Trends in Database Administration

Document Type:Research Paper

Subject Area:Technology

Document 1

Hackers practice their malice to benefit from the data that will be accessed at that point of hacking. Information of every person is unique and sensitive, making the priority of data administration be data security. The scale of securing data grows up for bigger firms who need their secretive plans on production and research concealed. Matters addressed by the trends also include reliability and making access of this information fast. Trends in the market to address these issues include cloud technology, big data, and automation of databases. Firms are investing in their databases. The main goal of big data is the ability to process all types of data channelled from users. Structured, unstructured and semi-structured data need to handled comfortably by the databases.

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Big data allows companies store more information with the existing resources. The many terabytes and sometimes petabytes mounted high before going a secondary storage. With many sources, you need the database to be automated. The database administrator automates the scripts of the database to lighten their tasks. Execution of processes across all environments and development becomes standardized. We save huge amounts of time instead of launching products anew. It places the firm ahead of any competition that the market may have. ii) Application development will be taken over by DevOps workflows. Developing apps needs patience and accuracy to meet the best of the customers’ satisfaction. Machine learning tools driven by AI came in handy to help developers. From their training, they give very accuracy suggestions far better than the most experienced developer can, in a small span of time (Malliga, 2012, p.

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Accelerated cloud Adoption. In the recent past the European countries have adopted the Generic Data Protection Regulation (GDPR) which is a move to restructuring the management of data. Security worries everyone even for the most developed. This strategy enforced by governments protects identifiable data of the Europeans. The explosive approach of handling data has through features e. g. The contingencies of working good are however fair and with time, the practise will receive more light and be practised globally. Memcashed architecture is good is cashing the memory of often-accessed data. The architectural options must employ the principles of business alignment, value tracking, continual architectural improvement and standardized infrastructure. b) Big data For every IT strategist, they know that NoSQL is the talk of town.

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With the traditional relational databases, at the design stage architects intend to have to a very fast and reliable system, which could handle any type of data- whether structured, semi-structured, or non-structured. Starting with moving all the data the Big Data repository, we will have amazing scalability and performance in the databases since cluster nodes are distributed adjacent to each other. With these nodes, failure of a single node can’t stagnate data processing. Reliability is assured by redirecting the processing to other nodes. The ability to store data without creating first the structured schema ensures the database is flexible to accommodate any data. Being open source, the cost of running all processes is negligible. Customers will have a very good user-experience with all kinds of datatypes.

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The consistence models though relaxed, there is a trade-off between consistency and availability. Businesses will now have a highly reliable, flexible, secure, elastic, consistent, and cheaper system that is relevant in this era. c) Automation of Databases The technological trend of automating databases is geared at improving the overall performance of that particular system. To start with, the primary performance of a database is a function of the physical design before it was transferred to the cloud. Examples are the form-based approach for demystifying the design process and the architectural approach design (Malik et al. , 2008, p10-12). Conclusion It is true that technology is for our good if we use it properly. Innovation keeps us at the front of the industry, and it is by keeping pace with the latest technology that we can better protect data of clients.

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