Data Ecosystem & Significance of Cloud

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About Event

Data analysts use several methods and techniques to analyze data and face several challenges in the process. Data analysts should be well versed in such challenges and shall develop analysis and reporting capabilities. Also, can monitor performance and quality control plans to identify improvements. Acquiring data from primary or secondary data sources and maintaining databases

Cloud computing has seen the fastest adoption into the mainstream than any other technology in the domain. Cloud computing has revolutionized the way information and programs are stored. But what exactly is cloud computing? And why should you work in it? Here are all your answers

In this webinar you will learn:

The ecosystem of Data and Analytics
Data Lifecycle & Current Issues/Challenges
An Intro to Data Engineering Processes
Role & Importance of Cloud Computing
Q & A

About Anurag Singh:

As a Data Science architect with 12 years of experience in the IT industry, I am currently responsible for establishing best-in-class practices and architecting end-to-end solutions in collaboration with other solution engineers in the area of AI/ML for MS Azure.

I have a deep understanding of systems, data services structures, integrations methods & open source tools. I command cutting-edge technical skills in Azure Data Factory/Data Flow, Databricks, Data Lake, Data Lake Analytics (USQL), Stream Analytics for Big Data/ETL platforms, SQL Server, Oracle 11G, Cosmos DB, SQL DataWarehouse/Synapse Analytics for Database and DataWarehouse.