Abhishek Tiwari

DECEMBER 27, 2017

Kubernetes has emerged as go to container orchestration platform for data engineering teams. In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. Organisations are already using Kubernetes for a variety of workloads [1] [2] and data workloads are up next. Key challenges. Performance.

Big Data 63

Big Data Storage Benchmarking Hardware 63

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Big news this week was of course the launch of Cluster GPU instances for Amazon EC2. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. All Things Distributed.

AWS 68

AWS Cloud Benchmarking Storage 68

KeyCDN

OCTOBER 2, 2018

It’s awesome for discovering how grid systems, CSS animation, Big Data, etc all play roles in real-world web design. CSSWizardy CSSWizardy is a good place to learn about scalable CSS practices and robust coding in general. Be sure to check it out if your dev process needs a creative kick in the pants. Visit website 12.

Development 75

Development Website Design Code 75

Rigor

SEPTEMBER 11, 2019

Philip is a f ull stack architect, developer, and geek working primarily with the web to build applications that are scalable, performant and secure without compromising on usability. Would you like to be a part of Big Data and this incredible project? You can follow Steve on Twitter @ souders or watch his talks on YouTube.

Performance 89

Performance Education Google Website 89

Highly Scalable

MARCH 10, 2015

To a certain extent, such a high diversity of recommendation techniques is attributed to several implementation challenges like a sparsity of customer ratings, computational scalability, and lack of information on new items and customers.

Retail 152

Retail C++ Analytics Metrics 152