The Netflix TechBlog

DECEMBER 21, 2020

Some of the optimizations are prerequisites for a high-performance data warehouse. Sometimes Data Engineers write downstream ETLs on ingested data to optimize the data/metadata layouts to make other ETL processes cheaper and faster. Both automatic (event-driven) as well as manual (ad-hoc) optimization.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

OCTOBER 18, 2022

Usability Netflix is a data-driven company, where key decisions are driven by data insights, from the pixel color used on the landing page to the renewal of a TV-series. Data scientists, engineers, non-engineers, and even content producers all run their data pipelines to get the necessary insights.

Java 202

Java Scalability Traffic Architecture 202

DZone

JANUARY 13, 2023

Using some sample data sets, you will learn how designated timestamps work and how to use extended SQL syntax to write queries on time-series data. Introduction Traditionally, SQL has been used for relational databases and data warehouses.

IoT 174

IoT Analytics Database Metrics 174

InfoQ

DECEMBER 29, 2023

Zendesk reduced its data storage costs by over 80% by migrating from DynamoDB to a tiered storage solution using MySQL and S3. The company considered different storage technologies and decided to combine the relational database and the object store to strike a balance between querybility and scalability while keeping the costs down.

Storage 134

Storage Scalability Database Technology 134

O'Reilly

JULY 15, 2020

Software engineers comprise the survey audience’s single largest cluster, over one quarter (27%) of respondents (Figure 1). Adding architects and engineers, we see that roughly 55% of the respondents are directly involved in software development. Use of a Central, Managed Database. Figure 1: Respondent roles.

Database 134

Database Architecture Education Systems 134

All Things Distributed

NOVEMBER 15, 2016

They require teams of data engineers to spend months building complex data models and synthesizing the data before they can generate their first report. Let’s walk through some of the core experiences of QuickSight that make it so easy to set up, connect to your data sources, and build visualizations in minutes.

Analytics 152

Analytics Availability Media Social Media 152

InfoQ

JULY 3, 2023

LinkedIn introduced Couchbase as a centralized caching tier for scaling member profile reads to handle increasing traffic that has outgrown their existing database cluster. The new solution achieved over 99% hit rate, helped reduce tail latencies by more than 60% and costs by 10% annually. By Rafal Gancarz

Cache 83

Cache Latency Traffic Database 83

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift.

Cloud 137

Cloud Big Data AWS Analytics 137

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. ETL is a product of the relational database era and it has not evolved much in last decade. There are several emerging data trends that will define the future of ETL in 2018.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

High Scalability

NOVEMBER 12, 2019

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. Try the 30-day free trial!

Education 22

Education Java Software Engineering Engineering 22

High Scalability

OCTOBER 29, 2019

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. Try the 30-day free trial!

Education 22

Education Java Software Engineering Engineering 22

High Scalability

JANUARY 7, 2020

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. Try the 30-day free trial!

Education 21

Education Java Software Engineering Engineering 21

High Scalability

DECEMBER 12, 2019

Sisu Data is looking for machine learning engineers who are eager to deliver their features end-to-end, from Jupyter notebook to production, and provide actionable insights to businesses based on their first-party, streaming, and structured relational data. Apply here. Try the 30-day free trial!

Education 21

Education Java Software Engineering Engineering 21

Abhishek Tiwari

APRIL 14, 2018

An ETL workflow is responsible for the extraction of data from the source systems, their cleaning, transformation, and loading into the target data warehouse. There are existing formal methods to model the schema of source systems or databases such as entity-relationship diagram (ERD). Closing thoughts.

Best Practices 40

Best Practices Database Design Efficiency 40

Abhishek Tiwari

DECEMBER 22, 2017

In classic Extract, transform, and load (ETL) model, we store entities in their corresponding application databases i.e. as rows in the relational tables. Then we perform frequent batch ETL from application databases to a data warehouse.

Big Data 40

Big Data Retail Storage Google 40

InfoQ

JULY 14, 2023

Mei-Chin Tsai, Vinod discuss the internal architecture of Azure Cosmos DB and how it achieves high availability, low latency, and scalability. By Mei-Chin Tsai, Vinod Sridharan

Latency 52

Latency Azure Availability Scalability 52