Snowflake Data Warehouse Solutions
While there are many approaches to cloud Data, Accion Data Labs, can help you quickly implement and gain excellent ROI from the Snowflake Data Warehouse to access, integrate, and analyze Data with near-infinite scalability enabled automatically or on the fly.
How to Structure Content Using HTML5 Semantic Tags
The article provides an overview of the latest meaningful HTML 5 semantic tags like header, section, footer, article, aside, nav, and accessibility WAI-ARIA. Use of these semantic tags can modernize your web pages and significantly improve search engines interactions.
Cloud Data Warehouse
Understand how Accion data Labs can help you cost-effectively and quickly use Snowflake to drive rapid insights with a scalable, modern data analytics solution in the cloud.
Ramesh Babu Vegi
Having around 7+ years of progressive experience in BI Industry spanning across product development & application development with expertise in Oracle SQL, multiple ETL and ELT tools (Oracle Data Integrator, Oracle Warehouse Builder, Informatica)& Reporting Tool(OBIEE,Qlikview) and got trained on Tableau(Reporting) .
Facebook open sources realtime big data search with Presto
At a conference for developers at Facebook headquarters on Thursday, engineers working for the social networking giant revealed that it’s using a new homemade query engine called Presto to do fast interactive analysis on its already enormous 250-petabyte-and-growing data warehouse.
What Are the New Data Lake Patterns
The concept of a traditional Data warehouse is a very efficient one. Actually, it is so efficient that we have started using it to do all kinds of analytics. When we encounter challenging situations like changes to schema, excessive volumes and difficult identity resolution situations, the traditional approach falls short of expectations. An alternative approach, leveraging the concept of the Data lake, referred to as “The Data Lake Pattern” has gained a lot of momentum.
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
Abhijit Banerjee
16 years of rich experience in Quality Engineering & Assurance within Insurance and Banking domains across India, USA and Canada. Currently leading North American Sales and Canadian Branch QE Portfolio and accountable for entire QE delivery and Transformation. Played QA Program Manager and Test Manager roles over the last 5 years and leading a team of 40+ members in strategic projects and complex programs
Managing multi-million $ engagement with cross LOBs and multi-vendor environment. Vast experience in leading and implementing Enterprise testing transformation (Delivery, Process and Operational) through different KPIs and measuring in different maturity levels towards Best in Class (BIC). Experience in Resource planning, Capacity planning and utilization, Risk and impact tracking and effective communication to the stakeholders
Spearheaded multiple successful Agile Transformations and worked as an Agile Champion. Hands-on experience in Estimation, Requirement analysis, Shift-Left, Test Design, Test execution, Defect tracking, Daily Defect triage, Test Status Summary Reports Strong working experience in Waterfall, Agile and Scrum methodologies. Working experience in JIRA Consulting, JIRA Integration with Test management tools (ALM, TFS), JIRA configuration changes and SWOT analysis.
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.