Abhishek Tiwari

APRIL 14, 2018

Developing Extract–transform–load (ETL) workflow is a time-consuming activity yet a very important component of data warehousing process. The process to develop ETL workflow is often ad-hoc, complex, trial and error based. It has been suggested that formal modeling of ETL process can alleviate most of these pain points.

Best Practices 40

Best Practices Database Efficiency Design 40

The Netflix TechBlog

NOVEMBER 14, 2023

Furthermore, we’ll delve into the inner workings of Psyberg, its unique features, and how it integrates into our data pipelining workflows. Late-arriving data is essentially delayed data due to system retries, network delays, batch processing schedules, system outages, delayed upstream workflows, or reconciliation in source systems.

Data Engineering 264

Data Engineering Engineering Processing Games 264

The Netflix TechBlog

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

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Systems Media Cache Open Source 226

Dynatrace

JANUARY 31, 2024

In the age of AI, data observability has become foundational and complementary to AI observability, data quality being essential for training and testing AI models. Once confirmed in a notebook, the number of field keys can be used in an automated workflow to continuously monitor the count and write it back to a new metric (Figure 3).

DevOps 194

DevOps Analytics Airlines Metrics 194

Tasktop

JANUARY 9, 2020

For many, obtaining the one source of truth into what is going on through ETL and custom reporting—chiefly in terms of compliance—is extremely labor-intensive and getting more expensive by the day. Crucially, Tasktop can enable Enterprise IT to overcome three key challenges in generating cross-tool custom reports: Challenge 1: Cost of ETL.

Software 59

Software Software Metrics Database 59

The Netflix TechBlog

DECEMBER 3, 2022

That feature is called sample workflows , but before we start in let’s have a quick look at Dataflow in general. sample Generate fully functional sample workflows. Sample workflows Dataflow sample workflows is a set of templates anyone can use to bootstrap their data pipeline project. project Manage a Dataflow project.

Best Practices 358

Best Practices Code Testing Data Engineering 358

The Netflix TechBlog

JULY 26, 2021

The paradigm spans across methods, tools, and technologies and is usually defined in contrast to analytical reporting and predictive modeling which are more strategic (vs. In the initial stage, data consumers set up ETL pipelines directly pulling data from databases. tactical) in nature. The audits check for equality (i.e.

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Big Data Government Analytics Processing 253