Dimensional Data Modeling (DDM) for your business
Dimensional data modeling is one of the methods of data modeling that helps us design a data model which is retrieval friendly. Let us try and build a crude model to understand dimensional modeling.
Abhimanyu Tomar
- Experienced in solution design and architecture, development, project management and delivery of enterprise search solutions
- Research and implement solution that fits project requirements.
- Mentoring development teams implement best practices and optimize development
- Skilled in front-end application design for products involving complex user interfaces
- Worked on big Data architecture handling large volumes of Data & set up infrastructure for handling multi-terabyte Data repositories
- Contributed in the development of Oodebe asynchronous I/O framework & performance testing platforms
Capabilities
- SDLC
- Open Source
- UI/UX Development
- HTML5, CSS, JS
- Jquery, Jquery UI,Bootstrap
- Data Modeling
- SQL/NoSQL Databases
- Big Data/NoSql
- Agile/SCRUM
Indiresh Govindaraju
Senior technical lead skilled in Dot Net, Angular JS, ASP.NET MVC, Scrum, Agile, R Programming, .NET Remoting, jQuery, Web API, WCF etc.
Ashish Moses
- Extensive experience in Business Intelligence across multiple domains.
- Project/Technical Manager for database, BI, ETL and application projects.
- database Modeling experience with exposure to Greenfield data Modeling projects as well as redesign for transactional database systems.
- End-to-end EDW design and implementation
- Strong background in ETL processes, data migration and data analysis tools.
Capabilities
- ETL
- Business Intelligence
- Datga Modeling
- EDW Architecture
- Requirements Analysis
- Agile Development
- Applicaiton Development Leadership
Imdad JS
Vamsi Krishna Bala
- Excellent expertise in Software Analysis, Design, Development of Enterprise data Warehouse.
- Very sound business knowledge in Technology, Finance, Banking and Retail domains.
- Good Understanding in all the phases of data Extraction, data Transformation and data Loading.
- Good Knowledge on data Warehousing concepts like Star Schema, Dimensions, Facts and data modeling.
- Good Expertise in Oracle SQL & PL SQL such as Procedures, Functions, Triggers, Cursors, Views and IBM DB2 database.
- Knowledge of unix shell scripting and functional testing.
Siva Kalyan Karpurapu
A Certified Informatica Developer, Certified Data warehousing specialist, Informatica, Datastage, OBIEE, Pentaho BI etc.
Sarika Jagannath Nikam
I am a MSBI & IBM technology professional with strong experience in the area of data warehouses, queries and reports. I have worked on several projects like ERP, healthcare, CRM, banking & finance.
My technology expertise of more than 10 years includes Microsoft SQL technologies, E-commers, data governance, data warehousing, and IBM Cognos
Abhishek Singh
Over 1.4 years of Total IT professional experience in Big data and data warehousing (ETL/ELT) technologies
includes requirements gathering, data analysis, design, development, system integration testing, deployments
and documentation.
● Research & develop Machine Learning models for Defense.
● Research Models for human detection in any climate circumstances.
● Provide SW specifications, production quality code and engage with algorithm proliferation activities
● Research and develop machine learning algorithms for drone night vision human detection.
● Hands on experience in solutions for Big data using Hadoop, HDFS, Map Reduce, Spark, PIG, Hive, Kafka, Sqoop,
Zoo keeper, Flume, Oozie.
● Excellent knowledge and hands on experience of Hadoop architecture and various components such as HDFS, Job
Tracker, Task Tracker, Name Node, data Node and Mapreduce programming paradigm and monitoring systems.
● Hands on experience in installing, configuring, and using Hadoop ecosystem components and management.
● Experience in importing and exporting data using Sqoop from HDFS/Hive to Relational database Systems and
vice - versa.
● Experienced and well versed in writing and using UDFs in both Hive and PIG using scala
● Excellent understanding with different storage concepts like block storage, object storage, column storage,
compression storage.
● Extensive experience in Extraction, Transformation <<>> Loading (ETL and ELT) data from various sources into
data Warehouses and data marts with industry best practices.
● Experience with Informatica ETL for data movement, applying data transformations and data loads.
● Good working experience with different Relational DB systems.
● Very good understanding with implementations in building data warehousing and data marts with OLTP vs OLAP,
star vs snowflake schema, normalization vs denormalization methods.
● Hands on experience in building wrapper shell scripts and analysis shell commands in practice.
● Supported various reporting teams and experience with data visualization tool Tableau.
● Very good at SQL, data analysis, unit testing, debugging data quality issues.
Suman Kalyan
Hands-on data science and machine learning leader with work across multiple industry verticals like telecom, healthcare, hitech etc.