Hadoop Readiness Assessment
Maximize your investment in your data warehouse and analytics platforms. This one of a kind service includes all your transactional as well as historical data. The assessment is a pre-requisite for accurate insights. Strategies for uncovering hidden patterns and correlations in data can optimize your business processes.
BigData Analytics
- Hadoop on-premises readiness Assessment. Spark versus Hadoop based workloads.
- Google BigQuery, DataProc and DataPrep; Google Machine Learning based Predictive Models
- Hbase, Hive, Pig and Spark Workloads – On Premises and in the Cloud
- Cloudera on-prem VM workloads
- MapReduce, Spark Simple and Complex Scenarios
Traditional Business Intelligence
- Traditional Enterprise Data Infrastructure, AWS Redshift, Google BigQuery, Azure Data Warehouse, Azure Data Lake
- Analytics in the Cloud, Computation in the Cloud, Tableau Based Visualizations, Public Private Visualizations
- Master Data Management, Data Warehouses – Architecture – Patterns and Best Practices
- Asset Management, Centralized Assets Master DataBase (CMDB), ITIL, Software License Tracking, Application Consolidation
Relational and Non-Relational Data Strategies – NoSQL Strategies
- Combining relational with non-relational data, Maintaining data relationships in a non-relational world
- NoSQL Design, Best Practices, Common Uses, Success Stories,
- Normalization and DeNormalization Use Cases, Low Latency Systems Design