BIG DATA ANALYTICS
Introduction to Data Analytics Data Analytics is the science of analyzing data to convert information to useful knowledge. This knowledge could help us understand our world better, and in many contexts enable us to make better decisions.Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. Data is extracted and categorized to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements. More advanced types of data analytics include data mining, which involves sorting through large data sets to identify trends, patterns and relationships; predictive analytics, which seeks to predict customer behavior, equipment failures and other future events; and machine learning, an artificial intelligence technique …Businesses and Big Data Analytics. Big Data analytics tools and techniques are rising in demand due to the use of Big Data in businesses.. These tools help in providing meaningful information for making better business decisions. The companies can improve their strategies by keeping in mind the customer focus. Why is data analytics important? Big Data analytics tools and techniques are rising in demand due to the use of Big Data in businesses. Big data analytics efficiently helps operations to become more effective. This helps in improving the profits of the company. Big data analytics tools like Hadoop helps in reducing the cost of storage. Why Big Data analytics is needed? Big Data analytics tools and techniques are rising in demand due to the use of Big Data in businesses. … Big data analytics efficiently helps operations to become more effective. This helps in improving the profits of the company. Big data analytics tools like Hadoop helps in reducing the cost of storage. Types of data analytics- Descriptive analytics. Descriptive analytics answers the question of what happened. …
- Diagnostic analytics. At this stage, historical data can be measured against other data to answer the question of why something happened. …
- Predictive analytics. Predictive analytics tells what is likely to happen. …
- Prescriptive analytics.
- Data Management Professional. Affiliated with the role of a database administrator, this role is a possibility but has nothing in common with the data analyst role. …
- Data Engineer. …
- Business Analyst. …
- Machine Learning. …
- Data Scientist.