Automated Big Data Testing Services
Automated Big Data Testing Solutions for any Volume, Variety, and Velocity of Data
XenonStack, being automated Big Data Testing Solution Company helps you check organized and unstructured informational indexes, patterns, approaches and innate procedures living at various layers in your big data platforms, for example, 'Apache Sqoop', 'Apache Nifi' at Data Ingestion Layer, 'Spark', 'Mapreduce', 'Apache Pig' at Data Processing Layer and 'HBase', 'Hive', 'Cassandra' at Data Storage Layer.
Big Data systems typically processes a mix of structured data, unstructured data, and semi-structured data. Data sources can include a local file system, HDFS, Hive Tables, Streaming Sources, and Relational or other databases.
Hadoop MapReduce is a software framework for easily writing applications that processes vast amounts of data in-parallel or large clusters.
Data Warehouses play a vital role in Big Data. Companies rely on Data Warehouses for collecting information on their business operations, markets, and client behavior to identify patterns, and collect the results to identify more business opportunities and operational improvements.
Big Data Analytics refers to the process of collecting, organizing, and analyzing large sets of data to discover patterns and reporting useful information. Specific areas within analytics include Predictive Analytics, Enterprise Decision Management, Retail Analytics, Predictive Science, Credit Risk Analysis, and Fraud Analytics.
Identify response time, maximum online user data capacity size, and maximum processing capacity with Performance Testing. Failover Testing validates the recovery process and ensures data processing continues correctly when switched to other data nodes.