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Artificial Intelligence(AI) has changed the way of thinking in human beings. The AI subset i.e. Machine Learning, Deep Learning is becoming beneficial to human society in a variety of sectors such medical, agriculture etc. In this book, the different research articles regarding Artificial Intelligence, Machine Learning and Deep learning are collaborated. Also, the book includes topics on AR/VR and Cloud Computing which are widely used and popular technologies in current industry standard. This topics insights into latest happing's in these field. The book also provides practical use of Amazon Cloud in the connect with heterogeneous databases by using Amazon models such as S3, Dynamo DB and EC2 Cloud.
The process of index creation demands highly experienced person who should have detailed knowledge of physical database designing. TIER provides help to these persons to take decision regarding index implementation. Hence, TIER should be able to recommend index for any type of inputted query. Presently, TIER takes simple queries with one level of nesting and simple join queries as input. However, user can input ¿n¿ number of queries. To strengthen TIER, it could be expanded in terms of variety of inputted queries, more types of index suggestions, runtime enabling or disabling indexes, automated interface to connect all RDBMS which participate in distributed database, etc. TIER could be enhanced to make it recommend function-based indexes. The inputted workload in TIER contains only SELECT statements. No data manipulation commands are considered in the workload. To find out CPU and IO overhead, the DML statements can also be given as inputs in TIER. The distributed tables from remote databases are accessed through Oracle Gateway service in Oracle, The heuristic which could make user access data in reverse fashion could also be developed.
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