Data Observability, Data Warehouse and Hadoop

Build Data Pipelines: Comprehensive Step-by-Step Guide

Pickl AI

JULY 8, 2024

NoSQL Databases: Flexible, scalable solutions for unstructured or semi-structured data. Data Warehouses : Centralised repositories optimised for analytics and reporting. Data Lakes : Scalable storage for raw and processed data, supporting diverse data types.

Data Pipeline

Data Pipeline Data Quality Database Apache Kafka

Top ETL Tools: Unveiling the Best Solutions for Data Integration

Pickl AI

JUNE 7, 2024

Also Read: Top 10 Data Science tools for 2024. It is a process for moving and managing data from various sources to a central data warehouse. This process ensures that data is accurate, consistent, and usable for analysis and reporting. This process helps organisations manage large volumes of data efficiently.

ETL

ETL Data Quality Data Pipeline Hadoop

Data Quality Framework: What It Is, Components, and Implementation

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

Data Quality Data Governance Machine Learning Machine Learning

Data Science Current

Build Data Pipelines: Comprehensive Step-by-Step Guide

Top ETL Tools: Unveiling the Best Solutions for Data Integration

Data Quality Framework: What It Is, Components, and Implementation

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