With a Master’s in Electrical Engineering from Cornell, Anuj has been a hands-on technical architect since the mid 90s. Anuj is a certified cloud architect and a semi-regular speaker on Cloud Computing and Blockchain technologies. He also conducts youth camps to encourage math, science and computer science knowledge amongst kids. Areas of expertise include Cloud Architecture (certified AWS, Azure and GCP), Blockchain PoCs, Data Science, Application Architecture, Cloud Security.
In this targeted, deep dive into Analytics in the Cloud, Anuj compares cloud analytics offerings on GCP, AWS and Azure.
Traditional Analytics and Business Intelligence
- Azure Cortana Intelligence, Azure Data Analytics and Associated Ecosystem (Data Factory, Data Management Gateway and more..)
- AWS QuickSight versus PowerBI versus Google BiqQuery and Google Analytics
- 3rd party visualization tools on the cloud – Tableau Server, QlikView
BigData Analytics, Streaming Analytics and Cloud Tools
- Azure HDInsight and ecosystem
- Google DataProc , DataFlow and DataStore
- AWS Elastic Map Reduce and associated Ecosystem (DynamoDB, DataPipeline..)
On-Premises BigData Assessment
- Hadoop on-premises readiness Assessment. Spark versus Hadoop based workloads.
- Hbase, Hive, Pig and Spark Workloads
- Cloudera on-prem VM workloads
- MapReduce, Spark Simple and Complex Scenarios