- info@tensaidata.com
At TensaiData,we provide comprehensive assistance to our clients with top-notch data engineering services, aiming to ensure a thorough comprehension of their data-related challenges. Our Expert Team specializes in designing, maintaining, and optimizing data infrastructure for seamless data collection, efficient management, transformation, and streamlined access.
We excel in designing and constructing pipelines tailored to collect data and transform raw information into usable formats, aligning precisely with specific consumption requests
We collaborate closely to grasp your core business goals, challenges, and aspirations. Simultaneously, we assess your technical landscape to identify the exact tools and frameworks needed for your data ecosystem.
At this stage, it is crucial to review existing data sources to optimize data value. It is imperative to identify numerous data sources capable of providing structured and unstructured data
Data Lakes offer cost-effective storage for raw and processed structured/unstructured data. They house various file types (raw, transformed) and are accessed via tools like Hadoop, S3, GCS, or Azure Data Lake, usable on-premises or in the cloud
Following the selection of data sources and storage, the next step involves initiating the development of data processing tasks. These tasks are pivotal within the data pipeline as they transform raw data into actionable insights and create cohesive data models
In data development consulting, the critical step of DevOps involves crafting a tailored strategy for deploying and automating the data pipeline. This efficient strategy saves time, streamlines management, and ensures seamless deployment
Testing, measuring, and learning are crucial during the final stage of the Data Engineering Consulting Process. At this stage, DevOps automation becomes indispensable