Big data analytics has revolutionized nearly every sector of the economy. It has been extensively used to advance the goals and objectives of companies and businesses all around the world. Most robust research and consulting firms worldwide swear by how big of an impact big data analytics has on their company’s future. Naturally, there are dedicated teams designated to work in this industry.
NoSQL, originally termed a non-SQL or nonrelational, is defined as a database providing the necessary mechanism for the safe storage and retrieval of data. It was modeled differently than the tabular relations required in relational databases. These databases have been known to exist since the late 1960s, but the requirement of Web 2.0 triggered the coinage of the term “NoSQL” in the early 21st century.
It effectively handles large data sets because of its comprehensive and massive variety of technologies and architecture. NoSQL is primarily used to help brands resolve issues related to scalability and performance. These Big Data-related issues exclusively require NoSQL because relational databases cannot address them in a foolproof and effective manner.
This is because big brands possess large amounts of raw data that is unstructured and are stored in numerous cloud servers. Due to the data sizes being massive, proper technology is required for the effective handling of the overwhelming amount of data seamlessly and effectively.
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How to choose the suitable NoSQL format?
There are four different NoSQL database formats:
- Document databases: These databases are used to store data in documents akin to JSON (JavaScript Object Notation) objects. Each document comprises pairs of values and fields. These values can come in numerous types, including numbers, strings, arrays, booleans, or objects.
- Key-value databases: These databases are much more simple. In this type of database, each item consists of values and keys.
- Wide-column stores: These values store data in rows, tables, and dynamic columns.
- Graph databases: These databases store data in edges and nodes that typically store various information about individuals, locations, and objects, while the edges store information about the link between the nodes.
Choosing the correct NoSQL format might seem like a challenging feat. For brands that choose either of the above four formats, there are a few guidelines to be strictly followed. However, over the years, it has been quite common for companies to prefer the key-value database as a much more feasible option. The key-value database is extremely useful and ideal for storing user profiles, online details such as shopping cart information and preferences of the consumer, and session information.
However, brands that need to handle queries related to data and find the connection between the data concerned should not use this database system. In such instances, the ideal database to choose would be the document database. Companies use this database to manage content management systems, web analytics, blogging platforms, e-commerce platforms, and real-time analytics.
Importance of NoSQL Database Knowledge
With the rapidly increasing importance of data, data storage has become one of significant importance as well. The implementation of NoSQL has led to a rapid decrease in storage costs and practical storage of all types of data regardless of their shape and size. NoSQL plays a vital role in defining the structured, semi-structured, and polymorphic schema with ease.
These databases are popular amongst developers because of their flexibility in storing large amounts of unstructured data. However, one of the most significant aspects of big data and knowledge regarding NoSQL is that it is designed to give professionals proper aid to boost their career and take it to a higher level. NoSQL database knowledge is, therefore, a beneficial skill for any data analyst to have.
Here’s why NoSQL Database knowledge is essential:
- Productivity: Productivity is a core skill for data analysts who must handle large amounts of data daily. Knowledge about this database is bound to give you the skill set to help improve the productivity of data analysts.
- Performance: NoSQL database is known to elevate the performance of data. It can easily combine large datasets, reduce latency, and contribute to the overall improvement of the entire output.
- Meet demands: It is a well-established fact that NoSQL specialists are in high demand. A solid level of NoSQL database knowledge skills is bound to put anybody high on the recommendation list of candidates in the job market. This increased demand has made a significant impact on the salaries of these candidates seeking this job position. Therefore, it has been deemed one of the most lucrative job positions in almost all major companies. Thus, in the IT sector, the role of a NoSQL specialist is rapidly growing.
With the surplus data present today, professionals possessing the required skill set to manage NoSQL are in high demand globally. This should be one of the driving reasons for professionals to upgrade their skills.
Major Careers Requiring NoSQL Database Skills
Many businesses and industrial sectors require capable professionals who can effectively deal with large volumes of data. Hence, NoSQL skills are worth acquiring for tech aspirants. Here are a few roles where NoSQL skills are required:-
- Database Administrator: A database administrator is possibly one of the best job positions requiring NoSQL skills. They are highly qualified, and their main role involves utilizing highly technical and specialized software for storing and organizing data comprehensively. They are responsible for important data-related tasks like capacity planning, configuration, installation, performance monitoring, migration, data recovery, and backup. An expert database administrator must be flexible enough to work with numerous database platforms such as MongoDB, Oracle, Cassandra, etc.
- Data Architect: Data Architects must have in-depth knowledge about this database, its types, and techniques. One of the major responsibilities of Data Architects is to create data models, data warehouses, analysis of data, data migration, etc.
- Software/Application Developer: The job position of a software or application developer is a high-profile job that demands NoSQL skills. They create mobile applications such as games and word processing programs. Programming skills are mandatory for this role.
- Data Scientist: This is undoubtedly one of the most common yet lucrative jobs in the big data industry. Big data scientists must possess a variety of data-driven skills, including NoSQL database handling skills. The field of data science uses theories and techniques drawn from various fields, such as mathematics, statistics, data mining, pattern recognition, etc.
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Conclusion
Needless to say, NoSQL is an essential part of data science. Investing in NoSQL skills is a great way to take your career to the next level in the big data industry. If you are looking to enroll in a reliable course on the Advanced Certificate Programme in Big Data, then look no further. upGrad has the best course you will come across. You will learn top professional skills like Data Processing with PySpark, Data Warehousing, MapReduce, Big Data Processing on the Cloud, Real-time Processing, and the like.
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