PinnedRamesh Nelluri - Ideas to LifeinInsights and DataRamesh Nelluri — Insights and DataStrong believer of “Data Speaks”.Jun 26, 20221Jun 26, 20221
Ramesh Nelluri - Ideas to LifeinInsights and DataHow Cloud Resource Sprawl is Costing You More Than You ThinkWhat is Sprawl — Uncontrolled or Unplanned ExpansionJul 12, 2023Jul 12, 2023
Ramesh Nelluri - Ideas to LifeinInsights and DataToyota’s Hydrogen Fuel BreakthroughA Game Changer for the Auto Industry and the Environment? Exploring the potential of hydrogen-fueled cars to revolutionize the automotiveApr 25, 20231Apr 25, 20231
Ramesh Nelluri - Ideas to LifeHow do you connect Azure data factory with on-premise data sources?To connect Azure Data Factory with on-premise data sources, we need to create a self-hosted integration runtime and a linked service.Apr 11, 20231Apr 11, 20231
Ramesh Nelluri - Ideas to LifeWhat is Data Factory? Where do you use it?Azure Data Factory is a cloud-based data integration service that allows users to create, schedule, and orchestrate data workflows.Apr 11, 2023Apr 11, 2023
Ramesh Nelluri - Ideas to LifeWhat is a cluster? did you work with a cluster?Distributed computing is a key feature of clusters that enables splitting tasks into smaller tasks that can be executed concurrently on nodeApr 11, 2023Apr 11, 2023
Ramesh Nelluri - Ideas to LifeWhat is the difference between Pandas and Spark?Pandas is suitable for datasets that fit into memory, while Spark is designed for parallel processing of large-scale datasets.Apr 11, 2023Apr 11, 2023
Ramesh Nelluri - Ideas to LifeWhat is a dataframe?A dataframe is a two-dimensional, tabular data structure with labeled axes (rows and columns).Apr 11, 2023Apr 11, 2023
Ramesh Nelluri - Ideas to LifeinInsights and DataWhat is best between pandas and Spark? explain why?Based on the above factors, the choice between Pandas and Spark depends on the size of the data set, processing speed, scalability, and…Apr 11, 2023Apr 11, 2023
Ramesh Nelluri - Ideas to LifeinInsights and DataWhat are the limitations of pandas?Pandas has some limitations, including high memory usage, performance issues with large datasets, and limited parallel or distributed…Apr 10, 2023Apr 10, 2023