Workfall

SEPTEMBER 18, 2023

Pre-filter and pre-aggregate data at the source level to optimize the data pipeline’s efficiency. Adapt to Changing Data Schemas: Data sources aren’t static; they evolve. Account for potential changes in data schemas and structures.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Knowledge Hut

DECEMBER 28, 2023

No Software Load Whether you are working on the cloud or your on-premise system, you’ll need to install some software for database access. If you use an online SQL tool though, all you need is a web browser to access the tool. You can check to see if they have a free version and give it a shot first with some dummy data.

SQL 52

SQL MySQL PostgreSQL Database 52

Confluent

MAY 28, 2019

The primary cluster: Coordinates primary election among all the Schema Registry instances. Contains the schemas topic, to which primary instances back up newly registered schemas. Confluent Replicator then copies the Kafka schemas topic from the primary cluster to the other cluster for backup. powered by Typeform.

Management 85

Management Kafka Java Certification 85

dbt Developer Hub

FEBRUARY 7, 2022

It includes a set of demo CSV files, which you can use as dbt seeds to test Donny's project for yourself. If not, I’d recommend taking a second to look at Claire Carroll’s README for the original Jaffle Shop demo project (otherwise this playbook is probably going to be a little weird, but still useful, to read).

Data Warehouse 52

Data Warehouse Datasets Data SQL 52

Monte Carlo

FEBRUARY 6, 2023

Migrations require support from everyone from data engineers and stakeholders to cross-functional partners in order to be successful, so it’s critically important to get the right people around the table early. What teams will be using your new data warehouse? What will they need access to and when? Is your data structured?

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Confluent

APRIL 30, 2019

This operator can take an arbitrary transform processor similar to the Processor API and be associated with a state store named stateStore to be accessed within the processor. Another good example of combining the two approaches can be found in the Real-Time Market Data Analytics Using Kafka Streams presentation from Kafka Summit.

Kafka 91

Kafka Coding Process Bytes 91

Monte Carlo

MAY 31, 2024

LLMs act as silent enablers, working behind the scenes to ensure that data serves its true purpose: driving informed decisions. Automated Machine Learning, or AutoML, makes machine learning more accessible and efficient, enabling users to build models with high predictive performance and minimal manual intervention.

Data Science 52

Data Science Data Schemas Machine Learning Datasets 52

Monte Carlo

APRIL 20, 2023

Overwhelmed data engineers need to have the proper context of the blast radius to understand which incidents need to be addressed right away, and which incidents are a secondary priority. This is one of the most frequent data lineage use cases leveraged by Vox. Here are four data lineage use cases for data access and enablement.

Data Warehouse 52

Data Warehouse BI Data Government 52