Services & Techniques
Real-time
Big Data Analytics
Data Integration
Data Architecture and Strategy
Data migration & ingestion
Data Streaming
Real-time data streaming has become prominent in the field of big data analytics, and so are real-time data streaming tools.
Streaming data is the continuous flow of data generated by various sources. By using stream processing technologies, data streams can be processed, stored, analyzed, and acted upon as they are generated in real-time.
Data Strategy
Fundamental component of an effective data platform. Data strategy refers to the tools, processes, and rules that define how to manage, analyze, and act upon business data. According to Anthony Algmin, Data Strategy, at its core, should work toward maximizing business impacts by aligning with Business Strategy. Simultaneously, the Business Strategy needs to work from the premise that data is an important tool for reaching desired outcomes. “It’s really about asking, ‘How can we use data to drive better business?’”
Data Architecture
Data Architecture focuses on building the infrastructure to create those business impacts identified in the Data Strategy. It is the ‘how” when implementing data strategies. The goal of data architecture is to translate business needs into data and system requirements and to manage data and its flow through the enterprise. As more organizations are adopting cloud computing and cloud analytics, their data strategy is shifting. They are looking to modernize their data architecture as a foundation for a successful digital transformation.
- Migration & Ingestion
- Data Integration
- Data Mesh
Think “Data as a product”. Data Mesh is an approach rather than a technology or tool. A proper data mesh is a mindset, an organizational model, and an enterprise data architecture approach with supporting tools. A data mesh solution should have some mix of domain ownership, data as a product, self-serve data platform, and federated governance. Based on modern, distributed architecture for analytical management, it enables end users to easily access and query data where it lives without first transporting it to a data lake or data warehouse. But truth be told, Data Mesh is not meant for everyone.
