How is a big data model deployed? Mention the essential procedures

The three basic steps involved in deploying a model onto a big data platform are,

• Data Ingestion
• Data Storage
• Data Processing

Data ingestion: This process entails gathering data from various platforms, including social media, corporate applications, log files, etc.

Data Storage: After data extraction is finished, storing the vast volume of data in the database presents a challenge. Here, the Hadoop Distributed File System (HDFS) is crucial.

Data processing: After storing the data in HDFS or HBase, the next step is to use specific algorithms to analyze and visualize this massive amount of data for better data processing. Again, using Hadoop, Apache Spark, Pig, etc. will make this work simpler

After carrying out these crucial actions, one can successfully install a big data model.