DZone

JULY 3, 2023

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. In this article, we will explore the benefits of leveraging IaC for data engineering projects and provide detailed implementation steps to get started.

Data Engineering 150

Data Engineering Infrastructure Engineering Code 150

The Netflix TechBlog

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Dhevi Rajendran Dhevi Rajendran This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Data Engineers of Netflix?—?Interview

Data Engineering 139

Data Engineering Engineering Software Engineering Big Data 139

The Netflix TechBlog

JUNE 1, 2021

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?

Data Engineering 130

Data Engineering Engineering Big Data Healthcare 130

DZone

FEBRUARY 27, 2023

It's midnight in the dim and cluttered office of The New York Times, currently serving as the "situation room." A powerful surge of traffic is inevitable. During every major election, the wave would crest and crash against our overwhelmed systems before receding, allowing us to assess the damage.

Data Engineering 182

Data Engineering Engineering Traffic Systems 182

DZone

MARCH 29, 2023

This article discusses the challenges and best practices of data migration when transferring on-premise data to the cloud. The article will also explore the role of data engineering in ensuring successful data transfer and integration and different approaches to data migration.

Best Practices 315

Best Practices Cloud Storage Data Engineering 315

DZone

DECEMBER 27, 2023

Welcome to the first post in our exciting series on mastering offline data pipeline's best practices, focusing on the potent combination of Apache Airflow and data processing engines like Hive and Spark. Working together, they form the backbone of many modern data engineering solutions.

Best Practices 140

Best Practices Data Engineering Big Data Games 140

DZone

FEBRUARY 20, 2023

The data community is striving to incorporate the core concepts of engineering rigor found in software communities but still has further to go. This is achieved through practices like Infrastructure as Code for deployments, automated testing, application observability, and end-to-end application lifecycle ownership.

Software Engineering 274

Software Engineering Engineering Software Software 274

DZone

AUGUST 16, 2023

From a data engineer's point of view, financial risk management is a series of data analysis activities on financial data. The financial sector imposes its unique requirements on data engineering.

FinTech 130

FinTech Engineering Data Engineering Latency 130

DZone

JANUARY 27, 2023

Data lineage, an automated visualization of the relationships for how data flows across tables and other data assets, is a must-have in the data engineering toolbox.

Government 182

Government Data Engineering Engineering 182

DZone

JANUARY 31, 2024

Problem Statement In Data Engineering , the data/log collection is a challenging task for high-volume sources. Compliance Reporting: SIEM solutions help organizations meet regulatory compliance requirements by providing reporting and audit trail capabilities.

Storage 145

Storage Data Engineering Network Infrastructure 145

The Netflix TechBlog

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.

Processing 231

Processing Data Engineering Efficiency Analytics 231

High Scalability

JUNE 15, 2020

This is a guest post by Eunice Do , Data Engineer at TripleLift , a technology company leading the next generation of programmatic advertising. The system is the data pipeline at TripleLift. TripleLift is an adtech company, and like most companies in this industry, we deal with high volumes of data on a daily basis.

Processing 206

Processing Data Engineering Engineering Efficiency 206

Simform

JANUARY 8, 2023

Data ingestion is the foremost layer in a data engineering pipeline, acting as a vital pillar in the overall analytics architecture. Thus, it is essential to implement data ingestion just right. Here is everything you need to know to take the first step toward a flawless data pipeline.

Data Engineering 52

Data Engineering Analytics Architecture Engineering 52

The Netflix TechBlog

NOVEMBER 14, 2023

This helps overwrite data only when required and minimizes unnecessary reprocessing. As seen above, by chaining these Psyberg workflows, we could automate the catchup for late-arriving data from hours 2 and 6. The Data Engineer does not need to perform any manual intervention in this case and can thus focus on more important things!

Tuning 250

Tuning Processing C++ Efficiency 250

The Netflix TechBlog

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Give us a holler if you are interested in a thought exchange.

Infrastructure 184

Infrastructure Cloud Scalability AWS 184

Dynatrace

JULY 6, 2022

This requires significant data engineering efforts, as well as work to build machine-learning models. While automating IT processes without integrated AIOps can create challenges, the approach to artificial intelligence itself can also introduce potential issues. AI that is based on machine learning needs to be trained.

Artificial Intelligence 190

Artificial Intelligence Tuning Strategy Big Data 190

The Netflix TechBlog

MARCH 2, 2021

At Netflix, our data scientists span many areas of technical specialization, including experimentation, causal inference, machine learning, NLP, modeling, and optimization. Together with data analytics and data engineering, we comprise the larger, centralized Data Science and Engineering group.

Analytics 214

Analytics C++ Innovation Engineering 214

Percona Community

OCTOBER 14, 2020

next day) Abstract Not so long ago, operations specialists worked much like today’s data engineers do: with specialized skills, they were the people who kept sites running, who responded to emergencies, and who—unfortunately—spent much of their time dealing with incidents and other “fires. London 5:30 p.m. •

Engineering 52

Engineering DevOps Data Engineering 52

Percona Community

OCTOBER 3, 2018

For Percona Live Europe, I’ll be presenting the tutorial Elasticsearch 101 alongside my colleagues and fellow presenters from ObjectRocket Alex Cercel, DBA, and Mihai Aldoiu, Data Engineer. Here’s a brief overview of our tutorial.

Data Engineering 52

Data Engineering Scalability Engineering 52

The Netflix TechBlog

MARCH 7, 2024

Since then, open-source Metaflow has gained support for Argo Workflows , a Kubernetes-native orchestrator, as well as support for Airflow which is still widely used by data engineering teams. Internally, we use a production workflow orchestrator called Maestro.

Systems 233

Systems Media Cache Open Source 233

High Scalability

MARCH 17, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 105

Education Engineering Java Software Engineering 105

High Scalability

MARCH 3, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 114

Education Engineering Games Java 114

High Scalability

FEBRUARY 18, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 113

Education Engineering Games Java 113

High Scalability

APRIL 14, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 105

Education Software Engineering Scalability Engineering 105

The Agile Manager

JULY 31, 2022

There are shadow IT teams of developers or data engineers that spring up in areas like operations or marketing because the captive IT function is slow, if not outright incapable, of responding to internal customer demand. IT shadows appear in a lot of different forms.

Programming 59

Programming Engineering Data Engineering Innovation 59

High Scalability

MAY 12, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

MARCH 24, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 105

Education Software Engineering Engineering Big Data 105

High Scalability

FEBRUARY 9, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 108

Education Engineering Games Java 108

High Scalability

APRIL 28, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 102

Education Software Engineering Scalability Engineering 102

High Scalability

MARCH 30, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 105

Education Software Engineering Engineering Big Data 105

The Netflix TechBlog

MARCH 4, 2024

We would like to appreciate all folks, including Spark experts, data scientists, ML engineers, the scheduler and job orchestrator engineers, data engineers, and support engineers, for sharing the context and providing constructive suggestions and valuable feedback (e.g.,

Tuning 215

Tuning Efficiency Big Data Engineering 215

High Scalability

MAY 26, 2020

Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Our intuitive software allows data engineers to maintain pipelines without writing code, and lets analysts gain access to data in minutes instead of months.

Education 100

Education AWS Software Engineering Scalability 100

The Netflix TechBlog

NOVEMBER 22, 2019

1:45pm-2:45pm NFX 201 More Data Science with less engineering: ML Infrastructure Ville Tuulos , Machine Learning Infrastructure Engineering Manager Abstract : Netflix is known for its unique culture that gives an extraordinary amount of freedom to individual engineers and data scientists.

AWS 100

AWS Entertainment Open Source Benchmarking 100

The Netflix TechBlog

NOVEMBER 22, 2019

1:45pm-2:45pm NFX 201 More Data Science with less engineering: ML Infrastructure Ville Tuulos , Machine Learning Infrastructure Engineering Manager Abstract : Netflix is known for its unique culture that gives an extraordinary amount of freedom to individual engineers and data scientists.

AWS 100

AWS Entertainment Open Source Benchmarking 100

All Things Distributed

AUGUST 24, 2012

Which makes this week a good moment to read up on some of the historical work around the costs of data engineering. For this purpose I have picked work based on two papers by Jim Gray , the brilliant IBM / Tandem / Microsoft researcher, who won a Turing award for his contributions to data and transaction processing.

Storage 103

Storage Hardware AWS Data Engineering 103

O'Reilly

FEBRUARY 2, 2020

Collaboration between AI developers and operations teams will lead to growing pains on both sides, especially since many data scientists and AI researchers have had limited exposure to, or knowledge of, software engineering. It’s going to be an interesting few years as operations assimilates AI.

Software Architecture 69

Software Architecture Monitoring Software Engineering Architecture 69

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.

Big Data 63

Big Data Storage Benchmarking Hardware 63