The data-driven aspect of business today and the impact data has on the decision-making process accompanies with itself the need for automation since the cost and time incurred on manually processing data over and over is an obstacle to growth and productivity. To accomplish seamless performance and get results with automation using data pipelines, the backend services used for storing and processing the data should align with their goals, making the need to optimize the backend (database/ETL) architecture design, a priority for the enterprise. Ganit helps the client to unlock the latent opportunities by providing them with efficient solutions to their specific business problems.
Ganit can help you maximize your decision velocity and minimize the decision risk through our extensive experience in providing cutting-edge solutions to our clients.
We have helped various clients to modernize their existing database and analytics architecture by migrating them to a more efficient, scalable, and cost-effective AWS-based architecture. Our key focus is ensuring maximum efficiency at each step from data ingestion to deriving valuable insights from the data through analytics.
AWS RDS (Aurora) has been our first choice for migrating on-premise databases to the cloud and we have made several solutions utilizing the same. The primary reason for giving preference to this service is because Aurora PostgreSQL uses a high-performance storage subsystem customized to take advantage of fast distributed storage and improves upon PostgreSQL for massive throughput and highly concurrent workloads. The combination of PostgreSQL compatibility with Aurora enterprise database capabilities, seamless integration with various analytical tools and minimal manual input requirements, provides an ideal target for commercial database migrations. Besides AWS Aurora DB, all the cloud architecture along with all the necessary integrations are created as per the client’s requirements.
At Ganit while we do strive to achieve operational and performance efficiency for our clients, delivering tangible results to the clients through consistent effort remains our priority. We have helped a major retail chain company to cut costs by saving around 100,000+ man-hours on a yearly basis, purely because of the simplistic and efficient RDS-based architecture we created for them and are still continuously updating the same with evolving client requirements. The aforementioned architecture not only provides them with new possible opportunities but provides them the flexibility to take risks by eliminating some of the uncertainty associated with the decision-making process.