The Pathways System – Google’s NextGen ML Platform for LLMs
(T) Jeff Dean announced the vision for Google’s next generation model Pathways in a blog post in the fall of 2021. Another blog article and a paper was published about […]
Designing a Spark Data Pipeline
(T) One of my MLOps engineers asked me about my experience with the design of Spark data pipelines for processing large volume of data sets. Following is a summary of […]
Statistical Modeling on a Machine Learning Platform
(T) Statistical modeling and machine learning are sometime considered as the “same side of the same coin” since both fields leverages statistical methods to learn about data. But there are […]
Machine Learning Platforms and Data Pipelines at Google, Facebook and Uber
(T) When you are a small start-up of fewer than 20 employees, you obviously have only one machine learning platform for all your analytics and services. That is not obviously […]
Scale By the Bay
(T) If you are interested to learn and share your experience and expertise in functional programming, reactive microservices, and data pipelines for machine learning, you definitely want to attend this […]
Big Data Analytics & Machine Learning @ Google Cloud Next
(T) This week at the Moscone Center in San Francisco, Google had its annual Cloud conference, Next, focusing on the Google Cloud Platform (GCP). Google made many announcements regarding GCP’s […]
Scala By the Bay
(T) If you are interested to learn and share your experience and expertise in functional programming, reactive microservices, and data pipelines for machine learning, you definitely want to attend next […]
From PostgreSQL to MongoDB – What Has Changed?
(T) I had the opportunity to listen last year to the “confessions” of Conrad Irwin (@ConradIrwin), a PostrgreSQL programmer now working on MongoDB @ an HTML 5 Developer Conference in San Francisco. There have been a […]
NodeJS the Favorite Back-End Tool for JS Developers
(T) Among emerging development platforms for back-end Web services, go to any conference, and you will hear about Node.js. San Francisco had just a conference a few weeks ago: Node Summit. While […]
NoSQL Database Conference
(T) The NoSQL database conference “NoSQL Now” occurred this week in San Jose. All the major NoSQL vendors were there: mongoDB, Objectivity, Crouchbase, Neo4j… Like last year, what surprised me was the […]
Big Data – Parallel Programming – MapReduce and Hadoop
(T) One of the many challenges of providing cloud-based consumer Web services is first to invest in the required computing infrastructure, and second to maximize the ROI of that infrastructure. […]
Big Data – NoSQL versus SQL Databases – MongoDB versus Drizzle
(T) While database engineers from the last two decades were trained to develop with SQL databases, the new generations of engineers are trained to develop with NoSQL databases for Big […]
Big Data – Web Application Services – Node.js versus Tornado
(T) To cover the capital investments (CAPEX) and the operating investments (OPEX) required for a cloud-based infrastructure such as the ones from Facebook, Yahoo, or Amazon, in order to provide a […]
From Java to Scala
(T) Martin Odersky, a professor at the Ecole Polytechnique Federale de Lausanne (EPFL) in Switzerland and author of Scala (Scalable Language) recently came to Silicon Valley and presented the new […]
What Kind of Cloud Do We Want?
(T) Thirty years ago, Ken Olsen, founder, and CEO of Digital Equipment, never believed in the PC. His argument was that “why someone would use a PC when much more computing […]
A Silicon Valley Insider 