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The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).
As Uber Freight marked its second anniversary, we went back to the drawing board to redesign its app. The original carrier app was successful for owner-operators with one or two drivers, but it wasn’t optimized for larger fleets—feedback we … The post Building the New Uber Freight App as Lists of Modular, Reusable Components appeared first on Uber Engineering Blog.
Summary Data engineers are responsible for building tools and platforms to power the workflows of other members of the business. Each group of users has their own set of requirements for the way that they access and interact with those platforms depending on the insights they are trying to gather. Benn Stancil is the chief analyst at Mode Analytics and in this episode he explains the set of considerations and requirements that data analysts need in their tools and.
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Speaker: Jason Chester, Director, Product Management
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Contrary to popular belief, in today's technology-enabled, digitally-disrupted world, it's the human element that matters the most in business. Read more!
Many of our users implement operational reporting and analytics on DynamoDB using Rockset as a SQL intelligence layer to serve live dashboards and applications. As an engineering team, we are constantly searching for opportunities to improve their SQL-on-DynamoDB experience. For the past few weeks, we have been hard at work tuning the performance of our DynamoDB ingestion process.
Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch with computational graphs.
Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch with computational graphs.
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Summary Managing big data projects at scale is a perennial problem, with a wide variety of solutions that have evolved over the past 20 years. One of the early entrants that predates Hadoop and has since been open sourced is the HPCC (High Performance Computing Cluster) system. Designed as a fully integrated platform to meet the needs of enterprise grade analytics it provides a solution for the full lifecycle of data at massive scale.
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This post will walk you through the process of how to turn this awesome chat tool into a handy monitoring & alerting tool for your application. All this without any 3rd party modules and minimal code to keep the footprint small. Note: This post is using now outmoded integration method. Slack has introduced new ways to manage and send messages via Apps.
As a data scientist, you are in high demand. So, how can you increase your marketability even more? Check out these current trends in skills most desired by employers in 2019.
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Summary The extract and load pattern of data replication is the most commonly needed process in data engineering workflows. Because of the myriad sources and destinations that are available, it is also among the most difficult tasks that we encounter. Fivetran is a platform that does the hard work for you and replicates information from your source systems into whichever data warehouse you use.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
In this blog, we examine DynamoDB reporting and analytics, which can be challenging given the lack of SQL and the difficulty running analytical queries in DynamoDB. We will demonstrate how you can build an interactive dashboard with Tableau, using SQL on data from DynamoDB, in a series of easy steps, with no ETL involved. DynamoDB is a widely popular transactional primary data store.
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Check out this list of NLP researchers, practitioners and innovators you should be following, including academics, practitioners, developers, entrepreneurs, and more.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
As Uber Freight marked its second anniversary, we went back to the drawing board to redesign its app. The original carrier app was successful for owner-operators with one or two drivers, but it wasn’t optimized for larger fleets—feedback we … The post Building the New Uber Freight App as Lists of Modular, Reusable Components appeared first on Uber Engineering Blog.
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Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
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