Remove Big Data Remove Data Observability Remove Hadoop
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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

It is ideal for handling unstructured or semi-structured data, making it perfect for modern applications that require scalability and fast access. Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data. The global Big Data and data engineering market, valued at $75.55

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Top ETL Tools: Unveiling the Best Solutions for Data Integration

Pickl AI

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

DagsHub

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.