A Transaction Processing System (TPS) is an automated system that facilitates communication, management, and security of operational data in a business setting. It is designed to handle high volumes of transactions and provides efficient storage and retrieval of transactional data. TPS is crucial for businesses as it ensures the smooth and reliable processing of transactions, ...
In today’s rapidly evolving digital landscape, data has become the lifeblood of businesses. However, traditional data processing approaches such as batch processing and ingestion have their limitations when it comes to handling large volumes of data and providing real-time insights. This is where data streaming technologies come into play. Data streaming technologies enable the transformation, ...
Data analytics is a vital process in today’s big data era, allowing organizations to gain insights and make informed decisions. One crucial aspect of data analytics is the processing of massive amounts of data, which involves the integration and transformation of data from multiple sources. Here, the concept of Schema on Read plays a significant ...
In the world of data compression and natural language processing (NLP), a Statistical Language Model (SLM) plays a vital role. It is an algorithmic approach that aims to capture the statistical patterns and structures present in a sequence of words or tokens. Additionally, a widely used technique in SLM is the Sequence Prediction Model (SPM), ...
In today’s digital age, data has become one of the most valuable resources for businesses across various industries. With the ever-increasing volumes of data being generated, organizations need efficient ways to store, process, and analyze this data to gain valuable insights and make informed business decisions. This is where big data platforms come into play. ...
