
Big Data
Big data refers to an enormous volume of structured, semi-structured and unstructured data that impacts the businesses on a regular basis. A deep cognizance of effectively managing big data with appropriate analysis and insights allows the new age organizations to make strategic business decisions.
Big Data management is a macro tool with a set of technologies that allows the organizations to store analyze and manage the voluminous data in compliance with the competitive business requirements.
Being thoughtful to the complexity of big data management, we have developed a team of Data Scientists who are experts in applying processes, scientific methods and algorithms on big data from a wide range of application domains to sync with the ever changing business objectives of the organizations.

Data Pipeline
A sequence of data processing steps that involves moving the data from source (application) to destination (data warehouse) in an optimized and transformed manner where the output of each step becomes the input to the following step for better business insights is known as Data Pipeline.
The three key elements of data pipeline are a source, processing step(s) and destination. Data pipelines enable automated flow of data which allows the business to make quick and data driven decisions.
We are competent in offering robust end-to-end data pipeline solutions which include continuous complex data processing with high availability and disaster recovery.

Data Migration
In order to efficiently meeting the dynamic business needs of modern age, many organizations are replacing their legacy systems with emerging applications which is contributing towards migration of data from one location to other, one application to other and one format to other, and the whole migration process is termed as data migration.
Data Migration is generally done in three phases which include extracting data, transforming data and loading data. The types of data migration include application migration, cloud migration and storage migration.
Data Migration team at BPM Links follows a scrupulous data migration process in a step-by-step manner which include pre-migration planning, project initiation, landscape analysis, solution designing, building and testing, executing and validating and decommissioning and monitoring.

Data Mesh
Data Mesh is a modern distributed data platform that works based on distributed architecture for effective analytical data management. It ensures an optimum advantage of domain oriented self-serve design. Data Mesh supports easy access of data with minimal dependency on data lake and data warehouse.
Data Mesh enables business agility, scalability, flexibility, quick access, data accuracy, platform connectivity, data security, enhanced transparency and end-to-end compliance. Furthermore, Data Mesh minimizes operational and storage expenditures of the enterprises by moving them towards automated analytics.
We have a proficient team who are having hands on expertise in clearing data access blockages by leveraging the benefits of Data Mesh in coordination with data management and domain specific business teams.

Database Administration
The technical aspect of managing, maintaining, securing and controlling data base systems in an efficient and effective manner for the greater benefits of enterprises is known as Database Administration.
BPM Links is having an adroit team of Database Administrators who are adept in database installations, capacity planning, authorizing accesses, creating user profiles, configuring, designing, migrating, troubleshooting, administrating database migrations, creating reports and securing databases and taking back-ups in parallel and ensuring data recovery and testing the back-ups. Furthermore, our teams are smart in optimizing the performance of the database through automated and manual tools. We further extend technical support to database systems and its linked applications.

AI/ML
Algorithms and related programs that are designed to mimic the human intelligence in learning, discernment, and resolving problems are denoted as Artificial intelligence. Advancing levels of AI include reactive machines, limited memory, theory of mind and self-awareness.
The capability of an AI enabled machine to learn and develop over a period of time is known as Machine Learning. ML basically is a sub-set of limited memory level of AI. The key ML algorithms include supervised learning, unsupervised learning and reinforcement learning.
An efficient team of researchers and data scientists form a top level technical club in our organization and are meticulous in managing / delivering the AI/ML goals of our client enterprises.

Analytics
Analytics is the methodical computational analysis of data and figures with a goal of identifying, interpreting and communicating the specific patterns in the data. Analytics mainly provides insights to the organizations and help the enterprises to make informed decisions which further enhance the sales volume and optimizes the costs and resources.
Analytics promotes application of data patterns to make appropriate business decisions.
BPM Links offers a wide range of analytics solutions which support our client enterprises to make well – informed business decisions to gain better returns on investment and to optimize the resources with reduced running costs.

Visualization Dashboards
The organizations today requires to maintain a track of key data and performance indicators to evaluate their enterprise and processes on a periodic basis in order to make well informed business decisions.
Visualization Dashboard is a managerial tool that provides the visual display of key performance indicators to its users. Visualization Dashboard is easy to grasp, enables easy access of data, supports efficient reporting and enables its users to measure multiple KPIs and metrics concurrently. The key advantages of Visualization Dashboards are they are real-time oriented, customizable, practical and dynamic visuals.
We have a team of experts, who are efficient in configuring the Visualization Dashboards for the optimum benefit of our client enterprises.

MLOps
The technical aspects and procedures which augment the cooperation and communication between the data scientists and operations teams are known as MLOps.
Adoption of MLOps enables data scientists and machine learning engineers to team up and intensify the development and production, by executing continuous integration and deployment procedures with appropriate validation, governance and monitoring of ML models. MLOps enhances the quality and simplifies the management procedures and aligns the models in-sync with the business needs.
Our data scientists and operations teams are efficient in all the key phases of MLOps which include, Data gathering, Data Analysis, Data Transformation, Model Training and Development, Model Validation, Model Serving, Model Monitoring and Model Re-Training.