Big Data

LoopBrackets addresses all your Big Data concerns by providing robust consultation services with respect to Data management, visualization, warehousing, and analytics integration. Our detailed reports, planned strategies, metadata, and efficient implementation result in a tailored strategy that takes your business to the next level.

LoopBrackets team houses experts that have mastered the art of data manipulation and management providing you with tailored data governance strategies, migration techniques, and security threat assessment. We develop rules and policies that are perfectly suited to manage master and metadata with respect to your specific industry and business.

Our expert analysts provide customers with detailed reports, custom dashboards, and metrics that take the pressure out of data analysis. Keeping track of your company’s and even individual performances has never been easier.

LoopBrackets services are tailored to make the raw data and the environment ready, as well as strengthen the business with advanced analytics capabilities. In data analytics and data science, we have been satisfying companies’ diverse analytical needs (including the need for advanced analytics), which makes us fully understand the transformation you’re undergoing.

Are you planning to implement a big data solution or completely revamp the existing one? Or, do you want to manage your business intelligence and leverage insights for business decisions, reach out to us and we will get back to you with a solid business plan.

Related Work

Related Technologies

Python

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics.Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Since there is no compilation step, the edit-test-debug cycle is incredibly fast.

Django

Django is a high-level Python web framework that enables rapid development of secure and maintainable websites. Django helps developers avoid many common security mistakes by providing a framework that has been engineered to "do the right things" to protect the website automatically.

Flask

Flask is a micro web framework written in Python. It is classified as a microframework because it does not require particular tools or libraries. It has no database abstraction layer, form validation, or any other components where pre-existing third-party libraries provide common functions

PyTorch

PyTorch is an open source machine learning library based on the Torch library, used for applications such as computer vision and natural language processing, primarily developed by Facebook's AI Research lab (FAIR). It is free and open-source software released under the Modified BSD license.

Tensorflow

TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks. Tensorflow is a symbolic math library based on dataflow and differentiable programming.

Keras

Keras is an open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. Designed to enable fast experimentation with deep neural networks, it focuses on being user-friendly, modular, and extensible.

Pandas

pandas is a Python package providing fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python