Data Analysis Job Market Trends

A data architecture combining features of data lakes and data warehouses to support both analytical and transactional workloads. Allows for efficient multi-modal data processing and storage with unified governance.

AI Analysts leverage artificial intelligence tools to dissect complex data sets, offering insights that drive strategic business decisions and operational improvements.

An open-source columnar database management system designed for online analytical processing (OLAP) and real-time analytics.

An open-source platform for monitoring and observability, providing tools for visualizing and analyzing data from various sources.

Focused on the seamless transfer of data between different storage types and formats, Data Migration is crucial for maintaining data integrity and ensuring minimal operational downtime.

The practice of using data visualization and narrative techniques to effectively communicate insights from data analysis. Aimed at making complex data more accessible and understandable to a wider audience.

An open-source analytics engineering tool used to transform raw data into structured data models for analysis. It simplifies the process of data transformation and modeling by allowing users to write transformations in SQL.

A managed service for processing large datasets, enabling efficient, fast analytics over vast data volumes. It simplifies running Apache Hadoop and Spark ecosystems in the cloud.

A query language for APIs and a runtime for executing those queries, enabling clients to request exactly the data they need from a server.