Monte Carlo
JUNE 6, 2023
Generative AI is taking the world by storm – here’s what it means for data engineering and why data observability is critical for this groundbreaking technology to succeed. Maybe you’ve noticed the world has dumped the internet, mobile, social, cloud and even crypto in favor of an obsession with generative AI. But is there more to generative AI than a fancy demo on Twitter?
Analytics Vidhya
JUNE 5, 2023
Introduction Welcome back to the success story interview series with a successful data scientist and our DataHour Speaker, Vidhya Chandrasekaran! In today’s data-driven world, data scientists play a crucial role in helping businesses make informed decisions by analyzing and interpreting data. With their expertise in statistics, machine learning, AI, and programming, they are able to […] The post Data Scientist’s Insights: Strategies for Innovation and Leadership appeared first
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The Pragmatic Engineer
JUNE 8, 2023
👋 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 high-growth startups through the lens of engineering managers and senior engineers. In this article, we cover one out of four topics from today’s subscriber-only The Scoop issue. If you’re not a full subscriber yet, you missed this week’s deep-dive on Shopify’s leveling split.
Christophe Blefari
JUNE 9, 2023
Rethinking the newsletter ( credits ) Here's a new edition of the Data News newsletter. Since my 2-year anniversary post, I've been struggling to find the right writing rhythm. I've been sick and I've been stuck on a client project. Writing the newsletter was not an easy exercise. Even though I keep telling myself "it's not a question of motivation, it's a question of discipline" like a LinkedIn guy.
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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?
Confessions of a Data Guy
JUNE 8, 2023
One of my greatest pleasures in life is watching the r/dataengineering Reddit board, I find it very entertaining and enlightening on many levels. It gives a fairly unique view into the wide range of Data Engineering companies, jobs, projects people are working on, tech stacks, and problems that are being faced. One thing I’ve come […] The post 4 Ways To Setup Your Data Engineering Game. appeared first on Confessions of a Data Guy.
Data Engineering Podcast
JUNE 4, 2023
Summary A significant portion of the time spent by data engineering teams is on managing the workflows and operations of their pipelines. DataOps has arisen as a parallel set of practices to that of DevOps teams as a means of reducing wasted effort. Agile Data Engine is a platform designed to handle the infrastructure side of the DataOps equation, as well as providing the insights that you need to manage the human side of the workflow.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Christophe Blefari
JUNE 3, 2023
Sun is coming in Berlin ( credits ) Hey, I've been sick longer than I expected, but I'm finally well. I hope this email finds you all well, as well. I've had to catch up on almost 3 weeks of content. When I step back, the amount of articles shared each week is insane, there are countless articles about things that have already been written.
Waitingforcode
JUNE 9, 2023
It's time for another part of "What's new on the cloud for data engineers" Let's see what happened in the last 3 months.
Confluent
JUNE 8, 2023
ChatGPT and data streaming can work together for any company. Learn a basic framework for using GPT-4 and streaming to build a real-world production application.
Netflix Tech
JUNE 5, 2023
by Akshay Garg , Roger Quero Introduction Maximizing immersion for our members is an important goal for the Netflix product and engineering teams to keep our members entertained and fully engaged in our content. Leveraging a good mix of mature and cutting-edge client device technologies to deliver a smooth playback experience with glitch-free in-app transitions is an important step towards achieving this goal.
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.
Lyft Engineering
JUNE 6, 2023
Discover how Lyft identified and fixed performance issues in our streaming pipelines. Background Every streaming pipeline is unique. When reviewing a pipeline’s performance, we ask the following questions: “Is there a bottleneck?”, “Is the pipeline performing optimally?”, “Will it continue to scale with increased load?” Regularly asking these questions are vital to avoid scrambling to fix performance issues at the last minute.
databricks
JUNE 9, 2023
Today, we are excited to announce the preview of a Hive Metastore (HMS) interface for Databricks Unity Catalog, which allows any software compatible.
Tweag
JUNE 7, 2023
The availability of deep learning frameworks like PyTorch or JAX has revolutionized array processing, regardless of whether one is working on machine learning tasks or other numerical algorithms. The Haskell library ecosystem has been catching up as well, and there are now multiple good array libraries. However, writing high-performance array processing code in Haskell is still a non-trivial endeavor.
Monte Carlo
JUNE 6, 2023
Sure, data quality is everyones’ problem. But who is responsible for data quality? Given the variations in approach and mixed success, we have a lot of natural experiments from which to learn. Some organizations will attempt to diffuse the responsibility widely across data stewards, data owners, data engineering and governance committees, each owning a fraction of the data value chain.
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.
KDnuggets
JUNE 5, 2023
Unlock the full potential of Jupyter Notebook with expert tips and techniques, including time-saving shortcuts, powerful magic functions, and advanced features, to boost your productivity.
databricks
JUNE 6, 2023
Announcing a new portfolio of Generative AI learning offerings on Databricks Academy Enroll in the Large Language Models: Application through Production on Databricks.
Cloudyard
JUNE 6, 2023
Read Time: 2 Minute, 39 Second During this post we will discuss a simple scenario using AWS Glue and Snowpark. Since long time I was planning to start and learn Snowpark and has come up with this simple and basic use-case to implement Glue and Snowpark in one pipeline. As per the requirement source system has fed a CSV file to our S3 bucket which needs to be ingested into Snowflake.
Towards Data Science
JUNE 6, 2023
Fitbit activity analysis with DuckDB Photo by Jake Hills on Unsplash Wearable fitness trackers have become an integral part of our lives, collecting and tracking data about our daily activities, sleep patterns, location, heart rate, and much more. I’ve been using a Fitbit device for 6 years to monitor my health. However, I have always found the data analysis capabilities lacking — especially when I wanted to track my progress against long term fitness goals.
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.
KDnuggets
JUNE 5, 2023
MLOps teams are pressured to advance their capabilities to scale AI. We teamed up with Ford Motors to explore how to scale MLOps within an organization and how to get started.
databricks
JUNE 7, 2023
LLMs present a massive opportunity for organizations of all scales to quickly build powerful applications and deliver business value. Where data scientists used.
ArcGIS
JUNE 5, 2023
Eutrophication is driven by enrichment of waters by nutrients resulting in adverse changes in the balance of organisms and water quality.
Cloudera
JUNE 7, 2023
By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution. To provide guidance to federal agencies, and in many ways lead the way for the private sector, the Cybersecurity and Infrastructure Security Agency (CISA) issued the initial Zero Trust Maturity Model (ZTMM) i
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.
KDnuggets
JUNE 8, 2023
How to install GPT4All on your Laptop and ask AI about your own domain knowledge (your documents)… and it runs on CPU only!
databricks
JUNE 4, 2023
In today's data-driven landscape, organizations face the challenge of aggregating data to derive meaningful insights that enrich audience profiles. Traditional data integration methods.
ArcGIS
JUNE 9, 2023
Read about five tips you can apply to avoid some of the most common pitfalls in creating a composite index.
Cloudera
JUNE 5, 2023
On May 3, 2023, Cloudera kicked off a contest called “Best in Flow” for NiFi developers to compete to build the best data pipelines. This blog is to congratulate our winner and review the top submissions. On the verge of the release of NiFi 2.0, Cloudera VP of Engineering and NiFi founder Joe Witt, joined by principal committers Mark Payne and Matt Gillman, addressed the global community via a virtual event dubbed “ Meet the Committers.
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.
Towards Data Science
JUNE 8, 2023
Specialists or generalists? Engineer or analyst? We examine which team structures are the best suited for efficiently improving data quality. Image courtesy of Shane Murray. Sure, data quality is everyones’ problem. But who owns the solution? Given the variations in approach and mixed success, we have a lot of natural experiments from which to learn.
databricks
JUNE 5, 2023
We are pleased to share the strategic partnership announcement between Dell and Databricks from the Dell Technologies World 2023 opening keynote last week.
Snowflake
JUNE 8, 2023
In today’s business environment, it’s survival of the fittest. Expectations from customers and business partners have changed, making modernization even more critical. Yet change is notoriously difficult. As companies strive to be data-driven, they recognize that the transformation requires a new way of operating. It’s not enough to paint racing stripes on a VW Beetle to make it faster and more efficient.
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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