The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. We provide the job template MoveDataToKvDal for moving the data from the warehouse to one Key-Value DAL.

Latency 248

Latency Storage Big Data Tuning 248

DZone

JULY 17, 2023

Apache Spark is a leading platform in the field of big data processing, known for its speed, versatility, and ease of use. However, getting the most out of Spark often involves fine-tuning and optimization. Understanding Apache Spark Apache Spark is a unified computing engine designed for large-scale data processing.

Big Data 130

Big Data Performance Open Source Tuning 130

The Netflix TechBlog

MAY 26, 2020

Cloud Network Insight is a suite of solutions that provides both operational and analytical insight into the Cloud Network Infrastructure to address the identified problems. And in order to gain visibility into these logs, we need to somehow ingest and enrich this data. So how do we ingest all these s3 files?

Network 152

Network Tuning AWS Traffic 152

The Netflix TechBlog

JULY 26, 2021

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. At Netflix Studio, teams build various views of business data to provide visibility for day-to-day decision making. Please stay tuned! tactical) in nature.

Big Data 255

Big Data Government Processing Analytics 255

The Netflix TechBlog

NOVEMBER 20, 2023

For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. Backfill: Backfilling datasets is a common operation in big data processing.

Processing 214

Processing Big Data Efficiency Engineering 214

All Things Distributed

MARCH 28, 2011

We see that with our Amazon customers; when they hear a great tune on a radio they may identify it using the Shazam or Soundhound apps on their mobile phone and buy that song instantly from the Amazon MP3 store. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region.

AWS 122

AWS Cloud Storage Internet 122

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

SQL Server According to Bob

FEBRUARY 15, 2018

Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better. Friday Sessions: SQL Intelligence excels your tuning and security expertise – Veljko Vasic, Ron Matchoro and Frans Lytzen.

Engineering 40

Engineering Azure Best Practices Servers 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 153

AWS Lambda Artificial Intelligence Mobile 153

Adrian Cockcroft

NOVEMBER 18, 2024

uses big data to reduce methane emissions Trace gases including methane and carbon dioxide contribute to climate change and impact the health of millions of people across the globe. Discover how Scepter, Inc. aggregates vast datasets, pinpoints emissions, and helps customers like ExxonMobil monitor and mitigate methane releases.

AWS 98

AWS Energy Lambda Government 98

Percona

JANUARY 14, 2019

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. This information can be a mix of analytical (OLAP) queries (i.e. Analytical databases are optimized for a low number of slow queries.

Database 46

Database Analytics Blockchain Healthcare 46