With the invention of Big Data, a revolution spread in the early 2000s. A famous analyst once quoted, “Big Data is a mix of three V’s – Volume, Velocity, and Variety.” Any business is impossible to escape its impact, and it is better to imbibe it for better credibility of the company. The big data observes the customer needs and pattern of buying for smart analytics. Therefore, Big Data is a technical term for consumer wants and purchase patterns.

Advantages of Big Data Applications

The use of big data is only possible by integrating it with suitable applications. Learn more about these latest applications by checking RemoteDBA.com.

• Understanding the customers shopping pattern
• Bespoke marketing tactics
• Optimization of tools for the transportation industry
• A routine check of health conditions from wearables
• Live road mapping system for automobiles
• Warehouse management for inventory control
• Personalized health care coverage by insurance companies
• Medical plans for terminally ill patients
• Real-time scrutiny and cybersecurity procedures

Real-time examples of smart analytics 

• Amazon – Observation of the buying pattern of any registered user helps in tweaking the database. It ensures a better and faster customer experience every time. There are other ways also for the collection and dissemination of huge data for system analytics. The last browed items, frequently viewed items, setting changed in the filter and analysis of the purchasing power every month – everything is under the radar of Amazon. 

• Palantir Technologies – The Palantir supports the American Military Agencies to detect roadside bomb locations and slash the insurgencies. This is one of the highest security systems, controlled by two platforms. The government agencies store all the data in one single document. It enables collaboration of all types of data which makes the analysis and handling exceptionally smooth. Many private sectors also use this to work for defense and security systems.

2021 major Database applications 

1. MySQL – One of the notably useful database management tools which are now synonym to any data application. Some of the major companies – Google, YouTube, PayPal, and Twitter, use this. MySQL is quite simple to use as it is an open-source relational database. You will have to target learning MySQL to cater to all your smart business solutions.

2. SQL Server – Any mention of the database management tool list is incomplete without SQL. SQL Server Management Studio (SSMS) is amazingly simple for non-developers and database administrators of all skill levels. It is a perfect amalgamation of end-user-friendly graphical tools with a wide range of script editors. You will get total access to the management server. It is a one-stop solution to any business profile and tunes database performance. 

3. Oracle RDBMS – The number.1 database management software is object-relational based. Oracle RDBMS released its latest version of this tool. You can use it to incorporate cloud computing and other supports of operating systems – Windows, Unix, and Linux versions. It is a very credible tool and is popular because it helps in using more extensive databases, provides a secured platform, barely occupies system space, and diminishes the processing time of data. 

4. Zoho Analytics – The primary focus of this data tool is ease of use. It is a self-service tool, and therefore, you would not require any particular IT skill or additional expertise to use it. There are two features; an intuitive drag/drop interface and the classic spreadsheet-style interface. This application is perfect for smaller companies that require local storage space with built-in customized applications. Once the datastores, simple analysis will reflect the results as charts, dashboards, tabular columns, and Key Performance Indicator (KPI) visualizations. 

5. SAS Visual Analytics – Statistical Analysis System (SAS) is one of the oldest data handling tools. It came into the picture even before Big Data came into use. Although it is one of the pioneers in data handling, its primary purpose is to collect, alter, manage, share and retrieve data from different sources. After the data storage is complete, a statistical analysis represents an assortment of graphs, statistics, and details of data to other files. 

6. SAP Vora – The collaboration of SAP HANA with HANA Vora is the famous SAP application for data handling. The Vora tool integrates Hadoop and HANA sources. This then extends to the Apache Spark implementation framework for generating analytics and Hadoop data. HANA is instrumental in supporting the large interfaces as it leverages the mammoth data stores. It can run on a cluster of commodity hardware computer nodes. SAP Vora is a distributed database system for processing big data. It can scale up to any size to match the computer cluster. 

7. DevOps – This is one of the most practical database management frameworks. DevOps is a durable processor and is famous for the removal of hindrances like manual reviews and ticketing. This is a completely automated tool that enables improved software delivery and credibility. The best feature is that it controls employee burnouts by enhancing productivity.

8. Visual Studio Code – This is a basic code editor for redefining and optimization creating and debugging contemporary web-based and cloud applications. This is very user-friendly as it supports Windows user and system-level setups. The main features include viz. debugging, syntax highlighter, snippets, code refactoring, intelligent code completion, and embedded Git. You have the liberty of altering the themes, keyboard shortcuts, tool preferences and install extensions for customized functionalities.

9. ESM Tools – Database management is just one part of big data. ESM is beyond the DBS and offers additional functionalities like the workflow of data, complete reporting, and automation of the process. You do not require any additional know-how of this application as there are many low-code and no-code frameworks to work on. You can use this tool very efficiently without any coding or background development knowledge.

10. PhpMyAdmin – A fundamental tool for non-techies to manage database management systems. Whether it is large company data or just for start-ups, PhpMyAdmin suits all. 

For larger organizations and handling enormous data, enterprise solutions are the best. It is an automated tool that removes the manual redundancy of managing the database.