Multi Topic Presentation – What is included in the Data, BigData IoT Strategy for CIOs and CEOs?
Anuj Varma found himself in the midst of a BigData readiness assessment, while working on a traditional data analytics engagement. He has, since then, performed more than a few of Hadoop Readiness exercises and is able to delve into the pros and cons of BigData for your enterprise, in this aptly titled Bigdata for CEOs, CIOs (Also , read IoT and the coming $2 Trillion Tsunami)
- Topic 1 – BigData IoT Strategy for CIOs, CEOs- Hadoop Readiness
- Topic 2 – Traditional Data Analytics on the Public Cloud (Azure, AWS, GCP)
- Topic 3 – Relational and Non-Relational Data Strategies – NoSQL Strategies on AWS, Azure, GCP
Topic 1 – Hadoop Readiness
- Hadoop on-premises readiness Assessment, at a fixed price. 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
- Have you had a Hadoop Readiness Assessment done lately? Are you maximizing your return on investment when it comes to data analytics and visualizations?
- Transactional as well as historical data can be an asset if it is correctly analyzed to provide accurate insights. Strategies for uncovering hidden patterns and correlations in data can optimize your business processes. Anuj Varma does a deep dive in this Business Intelligence Tools and Strategies presentation, providing success stories and tips from real world customers.
Topic 2 – Traditional Data Analytics on the Public Cloud (Azure, AWS, GCP)
- Traditional Enterprise Data Infrastructure, AWS Redshift, Google BigQuery, Azure Data Warehouse, Azure Data Lake
- Analytics in the Cloud – Fixed Price Engagements, 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
Topic 3 – Relational and Non-Relational Data Strategies – NoSQL Strategies on AWS, Azure, GCP
- 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
Start the conversation sooner, rather than later
Setup a time to chat with Anuj Varma today. Strategy cannot be an afterthought (™)