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

Striim

SEPTEMBER 11, 2024

Strimmer: To build the data pipeline for our Strimmer service, we’ll use Striim’s streaming ETL data processing capabilities, allowing us to clean and format the data before it’s stored in the data store. Schedule a demo today to discover how Striim can transform your data management strategy.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Monte Carlo

OCTOBER 11, 2022

Unbeknownst to you, the training data contains a table with aggregated visitor website data with columns that haven’t been updated in a month. It turns out the marketing operations team upgraded to Google Analytics 4 to get ahead of the July 2023 deadline which changed the data schema.

IT 52

IT Datasets Data Warehouse Data Analysis 52

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

Knowledge Hut

DECEMBER 28, 2023

Compare and sync servers, data, schema, and other components of the database Transaction Rollback Functionality that mitigates the need for short-term backup. You can check to see if they have a free version and give it a shot first with some dummy data. Some SQL tool providers also offer limited demo versions.

SQL 52

SQL MySQL PostgreSQL Database 52

Confluent

MAY 28, 2019

Therefore, not restricting access to the Schema Registry might allow an unauthorized user to mess with the service in such a way that client applications can no longer be served schemas to deserialize their data. Allow end user REST API calls to Schema Registry over HTTPS instead of the default HTTP.

Management 85

Management Kafka Java Certification 85

Monte Carlo

FEBRUARY 6, 2023

But just to be safe, here are a few tips: Document your current data schema and lineage. This will be important when you have to cross-reference your old data ecosystem with your new one. But with the right planning—and a few best practices—you’ll be on your way to leveraging a shiny dew cloud data warehouse in no time (ish).

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Confluent

APRIL 30, 2019

Although the Kafka Streams library is “data schema agnostic” today and therefore cannot leverage many standard techniques from the query processing literature, such as predicate pushdown, there is still a large optimization room on structural topology formation for it to explore. Bill has been a software engineer for over 15 years.

Kafka 91

Kafka Coding Process Bytes 91

Monte Carlo

MAY 31, 2024

A data observability tool Monte Carlo , for example, uses AI to continuously monitor data pipelines, automatically detecting anomalies and inconsistencies. By analyzing patterns and trends in the data, AI can identify issues such as missing or duplicate data, schema changes, and unexpected data values.

Data Science 52

Data Science Data Schemas Machine Learning Datasets 52

Monte Carlo

APRIL 20, 2023

A few tips for a safe migration using data lineage: Document current data schema and lineage. This will be important for when you have to cross-reference your old data ecosystem with your new one. Analyze your current schema and lineage.

Data Warehouse 52

Data Warehouse BI Data Government 52