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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Building the KPay payment system.

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Who is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills

Altexsoft

One of the most common ways how enterprises leverage data is business intelligence (BI), a set of practices and technologies that allow for transforming raw data into actionable information. Data warehouse architecture. Provide system architecture for each element and the whole data pipeline. Data modeling.

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The Case for PostgreSQL®

Instaclustr

In the modern world of electronic everything, enterprise organizations are beginning to understand that data is the lifeblood of organization management. This refers to the advanced storage and interpretation features of PostgreSQL such as JSON and XML support, alternative storage engines, replication models, and enterprise management tools.

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Grown-Up Lean

LeanEssays

It took some years to evolve to a software architecture that supported such teams, but eventually small, independent services owned by two-pizza teams made up the core of Amazon’s infrastructure. Initially this created havoc in operations, which was responsible for any problems that surfaced once code ‘went live’.