The explosive growth and ever-increasing variety of data volumes are changing the industry permanently and forcing companies to restructure their data warehouses. Access to immense data in real time is essential, but the conversion is often associated with high investment costs.
cimt is a project partner with many years of enterprise experience in a wide range of industries. As an expert for Big Data solutions, data volumes ranging from terabytes to petabytes are part of our daily business. Open source technologies, such as Talend, offer maximum efficiency and our proven cimt job framework a robust data warehouse architecture.
This is how we work
Development of overarching basic concepts regarding modelling and ETL implementation
Einbringung Best Practices (cimt Job Framework)
Project management with reference to Scrum
Adaptation of Talend components to in-house special cases (Teradata)
Use of Big Data components (Spark, Hive etc.) in conjunction with classic DWH approaches (BigData-Link)
Implementation, test and QA of ETL jobs
Introduction to the operation
Our services at a glance
Recording/analysis of the environments
Achitectural design
Overall responsibility for conceptual design, realisation, coaching, project management
Introduction, training and coaching of customer employees / Agile procedures in data warehouse development
Five benefits of a successful restructuring of your DWH:
1
Avoiding cost explosions
through the use of open source-based technologies
2
Increasing the speed
and flexible design of data provision
3
Fast and uncomplicated connection
new data sources
4
Increase scalability and build a base
for Big Data processing through redesign with robust architecture
