Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Web Performance Tuning. Professional Website Performance. Professional Website Performance. Website Optimization.

Performance 75

Performance Social Media Website Website Performance 75

Brendan Gregg

APRIL 30, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 40

DevOps Network Best Practices Programming 40

The Netflix TechBlog

JULY 21, 2022

We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform. With large data, comes the opportunity to leverage the data for predictive and classification based analysis.

Big Data 179

Big Data Cache Engineering Data Engineering 179

The Netflix TechBlog

APRIL 29, 2019

The service that orchestrates failover uses numpy and scipy to perform numerical analysis, boto3 to make changes to our AWS infrastructure, rq to run asynchronous workloads and we wrap it all up in a thin layer of Flask APIs. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid.

Open Source 279

Open Source Network Infrastructure Big Data 279

Rigor

SEPTEMBER 11, 2019

Find his research and analysis on the HTTP Archive Discussion forums. He has a keen interest in web technologies, performance tuning, security, and the practical use of technology. Would you like to be a part of Big Data and this incredible project? Check out the story behind this wonderful book.) Doug Sillars.

Performance 89

Performance Education Google Website 89

The Netflix TechBlog

JULY 26, 2021

Operational Reporting is a reporting paradigm specialized in covering high-resolution, low-latency data sets, serving detailed day-to-day activities¹ and processes of a business domain. The Netflix Data Warehouse offers support for users to create data movement workflows that are managed through our Big Data Scheduler, powered by Titus.

Big Data 253

Big Data Government Analytics Processing 253

O'Reilly

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hardware 98

Hardware Storage Big Data Blockchain 98

The Netflix TechBlog

MARCH 25, 2019

Netflix’s diverse data landscape made it challenging to capture all the right data and conforming it to a common data model. Spark is the primary big-data compute engine at Netflix and with pretty much every upgrade in Spark, the spark plan changed as well springing continuous and unexpected surprises for us.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

Percona

JANUARY 14, 2019

Currently, an issue has been opened to make the “tailing” based on the primary key much faster: slow order by primary key with small limit on big data. Text analysis. database: reddit table: rc_2017 mutation_id: mutation_858.txt ClickHouse does not offer full text search, however we can use some text functions.

Database 40

Database Analytics Blockchain Healthcare 40

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

AWS 166

AWS Lambda Artificial Intelligence Mobile 166