Cloud data platforms
By combining our specialist architecture, design and build capabilities with best in class cloud data platforms, we make it easier and more affordable for businesses to establish the data foundations and operational models that underpin the data driven enterprise.
WHAT SETS US APART
Need help migrating your legacy data warehouse to the cloud or re-architecting and building out your cloud data platform 2.0?
With information coming in rapidly from a range of sources, businesses need to know how to acquire, ingest and transform new and existing data sources to support better decision making and performance.
That’s where InfoCentric comes in.
Our experienced architects, engineers and platform experts work with a variety of vendor solutions to implement the technology you need to integrate, manage and understand your data.
DATA ENGINEERING AND INTEGRATION SERVICES
Through our data driven configurable frameworks, we can help you transform fragmented data silos efficiently. Our capabilities include:
- Aggregating data from a variety of sources (applications, XML, mainframe, flat files, social media, Hadoop)
- Customising adapters and connectors to rare data formats
- Consolidating a diverse range of data types (structured, unstructured, semi-structured, real-time)
- Normalising, profiling and cleansing data
Design Services
A key consideration for designing the data management framework is deciding how much configuration and automation is required, as this drives scale, cost and complexity. InfoCentric has considerable experience working with clients across many industries to analyse and design the required solution and technical architecture.
Key considerations are often:
- How many pipelines do you need to establish and manage?
- What level of current complexity exists?
- How many patterns do we need to cater for extracting, acquiring and ingesting data?
- The number and type of data sources?
- How much transformation is required for data sources?
- What do the consumption use cases look like? (e.g. operational reporting? Self Service? Real time reporting?)
Data Management Frameworks
InfoCentric Data Management Frameworks are our proven and unique approach to componentise our solutions into various frameworks to give customers configuration flexibility and ease of maintenance.
The frameworks are configurable (i.e. data driven) to simplify the addition of new data sources that fit a known pattern. The frameworks also allow customers to de-couple the various solution layers so that a change in one layer won’t impact others. This ultimately reduces the ongoing cost of maintaining and evolving your transformations, and provides a more efficient and supportable approach to your data management frameworks.
The frameworks include:
- Extract and Acquisition Framework – extracting data from source systems using a “pull pattern” and putting the extracted data into an landing area.
- Ingestion Framework – getting data into the cloud data platform.
- Transformation Framework – ensuring the development of standardised, reusable transformation processes (code) via templates and/or generated code, supported by automated testing procedures.
- Process Control Framework – orchestration of processes across the solution.
OUR KEY TECHNOLOGY CAPABILITIES
Our technology capabilities span many leading vendors solutions including:
- Oracle
- Teradata
- Informatica
- Amazon AWS
- Microsoft Azure
- Google Cloud
- Snowflake
- Databricks
- Hadoop
- DBT
- Tableau
- Datastage
- Cognos
- SAS
- Microstrategy
BENEFITS
With our cloud data platform experts, your business will benefit from:
- Fast access to greater volumes and types of data
- Reliable and trustworthy data
- Engineering excellence to support future data sources
- Reduced risk of data integrity issues
- Support for advanced analytics and machine learning use cases