This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. Before the rise of this technology, StackOverflow was the superior option to Googling in the hope of finding a blog post which answered a question. Middle manager burnout incoming?
Managing and utilizing data effectively is crucial for organizational success in today's fast-paced technological landscape. The vast amounts of data generated daily require advanced tools for efficient management and analysis. Enter agentic AI, a type of artificial intelligence set to transform enterprise data management.
. "Serverless computing" has enabled customers to use cloud capabilities without provisioning, deploying and managing either hardware or software resources. Snowflake has embraced serverless since our founding in 2012, with customers providing their code to load, manage and query data and us taking care of the rest.
While the technology continues to be a male-dominated industry, more women are pursuing careers in the space, driving meaningful change and innovation. To support this, the Precisely Women in Technology (PWIT) network, was created as a dedicated place for women to connect, share experiences, and learn from one another.
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. Stakeholder Engagement 👥 Learn strategies to secure buy-in from sales, marketing, and executives.
The Precisely Women in Technology (PWIT) network was created to connect women in the organization to offer support, guidance, mentorship, and more opportunities. Continue reading to learn more about Sravani Malempati, Senior Support Engineer II, and her 16+ year career in technology. Why did you choose to pursue a career in technology?
Whatever role is best for youdata scientist, data engineer, or technology managerNorthwestern University's MS in Data Science program will help you to prepare for the jobs of today and the jobs of the future.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. What are some of the other tools/technologies that can benefit from some or all of the pieces of the FDAP stack?
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Disclaimer: Throughout this post, I discuss a variety of complex technologies but avoid trying to explain how these technologies work. The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. Then came Big Data and Hadoop!
The traditional ways of operations management are over modernization and holistic approaches are now essential. For IT operations (ITOps) teams, 2025 means reassessing technology stacks, processes, and people. Success in tackling modernization of IT operations management starts with assessing where your team is. Whats next?
Once it is running, the next challenge is figuring out how to address release management for all of the different component parts. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat.
All while keeping up with the latest changes in technology. In the past few years I have gotten to work with dozens of teams and see how various directors and managers deal… Read more The post 9 Habits Of Effective Data Managers – Running A Data Team appeared first on Seattle Data Guy.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use. . 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI prototypes into impactful products!
Investment in an Agent Management System (AMS) is crucial, as it offers a framework for scaling, monitoring, and refining AI agents. AI engineers, in particular, will find their skills in high demand as they navigate managing and optimizing agents to ensure reliability within enterprise systems.
This blog explores how new technologies such as Databricks Data Intelligence Platform can pave the way for more effective and efficient multi-omics data management.
As one of the most important sectors of the global economy, the food and beverage (F&B) industry works in highly volatile conditions and ensures its success by reducing waste and managing inventories. Managing production and consumption, meeting deadlines, cutting waste, and being environmentally friendly are always a challenge.
In every issue, I cover topics related to Big Tech and startups through the lens of engineering managers and senior engineers. After Zynga, he rejoined Amazon, and was the General Manager (GM) for Compute services at AWS, and later chief of staff, and advisor to AWS executives like Charlie Bell and Andy Jassy (Amazon’s current CEO.)
As digital transformation advances at a rapid pace, Digital Adoption Platforms (DAPs) have become essential tools for enhancing user experiences and redefining product management strategies. 📆 August 15, 2024 at 11:00 am PT, 2:00 pm ET, 7:00 pm GMT Use Product Management Today’s webinars to earn professional development hours!
Though AI is (still) the hottest technology topic, its not the overriding issue for enterprise security in 2025. AI is both a contributor to the problem more data to secure, more attack surface and a potential boon, providing tools to manage amounts of data that humans cant grasp on their own.
Data lineage is an instrumental part of Metas Privacy Aware Infrastructure (PAI) initiative, a suite of technologies that efficiently protect user privacy. Thus we have developed a powerful flow discovery tool as part of our PAI tool suite, Policy Zone Manager (PZM), based on data lineage.
Operational use cases were rising to the surface, technology was reducing barriers to entry, and general artificial intelligence was obviously right around the corner. So, if it’s not generating revenue, AI needs to be cutting costs—and in that regard, this budding technology has certainly found some footing. Well, sort of.
As companies collect more data, from disparate sources and in disparate formats, building and managing transformations has become exponentially more complex and time-consuming. Our goal at Snowflake is to provide developers, data engineers, and other users with optimal choice in the tools they use to prepare and manage data.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
Delve into the distinctive roles and responsibilities of a Platform PM compared to other Product Managers. Explore the array of tools and technologies driving data transformation across different stages and states, from source to destination. Anticipated future use cases as we project into 2024 and beyond.
A distributed file system runs on commodity hardware and manages massive data collections. It is a fully managed cloud-based environment for analyzing and processing enormous volumes of data. Introduction Microsoft Azure HDInsight(or Microsoft HDFS) is a cloud-based Hadoop Distributed File System version.
Despite the best efforts of many ML teams, most models still never make it to production due to disparate tooling, which often leads to fragmented data and ML pipelines and complex infrastructure management. Customers include CHG Healthcare, Keysight Technologies and Avios. With over $5.5
The npm or pnpm package managers do this additional check and so are slower, though arguably more reliable. For most commercial open source companies, the approach tends to be to offer a managed, dedicated service of the open source software, or to provide additional features on top of it.
In the enterprise technology space, both the greatest certainties and the most significant potential surprises come from one area: the rapidly advancing field of artificial intelligence. But businesses will continue to hesitate to put in front of customers a technology that may display bias or provide inaccurate responses.
As we reflect on the data management outcomes our customers achieved in 2024 and the goals they have for their 2025 business initiatives, one thing is clear: modern data governance remains at the heart of successful data strategies. Align people, processes, and technology Successful data governance requires a holistic approach.
Without the backing of management, a large-scale rewrite is likely to fail. In 2004, I was hired by ISO-NE, a non-profit that manages the electric grid in New England. They hired a manager who had done this kind of project before, and set a target date of nearly two years. Big rewrites need heavyweight support.
Data and technology (yes, AI) can now deeply impact the relevance of advertising creative, but that data needs to be secured and democratized across all levels and all departments within the agency landscape. How do their agencies manage new privacy regulations both globally and in the U.S.?
In this episode DeVaris Brown discusses the types of applications that are possible when teams don't have to manage the complex infrastructure necessary to support continuous data flows. Can you describe what Meroxa is and the story behind it? How have the focus and goals of the platform and company evolved over the past 2 years?
In this engaging and witty talk, industry expert Conrado Morlan will explore how artificial intelligence can transform the daily tasks of product managers into streamlined, efficient processes. The Future of Product Management 🔮 How to continuously integrate AI into your work to stay ahead of emerging trends and technologies.
Free comprehensive teaching resources and a no-hassle setup: Teaching AI/ML, data science, apps and data cloud technologies shouldnt be bogged down by logistical challenges. Access to cutting-edge data technology: Snowflake is widely used by more than 10,000 enterprises across industries such as healthcare, financial services and retail.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. To start, can you share your definition of what constitutes a "Data Lakehouse"? What do you have planned for the future of Trino/Starburst?
A long-term approach to your data strategy is key to success as business environments and technologies continue to evolve. The rapid pace of technological change has made data-driven initiatives more crucial than ever within modern business strategies. However, they require a strong data foundation to be effective.
Introduction Nowadays, the corporate environment changes according to technology. Organizations are converting them to cloud-based technologies for the convenience of data collecting, reporting, and analysis.
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. That’s where data-driven construction comes in. You won’t want to miss this webinar!
Without adopting Iceberg tables, data teams are forced to spend significant time and resources managing migrations and governance before being able to capture the opportunities new technologies and solutions offer. As technology continues to evolve, Snowflake continues to prioritize its customers by supporting open source initiatives.
But as technology speeds forward, organizations of all sizes are realizing that generative AI isn’t just aspirational: It’s accessible and applicable now. You can begin to recognize that this technology, built with Cortex AI, can even start driving care, including suggesting and creating orders.
Juraj created a systems design explainer on how he built this project, and the technologies used: The systems design diagram for the Rides application The app uses: Node.js Both as an engineer, and especially as an engineering manager, don’t forget there’s a real cost to setting up and then maintaining infrastructure.
In essence, that was the story of WHOOP , the Boston-based wearable technology company aimed at enhancing human performance and endorsed by superstar athletes such as LeBron James and Cristiano Ronaldo. Data becomes distributed across multiple platforms; different teams end up using different tools.
Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
We organize all of the trending information in your field so you don't have to. Join 37,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content