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 103

Data Pipeline Data Engineering Data Engineer Engineering 103

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

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

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 88

Unstructured Data Pipeline-centric Database-centric Entertainment 88

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

Knowledge Hut

JANUARY 30, 2024

The extracted data is then duplicated or transferred to a designated destination, often a data warehouse optimized for Online Analytical Processing (OLAP). Data extraction vs. data mining Aspect Data Extraction Data Mining Definition The process of retrieving specific, usable data from unstructured or semi-structured sources.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 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

Airbnb Tech

JUNE 1, 2021

We spent years iterating toward the right metric infrastructure and designing the right user experience. Minerva’s Design Principles As shared in Part I , Minerva was born from years of growing pains and related metric inconsistencies found within and across teams. Anyone can look up definitions without confusion.

Datasets 52

Datasets Pipeline-centric Metadata Data Science 52

DataKitchen

JUNE 24, 2021

Ryan Chapin, Former Executive Manager, Advanced Additive Design, Chief Product and Portfolio Manager, GE Aviation. We really believed in having both the data scientists, as well as the engineers who are responsible for complex design all in the same place. We had around 10,000 plus design engineers for our jet engine products.

Pipeline-centric 84

Pipeline-centric Manufacturing Education Data Cleanse 84

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

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. Modern Data Stacks embrace governance as a core design principle.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

RandomTrees

NOVEMBER 29, 2023

The use of traditional 3 NF of Bill Inmon in the relational model and Ralf Kimball’s Star Schema design for the OLAP would be a bit outdated. So, here the necessary for a more agile model is required and so a data vault model was designed which would fetch the solution using a 3NF and dimensional model together.

Data Warehouse 52

Data Warehouse Data Lake Database-centric Data Cleanse 52