Cloud, Data Engineering and Storage - Technology Performance Pulse

Overcoming Challenges and Best Practices for Data Migration From On-Premise to Cloud

DZone

MARCH 29, 2023

Data migration is the process of moving data from one location to another, which is an essential aspect of cloud migration. Data migration involves transferring data from on-premise storage to the cloud.

Best Practices

Best Practices Cloud Storage Data Engineering

Data pipeline asset management with Dataflow

The Netflix TechBlog

FEBRUARY 9, 2022

Let’s define some requirements that we are interested in delivering to the Netflix data engineers or anyone who would like to schedule a workflow with some external assets in it. This causes the user-managed storage system to be a critical runtime dependency. Real example of a deployment script.

Storage

Storage Data Engineering Testing Code

Netflix at AWS re:Invent 2019

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Thursday?—?December

AWS

AWS Entertainment Open Source Benchmarking

Expanding the Cloud: Introducing Amazon QuickSight

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

Cloud Big Data AWS Analytics

These 7 Edge Data Challenges Will Test Companies the Most in 2025

VoltDB

DECEMBER 11, 2024

Data Overload and Storage Limitations As IoT and especially industrial IoT -based devices proliferate, the volume of data generated at the edge has skyrocketed. Managing and storing this data locally presents logistical and cost challenges, particularly for industries like manufacturing, healthcare, and autonomous vehicles.

IoT

IoT Energy Logistics Latency

Pushy to the Limit: Evolving Netflix’s WebSocket proxy for the future

The Netflix TechBlog

SEPTEMBER 10, 2024

The folks on the Cloud Data Engineering (CDE) team, the ones building the paved path for internal data at Netflix, graciously helped us scale it up and make adjustments, but it ended up being an involved process as we kept growing. Security As the edge of the Netflix cloud, security considerations are always top of mind.

Latency

Latency Cache Tuning Efficiency

Netflix at AWS re:Invent 2019

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Thursday?—?December

AWS

AWS Entertainment Open Source Benchmarking

Netflix at AWS re:Invent 2019

The Netflix TechBlog

NOVEMBER 22, 2019

4:45pm-5:45pm NFX 202 A day in the life of a Netflix Engineer Dave Hahn , SRE Engineering Manager Abstract : Netflix is a large, ever-changing ecosystem serving millions of customers across the globe through cloud-based systems and a globally distributed CDN. Thursday?—?December

AWS

AWS Entertainment Open Source Benchmarking

Kubernetes for Big Data Workloads

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. Storage provisioning.

Big Data

Big Data Storage Benchmarking Hardware

5 data integration trends that will define the future of ETL in 2018

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. With the arrival of new cloud-native tools and platform, ETL is becoming obsolete. There are several emerging data trends that will define the future of ETL in 2018. Common in-memory data interfaces.

Big Data

Big Data Artificial Intelligence Storage Hardware

A case for ELT

Abhishek Tiwari

DECEMBER 22, 2017

Cheap storage and on-demand compute in the cloud coupled with the emergence of new big data frameworks and tools are forcing us to rethink the whole ETL and data warehousing architecture. There is a strong argument for ELT i.e. extract, load, and transform model. Classic ETL. Stateless and elastic.

Big Data

Big Data Retail Storage Google

Friends don't let friends build data pipelines

Abhishek Tiwari

JULY 12, 2018

Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.

Latency

Latency Analytics Scalability Engineering

Symphonia at Velocity 2018, and more Serverless Insights

The Symphonia

JUNE 19, 2018

Some in-depth and unusual client work (want to encrypt a petabyte of S3 storage? From data engineering, to cost management, via conversations about team dynamics and architecture, we like to get involved with all-things-cloud-and-DevOps related at our clients. Unlike the temperature outside.

Serverless

Serverless AWS DevOps Open Source

Cloud Efficiency at Netflix

The Netflix TechBlog

DECEMBER 17, 2024

By J Han , PallaviPhadnis Context At Netflix, we use Amazon Web Services (AWS) for our cloud infrastructure needs, such as compute, storage, and networking to build and run the streaming platform that we love. The standardized data model and processing promotes scalability and consistency.

Efficiency

Efficiency Cloud Analytics Infrastructure

Technology Performance Pulse

Overcoming Challenges and Best Practices for Data Migration From On-Premise to Cloud

Data pipeline asset management with Dataflow

Trending Sources

Netflix at AWS re:Invent 2019

Expanding the Cloud: Introducing Amazon QuickSight

These 7 Edge Data Challenges Will Test Companies the Most in 2025

Pushy to the Limit: Evolving Netflix’s WebSocket proxy for the future

Netflix at AWS re:Invent 2019

Netflix at AWS re:Invent 2019

Kubernetes for Big Data Workloads

5 data integration trends that will define the future of ETL in 2018

A case for ELT

Friends don't let friends build data pipelines

Symphonia at Velocity 2018, and more Serverless Insights

Cloud Efficiency at Netflix

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