Data Modernization with Data Lake on Cloud
Description: Data modernization with data lake on cloud hands-on training was organized by IEEE WIE Lahore Section and hosted by IEEE WIE UCP Student Branch on 8th January, 2020. This workshop was started with the recitation of the Holy Quran. Then our honourable Guest Speaker Mr. Saad Mahmood took the stage and discussed the related topic. He gave the concept of modernization of data on data lakes with the help of cloud. He said that Data lakes based on Hadoop technologies have proved themselves valuable in mission-critical use cases such as data warehousing, advanced analytics, multichannel marketing, complete customer views, digital supply chains, and the modernization of data management.
He added that most Hadoop users are committed to the data lake method of managing data, but they are limited by Hadoop shortcomings in key areas such as cluster maintenance, administration cost, resource management, metadata management, and support for SQL and other relational technologies. Many view cloud-based solutions as the optimal replacement for their data lake, but they are not ready to make such a significant change. The truth is: they don't have to, as the two technologies can coexist.
In this workshop, students learnt about:
- Data lakes: what they are and what they can do for your organization
- Real-world use cases for data lakes in data warehousing, analytics, self-service data practices, and operations
- The origin of Hadoop data lakes: why some are on relational databases and others are on multiple platforms
- Why the cloud is becoming the preferred platform
- How Hadoop's limitations affect data lake success
- How the benefits of cloud technologies apply to data lakes?
- Statistics about Hadoop, data lakes, and cloud adoption and migration
- Future directions for data lakes including multi platform architectures, hybrid lakes, virtual lakes, and relational lakes
At the end of the session, a souvenir was presented to the guest speaker and he was also entertained by refreshment, which was arranged by IEEE UCP Student branch.
Impact of Event on Community: In this workshop, students learnt about:
- Data lakes: what they are and what they can do for your organization
- Real-world use cases for data lakes in data warehousing, analytics, self-service data practices, and operations
- The origin of Hadoop data lakes: why some are on relational databases and others are on multiple platforms
- Why the cloud is becoming the preferred platform
- How Hadoop's limitations affect data lake success
- How the benefits of cloud technologies apply to data lakes?
- Statistics about Hadoop, data lakes, and cloud adoption and migration
- Future directions for data lakes including multi platform architectures, hybrid lakes, virtual lakes, and relational lakes
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- University of Central Punjab
- Lahore, Punjab
- Pakistan
Speakers
Mr. Saad Mahmood
Data Modernization with Data Lake on Cloud
- Data lakes: what they are and what they can do for your organization
- Real-world use cases for data lakes in data warehousing, analytics, self-service data
practices, and operations
- The origin of Hadoop data lakes: why some are on relational databases and others are on
multiple platforms
- Why the cloud is becoming the preferred platform
- How Hadoop's limitations affect data lake success
- How the benefits of cloud technologies apply to data lakes?
- Statistics about Hadoop, data lakes, and cloud adoption and migration
- Future directions for data lakes including multi-platform architectures, hybrid lakes, virtual
lakes, and relational lakes.