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Dimensional Data Modeling (DDM) for your business

Aswani Karteek Yadavilli

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.

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

Bhushan Bonde

Bhushan Bonde leads the Innovation Development for Pharmaceutical R&D, primarily focused on application of AI and ML for developing better disease treatments and using novel methods like Quantum Computing (QC) for application to Drug Discovery and AI Deep Learning methods.

With more than 2 decades of experience, Bhushan is an expert in meta and advanced data analytics using Machine and AI/Deep Learning techniques for drug discovery, Systems Biology Modelling, Genetics (GWAS/PheWAS) based Patient stratification and NGS data analysis.

Bhushan has worked across industries universities and government research institutes throughout his career. Bhushan received his PhD in Systems Biology and Mathematical Modelling from Oxford University in 2006, and also holds an interdisciplinary M. Tech in Bioprocess technology/Chemical Eng. (2001) and a Bachelor in Pharmacy (1998).

He has a deep interest in biological data mining and visualization, mathematical algorithm design, high-performance scientific computing, and simulation Modelling of biological systems. Bhushan is also always on the lookout for disruptive technologies such as next-generation sequencing, NoSQL techniques for data integration, gene signature-based mapping for drug repurposing, digital/sensors data, and biological imaging.

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.

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

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.

Sriram Bajrang Bulusu

Sriram Bajrang Bulusu is a data expert creating, architecting and implementing data analytics solutions and leveraging cloud capabilities to generate actionable insights out of data.

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