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Offline Data Pipeline Best Practices Part 1:Optimizing Airflow Job Parameters for Apache Hive

DZone

This post focuses on elevating our data engineering game, streamlining your data workflows, and significantly cutting computing costs. The need to optimize offline data pipeline optimization has become a necessity with the growing complexity and scale of modern data pipelines.

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Sponsored Post: InterviewCamp.io, Scrapinghub, Fauna, Sisu, Educative, PA File Sight, Etleap, Triplebyte, Stream

High Scalability

Scrapinghub is hiring a Senior Software Engineer (Big Data/AI). this is going to be a challenging journey for any backend engineer! Learn the stuff they don't teach you in the AWS docs. Filter out the distracting hype, and focus on the parts of AWS that you'd be foolish not to use. Try out their platform.

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Spice up your Analytics: Amazon QuickSight Now Generally Available in N. Virginia, Oregon, and Ireland.

All Things Distributed

As I mentioned, we live in a world where massive volumes of data are being generated, every day, from connected devices, websites, mobile apps, and customer applications running on top of AWS infrastructure. Auto-discovery : One of the challenges with BI is discovering and accessing the data. Enter Amazon QuickSight.

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Expanding the Cloud: Introducing Amazon QuickSight

All Things Distributed

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.

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Data Pipelines: The Hammer for Every Nail

Abhishek Tiwari

In the era of big data and complex data processing, data pipelines have emerged as a popular solution for managing and manipulating data. They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights.

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Hyper Scale VPC Flow Logs enrichment to provide Network Insight

The Netflix TechBlog

Service Segmentation: The ease of the cloud deployments has led to the organic growth of multiple AWS accounts, deployment practices, interconnection practices, etc. VPC Flow Logs VPC Flow Logs is an AWS feature that captures information about the IP traffic going to and from network interfaces in a VPC.

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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

We adopted the following mission statement to guide our investments: “Provide a complete and accurate data lineage system enabling decision-makers to win moments of truth.” Netflix’s diverse data landscape made it challenging to capture all the right data and conforming it to a common data model.