Nowadays, much of the intrinsic value in companies is accumulated in the form of data. From the first moment of data capture and throughout its full life cycle, the discipline of data management aims to implement a set of best practices to ensure that the data usage is made according to the highest requirements of performance, security, availability and quality.
DATA ENGINES ADMINISTRATION & OPTIMIZATION
A set of services applied to the database engine management, ensuring the best use of resources, optimizing it to the current and future needs.It covers all tasks of the database administrator (DBA).
Assuming the principle that the most possible cause for improperly overall performance and increase of data technical debt, is bad design, this set of services addresses the need for best design practices and data quality.
Assuring total commitment to the most modern data security requirements, this set of services aims to provide a set of extensive practices needed to manage the complete data life cycle.
DATA ENGINES ADMINISTRATION & OPTIMIZATION
Get access to the best knowledge and experience in the installation process of database engines to increase investment protection. Put in action the best practices in risk and health assessment of your critical database engines.
DATA ENGINE INSTALLATION & CONFIGURATION
Daily manage the allocation of resources available to the database engines ensuring they are performing at the best level and reducing the risk of downtime.
ENGINE RESOURCE MANAGEMENT
Always get the best approach for the critical activities of upgrading data engines and migrating full data bulks from engine to engine.
DATA ENGINE UPGRADE
Access the best knowledge to make a health state assessment of your data infrastructure and apply the most recent techniques including, but not limited to partitioning, parallelism, compression, to improve the performance, scalability, high availability, security and compliance of your data infrastructure.
HEALTH ASSESSMENT & OPTIMIZATION
Daily manage the updates of the database engines, ensuring they are protected from vulnerabilities and/or function at the best performance level.
DATA DESIGN & QUALITY
Ensure the use of best practices in the management of data objects in order to ensure the most demanding needs when supporting application development, streaming, loading, data consistency, performance, scalability, among other requirements.
DATA DESIGN ASSESSMENT &
Adopt a set of techniques to ensure a high level of data quality as a main priority for the whole data life cycle. Define and apply these techniques since the first moment of data generation.
Design and implement data services interfaces to enable consuming of data without exposing its design and content.
DATA INTERFACES DESIGN & IMPLEMENTATION
As part of a data quality program or just as a discipline of its own, the master data management is nowadays a requirement that any organization needs to be aware. We can guide our customers in the adoption of techniques and tools that help them to create the "backbone" of critical data structures avoiding huge costs for IT teams not only in data corruption but also in data redundancy between all layers of the infrastructure.
DATA PROTECTION & PRIVACY
Use organizational methods such as multi-tenant, server farm isolation and data firewall, to ensure the isolation between the development-to-production environments and alignment of each one with different data security requirements.
Use best methods to identify, protect and manage information. Increase the competence levels of data organization improving the access control according to data sensitivity and value.
Establish common compliance practices, allowing organizations to evolve and matures a set of daily procedures and data security processes.
DATA REGULATION ENHANCEMENT
Define and implement technology safeguards, namely encryption, to help secure data in transit between datacenters and users, as well as between datacenter and cloud providers.
Apply a whole body of knowledge to safeguarding of data in on-premise and or cloud. Apply data redundancy and fault tolerance at the level you need: data safeguarding on-premise and/or cloud, application clusters, data backup, data recovery, test recovery, full site redundancy and recovery.
DATA REDUNDANCY & DATA SERVICE REDUNDANCY
Continuous monitoring and analysis of traffic reveal anomalies and threats. Adopt firewalling, event hubs and audit tools as well as daily procedures to monitor the data health state and data environment protection.