Remove 2007 Remove Efficiency Remove Network Remove Systems
article thumbnail

Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. created_utc?? ?

article thumbnail

Progress Delayed Is Progress Denied

Alex Russell

After 20 years of neck-in-neck competition, often starting from common code lineages, there just isn't that much left to wring out of the system. Consistent improvement is the name of the game, and it can still have positive impacts, particularly as users lean on the system more heavily over time. Delayed five years. Gamepad API.

Media 145
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Egnyte Architecture: Lessons learned in building and scaling a multi petabyte content platform

High Scalability

He and his colleagues spend their productive hours scaling large distributed file systems. Egnyte is a secure Content Collaboration and Data Governance platform, founded in 2007 when Google drive wasn't born and AWS S3 was cost-prohibitive. Java used to power core file system code. You can reach him at @kpatelwork. Introduction.

article thumbnail

The Management Revolution that Never Happened

The Agile Manager

The shift from manufacturing jobs to service jobs was supposed to give rise to networks of independent knowledge workers collaborating to achieve business outcomes. Wall Street Journal, 24 December 2007. Microcomputers improved the efficiency of data collection and made it easy to consolidate operational data. What happened?

article thumbnail

Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. This architecture shift greatly reduced the processing latency and increased system resiliency. Over the years, the system expanded to support various new use cases. This introductory blog focuses on an overview of our journey.

article thumbnail

Scaling Media Machine Learning at Netflix

The Netflix TechBlog

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. This feature store is equipped with a data replication system that enables copying data to different storage solutions depending on the required access patterns.

Media 290
article thumbnail

Strategic IT Does More than Assume Technology Risk, it Mitigates Business Risk

The Agile Manager

The latter role has been historically de facto granted because business systems are substantially technology systems, hence IT has had a direct (if unforseen and unofficial) hand in business process re-engineering, partner management, and compliance certification. Look for another Capital Markets paper in July 2007.