OCTOBER 6, 2024
The Yelp Reservations service (yelp_res) is the service that powers reservations on Yelp. It was acquired along with Seatme in 2013, and is a Django service and webapp. It powers the reservation backend and logic for Yelp Guest Manager, our iPad app for restaurants, and handles diner and partner flows that create reservations. Along with that, it serves a web UI and backend API for our Yelp Reservations app, which has been superseded by Yelp Guest Manager but is still used by many of our restaur
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.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Data Engineering Weekly
OCTOBER 11, 2024
The data world is abuzz with speculation about the future of data engineering and the successor to the celebrated modern data stack. While the modern data stack has undeniably revolutionized data management with its cloud-native approach, its complexities and limitations are becoming increasingly apparent. As we grapple with these, another seismic shift is upon us—the rise of Large Language Models (LLMs).
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.
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.
Yelp Engineering
OCTOBER 7, 2024
In 2019, Yelp’s Core Android team led an effort to boost navigation performance in Yelp’s Consumer app. We switched from building screens with multiple separate activities to using fragments inside a single activity. In this blog post, we’ll cover our solution, how we approached the migration and share learnings from along the way as well as performance wins.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
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.
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.
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.
databricks
OCTOBER 7, 2024
We are announcing the General Availability of Provider Usage Analytics for Databricks Marketplace providers. This feature lets you analyze lead generation and product.
Netflix Tech
OCTOBER 8, 2024
Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital. In previous blog posts, we introduced the Key-Value Data Abstraction Layer and the Data Gateway Platform , both of which are integral to Netflix’s data architectu
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
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
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.
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.
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.
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.
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.
KDnuggets
OCTOBER 8, 2024
Are you a data science beginner looking to build your portfolio? Start working on these projects today.
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.
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: 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.
ThoughtSpot
OCTOBER 8, 2024
After being recognized by Gartner as the leading generative analytics experience for augmented analytics , ThoughtSpot’s SpotIQ just got an upgrade. As an integral part of ThoughtSpot’s core platform for nearly seven years , SpotIQ has unlocked the value of billions of rows of data for hundreds of customers. Even more inspiring are the customer testimonials highlighting how SpotIQ empowers business users to perform complex analytics and analyze key metrics—even on the go.
KDnuggets
OCTOBER 7, 2024
Read this overview of prompting techniques, challenges, and best practices to help you master this essential AI skill.
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.
Data Engineering Weekly
OCTOBER 6, 2024
PyTorch: PyTorch Conference 2024 Recap - On Fire 🔥 PyTorch plays a significant role in the latest development of AI in the industry. The article nicely summarizes the key takeaways from the conference. All the talks are now available on YouTube. If you are new to PyTorch and want to learn, the tutorial from freecodecamp is the best. [link] Medium: Learnings from optimising 22 of our most expensive Snowflake pipelines A blog about real-world learning is always a delight to read.
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.
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.
KDnuggets
OCTOBER 9, 2024
Acquire a transversal understanding of high-relevance AI jargon in the time it takes to drink a cup of coffee.
databricks
OCTOBER 9, 2024
In industries like finance and retail, vast data is leveraged to generate billions in profits. Yet, in healthcare, the struggle to access critical.
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.
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.
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