Product Engineering Complex design and agile delivery

Hadoop Business intelligence, big data solutions, data warehousing Earlier, supercomputers or other specialized hardware is required to process big data sets. Hadoop, which is designed to scale thousands of machines, detect and handle failures at the application layer from a single server, allows you to tackle petabytes of data and beyond on smaller budgets. Our team of global experts apply their knowledge and experience to thoroughly examine your big data challenges and help you to successfully leverage Hadoop. ENTERPRISE DATA HUB

Data consolidation strategyArchitectural review and design Hadoop ecosystem technology selection and implementation: Hive, Spark, Pig, Sqoop, Flume, Oozie, MapReduce, HDFS, Kafka and moreHadoop distribution expertise: Apache Hadoop, Cloudera, MapR, HortonworksIntegration with NoSQL and relational databases such as MongoDB, Cassandra, HBase and others such as Oracle Database, Microsoft SQLServer and Oracle ExadataData ingestion designCluster installation and configurationData warehouse offload and modernizationData governance conformancePerformance tuning and optimizationData consolidation and integrationOn-going operational support HADOOP CONSULTING

Business case analysis and developmentArchitecture and platform developmentInstallation and configuration of new technologies and toolsCluster capacity planningData modelingHadoop performance tuningData warehouse migrationHadoop cluster upgradesPOC through production solution ; plan, build, deploySecurity requirements analysis, design, and implementation HADOOP MANAGED SERVICES

Ongoing business outcomes optimizations of applications, data, and infrastructureHadoop cluster performance monitoring Proactive and reactive monitoringContinuous improvements and upgradesOngoing new data integrationProblem resolution, root-cause analysis, and corrective actions