Start Data Engineering
JULY 16, 2024
1. Introduction 2. Data Quality(DQ) checks are run as part of your pipeline 2.1. Ensure your consumers don’t get incorrect data with output DQ checks 2.2. Catch upstream issues quickly with input DQ checks 2.3. Waiting a long time to run output DQ checks? Save time & money with mid-pipeline DQ checks. 2.4. Track incoming and outgoing row counts with Audit logs 3.
The Pragmatic Engineer
JULY 15, 2024
The past 18 months have seen major change reshape the tech industry. What does it all mean for businesses and dev teams – and what will pragmatic software engineering approaches look like in the future? I tackled these burning questions in my conference talk, “What’s Old is New Again,” which was the keynote of the Craft Conference in May 2024.
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Waitingforcode
JULY 16, 2024
With this blog I'm starting a follow-up series for my Data+AI Summit 2024 talk. I missed this family of blog posts a lot as the previous DAIS with me as speaker was 4 years ago! As previously, this time too I'll be writing several blog posts that should help you remember the talk and also cover some of the topics left aside because of the time constraints.
Christophe Blefari
JULY 13, 2024
EuroSeagull ( credits ) Dear members, it's been a few weeks since I did not catch you on a proper Data News with a collection of links. Here we are. This week, I attended EuroPython in Prague. While I spent most of my time at the dltHub booth in the sponsors hall, I didn't attend many talks. However, I did give a few presentations on my SQL orchestration library, yato , which pairs well with dlt.
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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?
KDnuggets
JULY 15, 2024
Is it possible to learn data engineering for free? I claim it is and present the evidence for that in the form of 10 free data engineering courses.
Engineering at Meta
JULY 16, 2024
The key to developer velocity across AI lies in minimizing time to first batch (TTFB) for machine learning (ML) engineers. AI Lab is a pre-production framework used internally at Meta. It allows us to continuously A/B test common ML workflows – enabling proactive improvements and automatically preventing regressions on TTFB. AI Lab prevents TTFB regressions whilst enabling experimentation to develop improvements.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Data Engineering Weekly
JULY 14, 2024
Canva: How Canva collects 25 billion events per day Canva writes about its event collection infrastructure capabilities, handling 25 billion events per day (800 billion events per month) with 99.999% uptime. At our team’s inception, a key decision we made, one we still believe to be a big part of our success, was that every collected event must have a machine-readable, well-documented schema.
KDnuggets
JULY 17, 2024
Artificial intelligence (AI) has revolutionized numerous sectors, including digital marketing. This field leverages online platforms to promote products and services.
ArcGIS
JULY 15, 2024
In this blog article, we'll explore BlueBikes data, a bike share service in bustling Boston, and uncover hidden insights through the power of visualization
databricks
JULY 18, 2024
Discover how Databricks Lakehouse Monitoring empowers you to ensure reliable, accurate forecasts by proactively detecting data drift, model degradation, and more.
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.
Snowflake
JULY 15, 2024
All eyes are on sports this summer, with blockbuster events happening in everything from soccer and cycling to cricket and car racing. Snowflake is excited to join the action with a virtual “relay race,” where Snowflake sports and data experts, customers and partners will demonstrate how the sports industry can win big with data and AI. Industry leaders already know that sports runs on data analytics: from individual athlete performance and team statistics, to marketing and fan engagement, to ti
KDnuggets
JULY 19, 2024
Thanks to tools like BigQuery ML, you can harness the power of ML without needing a computer science degree. Let's explore how to get started.
ArcGIS
JULY 15, 2024
Planning a city block, a neighborhood, or maybe a whole new city is a multifaceted task with no universal recipe to use. How can Generative AI help Urban Planners?
databricks
JULY 17, 2024
Unlocking True Water Risk Assessment Across Insurance, Finance, Public Safety, and Beyond Check out the solution accelerator to download the notebooks referred to.
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.
Engineering at Meta
JULY 18, 2024
What happens when a team of mechanical engineers get tired of looking at flat images of 3D models over Zoom? Meet the team behind Caddy, a new CAD app for mixed reality. They join Pascal Hartig ( @passy ) on the Meta Tech Podcast to talk about teaching themselves to code, disrupting the CAD software space, and how they integrated Caddy with Llama 3, and so much more!
KDnuggets
JULY 15, 2024
Strings are common built-in data types in Python. But sometimes, you may need to work with bytes instead. Let’s learn how to convert bytes to string in Python.
Uber Engineering
JULY 15, 2024
Uber elevates tech with the GenAI Gateway, integrating Large Language Models (LLMs) for 60+ use cases, from automation to customer support. This unified platform offers easy access to models from OpenAI, Vertex AI, and Uber’s own, ensuring efficiency and security.
Scott Logic
JULY 16, 2024
Generative AI has a Sustainability problem Generative AI , including large language models (LLMs), has taken the world by storm. Inspired by ChatGPT, many companies are racing to implement GenAI in their projects, lured by its hyped potential to revolutionise industries. However, based on my experience of applying GenAI to enterprise implementations, I am seeing first-hand the sustainability challenges threatening to implode the first generation of this technology.
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.
Zalando Engineering
JULY 18, 2024
Why automated end-to-end tests? What are automated end-to-end tests? Do you need them at all? In this blog post we dive into the ugly behind automated end-to-end testing, what we struggled with at Zalando, what worked well for us and our latest solution with end-to-end test probes. Automated end-to-end tests continue to polarise the industry, with some leaders advocating for them and others rightfully questioning their return on investments and recommending to invest in monitoring and alerting s
KDnuggets
JULY 17, 2024
Explore Python's mock library for seamless testing—replace real objects with mocks, perfect for isolating and verifying your code's behavior.
databricks
JULY 15, 2024
We are excited to announce the General Availability of serverless compute for notebooks, jobs and Delta Live Tables (DLT) on AWS and Azure.
Confluent
JULY 16, 2024
City of Hope’s AI models for predicting and preventing sepsis in bone-marrow transplant patients rely on real-time data, enabled by Kafka on Confluent Cloud.
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.
Pinterest Engineering
JULY 15, 2024
David Chang; Staff Software Engineer | Develocity, formerly known as Gradle Enterprise, is a powerful tool that speeds up local and CI build time, helps troubleshoot your builds, and analyzes your data. At Pinterest, we have a dedicated team, Mobile Builds, and we ensure that developers can build fast and often. This enables developers to be more productive by getting faster feedback on their code.
KDnuggets
JULY 18, 2024
Tips and tricks on improving machine learning model performance on diverse and unseen datasets.
ArcGIS
JULY 18, 2024
Unlock the potential of ArcGIS Maritime for efficient maritime operations. Optimize navigation, ensure accuracy, and make data-driven decisions.
Edureka
JULY 18, 2024
Ready to supercharge your project management career? This article will highlight all the essential PMP certification requirements. Expect clear and actionable insights on what it takes to become a certified Project Management Professional. Whether you’re a seasoned manager or an aspiring leader, discover how PMP can open doors to new opportunities.
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.
Precisely
JULY 18, 2024
Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Data management recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata. While data fabric is not a standalone solution, critical capabilities that you can address today to prepare for a data fabric include automated data integration, metadata management, centralized data governan
KDnuggets
JULY 16, 2024
Empowering Developers and Transforming Programming Practices
Scott Logic
JULY 18, 2024
Generative AI has a Sustainability problem Generative AI , including large language models (LLMs), has taken the world by storm. Inspired by ChatGPT many companies are racing to implement GenAI in their projects, lured by its hyped potential to revolutionise industries. However from experience of applying GenAI to enterprise implementations, I am seeing firsthand the sustainability challenges threatening to implode the first generation of this technology.
Hevo
JULY 18, 2024
The term “Data Lakehouse” is quite common nowadays. The new concept promises to address the failures of data warehouses and data lakes and help support the workloads of both business intelligence and machine learning. But what exactly is a data lakehouse, and how is it different from a data warehouse or a data lake?
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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