Do you feel confused about where to begin with cloud computing? This article will take you through the factors you need to consider.
Cloud computing is the delivery of different services through the Internet, including data storage, servers, databases, networking, and software. Cloud-based storage makes it possible to save files to a remote database and retrieve them on demand
Cloud is just a internet based: email exists some where on some machine, we do not know where the exist .We have some servers that store email, videos, pictures, any thing else. where is that server and where exist we don’t know. That data is stored on cloud on some server or server of servers. When we want data just access the data with internet its available for me. this is the power of cloud. If we are using gmail, facebook, you tube…means we are using cloud. Cloud computing uses virtualization concept for increasing efficiency. Now hosting companies like amazon, google are provided cloud services, cloud storage and resources on the cloud environment.
We want to leave several old perceptions behind and be radical in the move to the cloud, see drawing. Therefore I would like to talk to an expert about options on migrating an on premise architecture into the cloud in the best way possible. Candidates need to have a proven migration background in similar projects. Special topics to be discussed are: - Strategy aka "the why" - Prerequisites to move - Administration & security - Azure AD only, getting rid of AD - project timeline - migration sequence Session will be held in teams / teams whiteboard. Native German or English language is a plus.
Looking for an Azure Data Engineer from India for our Enterprise Client (INDIVIDUALS ONLY). Teams/Enterprises/Consultancies/Agencies please stay away. Project Duration: 3-6 months Location: Remote/WFH. Hours Required: 40 hrs/week Responsibilities • Design Azure Data Lake solution, partition strategy for files • Explore and load data from structured and semi-structured data sources into ADLS and Azure Blob Storage • Ingest and transform data using Azure Data Factory • Ingest and transform data using Azure Databricks and PySpark • Design and build data engineering pipelines using Azure Data Factory • Implement data pipelines for full load and incremental data loads • Design and build error handling, data quality routines using Data factory a...