Big Data Analysis

Big Data Analytics is known as the process of examining large and varied data sets that range from big data, uncover hidden patterns, market trends, customer preferences, unknown correlations and other useful information that helps several organizations to take better, informed decisions for their businesses. As one of the reputed companies in the field of Big Data Analysis, Xeoscript makes use of various useful tools that help the team to bring out the best solutions for the clients.

Apache Spark: Open source parallel processing tool that helps the users to run and work with large scale data analytical applications across the clustered systems.

Pig: Another popular open source tool that provides high-level mechanism for various parallel programming of MapReduce job types that are executed through Hadoop clusters.

Hive: It is another open-source data warehouse system that is used for querying and finding large datasets that are stored in the Hadoop files.

Cassandra: It is one of the popularly used NoSQL databases. It helps in enhancing the scalability and performance of database sets.

Cassandra: It is one of the popularly used NoSQL databases. It helps in enhancing the scalability and performance of database sets.

Hadoop: Hadoop is an open-source programming framework that supports the processing and storage of extremely large data sets in a distributed computing environment.The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably.