Pickl AI

JUNE 7, 2024

Summary: Choosing the right ETL tool is crucial for seamless data integration. Top contenders like Apache Airflow and AWS Glue offer unique features, empowering businesses with efficient workflows, high data quality, and informed decision-making capabilities. Choosing the right ETL tool is crucial for smooth data management.

ETL 40

ETL Data Quality Data Pipeline Data Warehouse 40

Alation

MAY 24, 2022

This has created many different data quality tools and offerings in the market today and we’re thrilled to see the innovation. People will need high-quality data to trust information and make decisions. The Lineage & Dataflow API is a good example enabling customers to add ETL transformation logic to the lineage graph.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

phData

AUGUST 10, 2023

The implementation of a data vault architecture requires the integration of multiple technologies to effectively support the design principles and meet the organization’s requirements. Leverage dbt’s `test` macros within your models and add constraints to ensure data integrity between data vault entities.

SQL 52

SQL Data Observability Data Quality Data Pipeline 52

IBM Journey to AI blog

JULY 3, 2024

As data types and applications evolve, you might need specialized NoSQL databases to handle diverse data structures and specific application requirements. With an open data lakehouse, you can access a single copy of data wherever your data resides.

AI 45

AI AI Data Quality Database 45

phData

FEBRUARY 22, 2023

Use Metadata Driven Pipelines When Possible Standardizing ETL/ELT processes can be difficult. Create Standard Process Patterns As a team defines the various stages of data as it flows through their Snowflake environment, it is essential to document a few standard patterns. What is a Pattern?

SQL 52

SQL Data Quality Database ETL 52

The MLOps Blog

AUGUST 3, 2023

At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows. You have the function docstring because with procedural code generally in script form, there is no place to stick documentation naturally.

ML 52

ML ML Data Scientist Machine Learning 52

Pickl AI

MARCH 19, 2025

It is widely used for storing and managing structured data, making it an essential tool for data engineers. MongoDB MongoDB is a NoSQL database that stores data in flexible, JSON-like documents. Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52