Big data as a Service (BDaaS)
What is Big data as a Service and how it addresses the challenges associated with Big data? What are the advantages of BDaaS? Read more..
What is Big data as a Service and how it addresses the challenges associated with Big data? What are the advantages of BDaaS? Read more..
In software development, working solo might not turn always as the best solution. This has especially become a fact in the case of a bigger project. Pair programming which is an agile development technique in many cases produces good results along with strengthening the team spirit. Read more…
It is the overgrowing competitions and trends for using AI in the applications, products, and services among the enterprises which is the reason behind its sharp growth. Furthermore, nowadays it is the term Artificial Intelligence as a Service (AIaaS) which may have prevailed in this context. Read more…
Vector databases are specialized databases optimized for storing and managing high-dimensional vector data, essential for AI and machine learning applications. They excel in performing efficient similarity searches, supporting real-time data processing, and scaling horizontally to handle large datasets, thus enhancing the performance and scalability of AI systems. Read more..
Big data technologies have become really popular with enterprises dealing with extensive data. While using Big data technologies, a considerable number of messages have to be published by the users. Hence,there arises a need for the system that can feed these messages in real time. Apache Kafka is one of the commonly adopted technologies for…
SRE is a perfect amalgamation of infrastructure automation with continuous delivery. However, SRE is ideal for cloud-native and SaaS companies. Besides, it offloads many responsibilities related to IT Ops to the development team. Though it sounds quite similar to DevOps, SRE is quite different from DevOps. Read more..
To better comprehend Big data, knowledge of data science and data analytics has become an integral part of it. Thus it often creates confusion when we come to the difference between data science vs. data analytics vs. big data. Read more..