Ml AI Chat Boat Quick Sight Digital Engineering Schema Registry
Sage Maker Data Bricks Spark Delta Lake Data Lake Note Books
Scalable Web Applications 99.99% uptime Product Engineering Mobile Applications Highly Available Analytics
AWS Kafka ETL Data Ware House RDS Containers Kubernetes EKS Docker Big Data Streaming Data Analytics Digital Branding
Cloud Technologies Meta Data Smart Dashboard REal Time Metrics Performance Metrics
Since 2010
We are skilled in identifying opportunities and developing business specific strategies to revolutionize the way you do business.
We start with helping you in gathering information from data scrapes, web servers, Logs, Databases, API’s and online repositories. Basically, finding the right data is the first step
Data Cleaning is where we deal with inconsistent data types, values and attributes and in Data Transformation, modifies the data based on defined mapping rules.
Exploratory Data Analysis helps to understand what can we do with the data. This defines and refines the selection of feature variables that will be used in the model development
We set the model that best fits the business requirement and trains the models on the training data set and test to select the best performing model (using Python, R and SAS)
Visualisation and Communication, provides you with the business insights in simple and effective manner
A well crafted DevOps practice, fine tuned, tested and proven in our decade long association with AWS brings you the following benefits.
We move at high velocity so we can innovate for customers faster, adapt to changing markets better, and grow more efficient at driving business results. The DevOps model enables us to achieve these results.
Increases the frequency and pace of releases so we can innovate and improve products faster. The quicker we release new features and fix bugs, the faster we can respond to our customers’ needs and build competitive advantage. Continuous integration and continuous delivery are practices that automate the software release process, from build to deploy.
We ensure the quality of application updates and infrastructure changes so we can reliably deliver at a more rapid pace while maintaining a positive experience for end users. We use practices like continuous integration and continuous delivery to test that each change is functional and safe. Monitoring and logging practices helps us stay informed of performance in real-time.
We operate and manage our infrastructure and development processes at scale. Automation and consistency help us manage complex or changing systems efficiently and with reduced risk. For example, infrastructure as code helps us manage our development, testing, and production environments in a repeatable and more efficient manner.
We have effective teams under DevOps cultural model, which emphasizes values such as ownership and accountability. Developers and operations teams collaborate closely, share many responsibilities, and combine their workflows. This reduces inefficiencies and saves time (e.g. reduced handover periods between developers and operations, writing code that takes into account the environment in which it is run).
We move quickly while retaining control and preserving compliance. We adopt a DevOps model without sacrificing security by using automated compliance policies, fine-grained controls, and configuration management techniques. For example, using infrastructure as code and policy as code, you can define and then track compliance at scale.
We deliver secure, scalable, high performing and cost efficient cloud computing solutions.
We ensure high availability using geographically dispersed regions/data canters thus, making web applications that are dependable enough to operate continuously without failing.
We design the applications to tackle failure so that nothing fails in production. This approach assumes that there will be a hardware or system failure somewhere, sometime and we design applications so that recovery can be performed quickly
Loosely couple the components to maximize plug and play giving the flexibility to uncouple, integrate and run web application.
Build security into every component thus providing control and confidence you need to securely run your business with the most flexible and secure cloud consulting environment
Implement elasticity and automate dynamic provisioning of instances dynamically increase or decrease the resources as needed.
We track the dynamic cloud infrastructure using monitoring & alerting tools and proprietary tracking metrics, to measure resources and web applications developed and hosted with us.
The unified data analytics platform for massive scale data engineering and collaborative sciences. Benefit from our expertise on the platform and its various components.
When it comes to starting your data journey, our experience in setting up large scale data ingestion processes, data pipelines , data lake and visualisation ensures rapid success with your new data initiative.
Delta Lakes brings reliability, performance and life cycle management to data lakes and you can benefit from our expertise in managing huge data data lakes with the Delta Lake storage engines. Accelerate all your workloads on your data lake with Delta Engine, a new query engine designed for speed and flexibility.
We have experience setting up the Databricks Runtime for high performing Spark jobs, configuring the notebooks and to manage production environments without compromising on security with better administrative control.
Now it's easy to combine the capabilities of data lakes and data warehouses together, enabling BI and ML on all data offering cost effective data management and better data life cycle.
