Data Engineering & Analytics
D&A are indispensable components in today’s data-driven landscape, intricately intertwined to unlock the full potential of information. Data engineering lays the groundwork, encompassing the processes of collecting, storing, and preparing data for analysis. It involves designing and implementing robust architectures, pipelines, and frameworks to ensure data quality, reliability, and accessibility. While, Analytics delves into the exploration and interpretation of data, extracting valuable insights to inform strategic decisions and drive business outcome.
Datiqs offers comprehensive end-to-end solutions from data ingestion and modeling to operationalization and visualization.
Data Pipeline
At Datiqs, we specialise in building state-of-the-art data pipelines by combining your various source systems with central data lakes or warehouses. We can help you build custom solutions based on your business or technical requirements.
Data Lake
Datiqs helps companies build a centralized repository that allows your organization to store all the structured and unstructured data at any scale.
Data Warehouse
A data warehouse is a centralized repository that stores structured, organized, and curated data from one or more sources. We can help you design your data warehouse based on your requirements and business case.
BI & Reporting
Business Intelligence (BI) reporting refers to the process of extracting, transforming, and presenting data from various sources in a format that is easy to understand and actionable for decision-making purposes. We specialize in building custom stae-of-the-art reporting solutions designed for your business needs.
MLOps
MLOps, short for Machine Learning Operations, is a set of practices and principles that aim to streamline and operationalize the lifecycle of machine learning (ML) models. Datiqs can help you build, automate and scale your MLOps pipelines.