• Harnil Oza
• October 18, 2021
• Data Mining

Social networks not only offer companies a platform to communicate with stakeholders, but above all a huge reservoir of data - big social data. These can be collected, summarized and evaluated using suitable methods and procedures, so-called social media analytics. From this, companies gain knowledge about the preferences, interests and needs of their target groups. The development is still in its infancy, but various ar

• Harnil Oza
• January 07, 2021
• Data Mining

Every business goes through the data migration process at some or other point due to multiple reasons. The main idea behind data migration is a change in the storage space; it can be shifting from one server to another, or from one database to another, or moving data from one operating system to another. The businesses follow the basic process that includes 3 basic steps, (ETL) Extract/Transf

• Harnil Oza
• December 19, 2020
• Data Mining

Data Mining is one of the most all-rounder techniques that has received a good response in private, public, and healthcare organizations. It is primarily used for interpreting big data & analytics for streamlining the workflow at hospitals by helping doctors & nurses cater to their patients much better. Data mining() can benefit surgeons to evaluate significant volumes of datasets &am

• Harnil Oza
• October 01, 2020
• Data Mining

Today, most businesses are driven by big data, and big data is unstoppable. Speaking of which, data integration and data migration need to be deep-rooted. The process must be smooth, whether data is moving from inputs to a data lake, from a data warehouse to a data mart, from one repository to another, or something else. With an effective data migration strategy, the organization can run over