![]() If you are dealing with Relational Databases, then SQL is the standard language. Application paradigms like microservices and real-time streaming Storage of structured and semi-structured data It provides flexible schemas and scales easily with bigger datasets. Key-value, wide-column, and graph are popular documents. The databases change with respective data models. Not only SQL (No SQL) is a form of non-tabular databases that store data differently than traditional data storing databases. With the help of the Tableau Server, the end-user can access files from all locations. Dashboards are created by Data Analysts or Data Engineer’s using the extracted data and are shared with users in the form of static files. Data extracted by the above process will be connected to the data engine, Tableau desktop. After the initial launch of Tableau, the ready data connectors will allow you to connect to any database. Tableau specializes in pulling data from any platform or database. Its major task is to connect and extract the data from different stored places. Tableau is a very famous and most used Data Visualization tool, and it helps in understanding the trends, insights, and patterns to other connections in Dataset. Power BI Mobiles apps: This is an app special for Windows, iOS, and Android devices. Power BI Service: An online SaaS service Power BI Desktop: As the name suggests is a Power BI application for Windows Desktop. Power BI has numerous elements that all work together, but the below three points are the basic ones. With Power BI it gets easy to connect to different data sources, visualize and understand what is vital, and share. Whether your data be an Excel spreadsheet or a collection of cloud-based and on-premises hybrid data warehouses. It uses a collection of software services, connectors, and apps to get the work done. Power BI is the perfect tool to convert unrelated sources of data into coherent, visually immersive, and interactive insights. Advanced Excel aids in data proficiency Concepts and it will help to reduce reduces working hours. Influential concepts like Data Mining of Structured (RDBMS) and Unstructured (Big Data) data, with the aid of real-life examples, are illustrated. Concepts such as Data Preparation, Data Cleansing, and Exploratory Data Analysis are explored in detail. While SQL/NoSQL is used to work with the data stored in the Database Management software, Tableau and PowerBI are used in analyzing it and presenting visual stories to end-users. The training program equips you with an apt understanding of data processing tools like Excel, SQL/NoSQL, and Data Visualization tools like Tableau and PowerBI. 360DigiTMG offers the best Data Analytics certification courses in India.
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