Pickl AI

JUNE 7, 2024

Oracle Data Integrator Oracle Data Integrator (ODI) is designed for building, deploying, and managing data warehouses. Key Features Out-of-the-Box Connectors: Includes connectors for databases like Hadoop, CRM systems, XML, JSON, and more. Read More: Advanced SQL Tips and Tricks for Data Analysts.

ETL 40

ETL Data Warehouse Data Quality Data Pipeline 40

DagsHub

AUGUST 23, 2024

Datafold is a tool focused on data observability and quality. It is particularly popular among data engineers as it integrates well with modern data pipelines (e.g., Source: [link] Monte Carlo is a code-free data observability platform that focuses on data reliability across data pipelines.

Data Quality 52

Data Quality Data Governance Machine Learning Machine Learning 52

Pickl AI

JULY 8, 2024

Robust validation and monitoring frameworks enhance pipeline reliability and trustworthiness, safeguarding against data-driven decision-making risks. Must Read Blogs: Elevate Your Data Quality: Unleashing the Power of AI and ML for Scaling Operations. The Difference Between Data Observability And Data Quality.

Data Pipeline 52

Data Pipeline Data Quality Database Apache Kafka 52

Pickl AI

MARCH 19, 2025

It helps organisations understand their data better and make informed decisions. Apache Hive Apache Hive is a data warehouse tool that allows users to query and analyse large datasets stored in Hadoop. It simplifies data processing by providing an SQL-like interface for querying Big Data.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52