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.

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.

A stream processing framework for distributed, high-throughput, and low-latency data applications. Enables complex event processing and real-time analytics across both batch and streaming data.

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

A senior-level role focusing on designing and managing the architecture of data systems. Responsible for leading data engineering teams and ensuring data solutions meet business needs.

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.

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.