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I’ve spent a lot of time at conferences talking about all the wonderful things that are now possible using machine learning on embedded devices, but as Stacey Higginbotham pointed out at this…

Origem: What are ML Sensors? « Pete Warden’s blog

Data-Science-in-Context-V.99-Web-BetaAuthors’ Manuscript of Data Science in Contex

Origem: Data Science in Context: Foundations, Challenges, Opportunities | Authors’ Manuscript of Data Science in Contex

BigLake is the name given by Google to an underlying data access engine used to provide access to data stored in either BigQuery or in…

Origem: GCP BigLake introduction. BigLake is the name given by Google to… | by Neil Kolban | Google Cloud – Community | Apr, 2022 | Medium

ByteByteGo_LinkedIn_PDF

I just put all the technical LinkedIn posts in one big PDF. It covers 75 topics and has 158 pages! A little background: I’ve been consistently posting on LinkedIn for 7 months now. With so many people on LinkedIn reading my posts, I’m extremely grateful.

Origem: Free System Design PDF (158 pages)

Selecting the correct MTT* metric to improve your incident response is important. If the wrong metric is chosen, the improvements may get lost in the noise of a multivariable equation. This article reviews the various MTT* metrics available and discusses the best scenarios for selecting each one.

Origem: How to Best Use MTT* Metrics to Optimize Your Incident Response

Everyone has heard about Microservices. But do you know how to design one?

Origem: Microservices Design Guide ???. Everyone has heard about Microservices… | by Thilina Ashen Gamage | Platform Engineer | Medium

SREs are a rare bunch in the software community. But there’s little denying that the approach of Site Reliability Engineering is the future of software operations.

Origem: How SREs are unique in their approach to work – Cruform

A critical review of the popular API paradigms.

Origem: REST vs. GraphQL: A Critical Review

A while back I wrote an article called Understanding RPC, REST and GraphQL which outlined the “what” in how these various approaches differ…

Origem: Picking the right API Paradigm

re:Work – People analytics can help to assess the effectiveness of people practices, programs, and processes. Understand how knowledge of social and data sciences can help you make more informed, objective people decisions.

Origem: re:Work – People Analytics

Nowadays, Microservices is one of the most popular buzz-words in the field of software architecture. There are quite a lot of learning…

Origem: Pragmatic Microservices. Nowadays, Microservices is one of the… | by Kasun Indrasiri | Microservices in Practice | Medium

Nowadays, Microservices is one of the most popular buzz-words in the field of software architecture. There are quite a lot of learning…

Origem: Pragmatic Microservices. Nowadays, Microservices is one of the… | by Kasun Indrasiri | Microservices in Practice | Medium

A map that represents what tech career progression looks like and what it requires.

Origem: The Skills Map of Senior Tech Career Progression | Code Capsule

Microservices architecture is a methodology wherein fragment monolithic single application into small applications and services which executes lightweight applications. Business capabilities and independently deployable models are the primary goals for Microservices development. Microservices architecture built using different programming languages and deployed them and connect.

Origem: Top Microservices Frameworks – DZone Microservices

It’s a made-up computer word that my word processor decorates with a wiggly red you-can’t-spell line. At least it did until I clicked “Add to Dictionary” (it got too annoying as I was writing a book on computer observability).Observability: The ability to observe.Observe-ability. Observability.

Origem: What is Observability

In this article, I’d like to share my knowledge and experience in Garanti BBVA, about moving from monolithic to microservices…

Origem: Data Consistency in Microservices Architecture | by Dilfuruz K?z?lp?nar | Apr, 2021 | Medium

In this article, we’re learning about the Architecture and the system design of Taxi Application services like Uber. In the Uber…

Origem: Uber Architecture and System Design | by Kasun Dissanayake | Nerd For Tech | Mar, 2021 | Medium

G2 Stack | Level up sales and marketing with high-res tech stack data

Origem: G2 Stack | Level up sales and marketing with high-res tech stack data

When teaching data science it’s very useful to demonstrate the interaction between data and a machine learning model. To get a feeling for this interaction it helps to see the effect of a model when it is applied to different datasets.

Origem: calmcode – learn code calmly

Origem: RS-485 – Wikipedia

Many have wondered, and some have even claimed to know, which data-organization style provides the best performance in a data warehouse. The two schools of thought are, roughly:Denormalize the data into one-big-table (OBT) so that the warehouse never has to do any joins on-the-flyMaintain a star schema that can take advantage of sort keys on the dimension tables

Origem: Star Schema vs. OBT for Data Warehouse Performance | Blog | Fivetran

?Kepler.gl is a data-agnostic, high-performance web-based application for visual exploration of large-scale geolocation data sets. Built on top of Mapbox GL and deck.gl, kepler.gl can render millions of points representing thousands of trips and perform spatial aggregations on the fly.Kepler.gl is also a React component that uses Redux to manage its state and data flow. It can be embedded into other React-Redux applications and is highly customizable. For information on how to embed kepler.gl in your app take a look at this step-by-step tutorial on vis.academy.

Origem: Welcome – kepler.gl

Como um acidente que deixou 33 mineiros soterrados cativou por dois meses espectadores do mundo todo

Origem: Mineiros do Chile: a incrível e dramática saga acompanhada pelo mundo ao vivo na TV – BBC News Brasil

Product Discovery is a broad topic related to customer, user, market and product research. It’s about understanding market, customer and…

Origem: Addressing The Challenges of Product Discovery | by Saeed Khan | The Startup | Medium