Enable DataOps and automate the Data flow.
We help organisations to shift from the slow and bureaucratic strategies of traditional Data Management towards the collaborative, streamlined, and quality-driven agile/lean strategies that focus on enabling others rather than controlling them.
DataOps is a relatively new methodology that unifies data engineering, data analytics, and DevOps to deliver high-quality data products as rapidly as possible. It covers the entire data analytics lifecycle, from data extraction to visualization, reporting, and AI/ML insights or scoring, using Agile practices to speed up business results.
Different teams conduct different stages of the data factory pipeline. However, all individuals involved should share knowledge, learn from each other, and document how they achieve success.
Data ingestion is the first stage of the process. Data, extracted from various sources, is explored, validated, and loaded into a downstream system.
This stage consists represents a set of tools and activities for moving data from one system with its method of data storage and processing to another system in which it can be stored and managed differently. Moreover, data ingestion pipelines allow for automatically getting information from many disparate sources, then transforming and consolidating it in one high-performing data storage.
At the stage of Data transformation Data is cleansed and enriched. Initial data models are designed to meet business needs.
Data transformation includes all operations to cleanse, conform, shape, transform, and catalog the data assets and streams; making the data ready-to-consume for ML and store it in a Data Warehouse.
The Computation stage is where analytics, data science, and machine learning happen. Computation can be a combination of batch and stream processing. Models and insights (both structured data and streams) are stored back in the Data Warehouse.
Data insights are represented in the form of reports or interactive dashboards.
The insights from advanced analytics (predictive & prescriptive) are delivered through dashboards, emails, SMSs, push notifications, and microservices. The ML model inferences are exposed as microservices.
The strategy and efforts you put into the process are irrelevant if you don't have the right culture. You must embrace the 5 ideals in order to achieve successful transformation.
IBS is an IT Consulting, Systems Integrator and Software Development company founded in Bulgaria. We are servicing the best businesses and government agencies since 2003. Our belief is that digital data and technologies are changing the ways we live and work and we are proud to lead this transformation for our customers.