Data Engineering Weekly

APRIL 2, 2023

Contribute to the Rudderstack Transformations Library, Win $1000 RudderStack Transformations lets you customize event data in real-time with your own JavaScript or Python code. Twitter: Twitter's Recommendation Algorithm Twitter open-source its recommendation engine code. As the author points out, it is simply not a scalable approach.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

DareData

JULY 29, 2020

Odds are that your local hospital, pharmacy or medical institution's definition of being data-driven is keeping files in labelled file cabinets, as opposed to one single drawer. One paper suggests that there is a need for a re-orientation of the healthcare industry to be more "patient-centric". What makes a good Data Pipeline?

Healthcare 52

Healthcare Data Pipeline Medical Pipeline-centric 52

Knowledge Hut

FEBRUARY 6, 2024

Implementing these practices in the software delivery pipeline makes a huge difference in productivity. With the workflows in place, the deployed code will be automated for building, testing, reporting, and releasing. All these are an automated process that is handled by the source control (repository of the code).

Pipeline-centric 52

Pipeline-centric Coding Project Manufacturing 52

Data Engineering Weekly

JANUARY 8, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. Pipelines for data in motion can quickly turn into DAG hell. Sign up free to test out the tool today.

Data Engineering 40

Data Engineering Data Engineer Engineering Pipeline-centric 40

Cloudera

NOVEMBER 15, 2021

Examples of unstructured data, on the other hand, include media (video, images, audio), text files (email, tweets), business productivity files (Microsoft Office documents, Github code repositories, etc.) . Generally speaking, structured data tends to have a more mature ecosystem for its analysis than unstructured data. Conclusions.

Unstructured Data 86

Unstructured Data Pipeline-centric Database-centric Entertainment 86

Ascend.io

SEPTEMBER 14, 2023

Immediate Execution: Python code runs directly through the interpreter, eliminating the need for a separate compilation step. Platform Independence: With an interpreter for a specific platform, Python code can typically run without changes. Statically typed, requiring type definition upfront.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Monte Carlo

JANUARY 9, 2024

He actually says that data should be believable — notice that’s not the same definition as correct, which I thought was very fascinating. But it is definitely challenging, and we’ve been talking about it in the industry for decades.” As long as the trend is fine, stakeholders don’t really care if it’s correct.

Pipeline-centric 52

Pipeline-centric Database-centric Data Manufacturing 52

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. 7 Be Intentional About the Batching Model in Your Data Pipelines Different batching models. Test system with A/A test.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

JANUARY 30, 2024

Data extraction vs. data mining Aspect Data Extraction Data Mining Definition The process of retrieving specific, usable data from unstructured or semi-structured sources. Customer Interaction Data: In customer-centric industries, extracting data from customer interactions (e.g., What is extraction in coding?

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Airbnb Tech

JUNE 1, 2021

Specifically, we will showcase how we standardize dataset definitions through declarative configurations, explain how data versioning enables us to ensure cross-dataset consistency, and illustrate how we backfill data efficiently with zero downtime. Anyone can look up definitions without confusion.

Datasets 52

Datasets Pipeline-centric Metadata Data Science 52

ProjectPro

DECEMBER 16, 2021

Hence, it is challenging to find a straightforward definition on the internet. Consider an AI/ML system as the combination of "Data" and "Code." The job of a Machine Learning Engineer is to maintain the software architecture, run data pipelines to ensure seamless flow in the production environment.

Machine Learning 52

Machine Learning Engineering Pipeline-centric Database-centric 52

Maxime Beauchemin

JANUARY 20, 2017

Like data scientists, data engineers write code. There’s a multitude of reasons why complex pieces of software are not developed using drag and drop tools: it’s that ultimately code is the best abstraction there is for software. They’re highly analytical, and are interested in data visualization.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

DataKitchen

JUNE 24, 2021

Whether it’s streaming, batch, virtualized or not, using active metadata, or just plain old regular coding, it provides a good way for the data and analytics team to add continuous value to the organization.”. Their definition of DataOps was that we do some automation and check a record count. Be business-centric.

Pipeline-centric 84

Pipeline-centric Manufacturing Education Data Cleanse 84

Rockset

NOVEMBER 1, 2022

Something to avoid, something to fear and definitely not something to do on a whim. Elasticsearch has become ubiquitous as an index centric datastore for search and rose in tandem with the popularity of the internet and Web2.0. Nothing to Fear Migration is often viewed as a 4 letter word in IT.

Database-centric 52

Database-centric Pipeline-centric SQL Aggregated Data 52

RandomTrees

NOVEMBER 29, 2023

Data Vault Architecture Some simple benefits As it is very clearly inferred from the above conceptual architecture a data vault technique is more scalable till and above pita bits of data, being ready for refactoring, more agile, can use familiar architecture principles using most available ETL/ELT codes and they can be generated at will.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52

Netflix Tech

JANUARY 10, 2024

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

Process 91

Process Pipeline-centric Media Metadata 91

Cloudera

SEPTEMBER 17, 2020

For modern data engineers using Apache Spark, DE offers an all-inclusive toolset that enables data pipeline orchestration, automation, advanced monitoring, visual troubleshooting, and a comprehensive management toolset for streamlining ETL processes and making complex data actionable across your analytic teams. Job Deployment Made Simple.

Data Pipeline 102

Data Pipeline Data Engineering Data Engineer Engineering 102

phData: Data Engineering

JULY 18, 2023

This typically results in long-running ETL pipelines that cause decisions to be made on stale or old data. Business-Focused Operation Model: Teams can shed countless hours of managing long-running and complex ETL pipelines that do not scale. This enables an automated continuous integration/continuous deployment system (CI/CD).

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52