Analytics
4 min
Apache Kafka Features – What Can & Can't Do
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November 14, 2024
Digital
Analytics
We help companies achieve excellence
We build resilient digital experience
Unleashing the power of data is what we love doing.
The process of sorting and analyzing digital data from different sources provides a clear vision to the organization helping them to develop efficient and more resilient strategies.
Data management activities involve a broad range of tasks including, ingestion of data, storing, organizing, sharing, maintaining, providing high availability, and securing them for fast recovery from any possible disaster.
In addition to collecting and keeping them, we make sure the data usage is done securely, efficiently, and cost-effectively.
We help organizations make accurate and feasible business decisions by providing secure, efficient, and reliable data management solutions.
A database is a structured collection of information or data that is stored and accessed electronically in a computer system.
A NoSQL database is a type of relational database that allows data to be stored and retrieved using methods other than tabular relations. Scalability is a strong suit of NoSQL. It is used in the context of distributed computing.
Implementation is less costly, and it provides flexibility in schema and storage for semi-structured data. NoSQL is ideal for unstructured or very large data objects such as chat logs, videos, or images.
Qualitative and quantitative data that can be used by businesses to achieve their goals are considered data of high quality.
With our professional utilization of data, we measure, assess, and generate outcomes of data and tell if they are a valuable fit for the specific business needs and how they can benefit from it.
Through data quality, we tell how reliable a particular set of data is and whether or not it will be good enough to serve the specific needs of an organization.
Data sets that are too large and too complex to be dealt with by traditional data-processing application software refer as big data.
Collecting and storing a large volume of data - both structured and unstructured - generated from myriad sources can help organizations reveal patterns, trends, and associations relating to human behavior.
By leveraging big data we help organizations increase efficiency and growth, improve customer acquisition and retention and reduce operational costs by providing a resilient and in-depth analyzing solution.
The Application Programming Interface (API) is a set of protocols, functions, and commands that enable data to be transmitted from one software product to another.
Adopting APIs earlier in the project enables enterprises to transform and collaborate with other great businesses.
Early API application leads to various benefits, including; stimulating business and technical innovation, easy integration of backend data and apps, assisting sales and marketing, extending customer reach, automating tasks, increasing revenue, etc.
Artificial intelligence as a branch of computer science is concentrated on building smart machines that are capable of performing tasks that require human intelligence.
Whereas, Machine Learning aims to develop computer systems that are able to learn and adapt by using algorithms and statistical models and be able to imitate intelligent human behavior.
Due to the specifics of each organization and their unique patterns of operation, we truly believe that only building unique AI & ML systems dedicated specifically to the organization's requirements can guarantee success.
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