Figure 1. Mr. Manohar Silam was presenting about the Google Cloud training module.
Purnomo Yusgiantoro Center (PYC) attended the Cloud OnBoard event by Google on April 23, 2019, at Pullman Jakarta Central Park Hotel. Google Cloud OnBoard returned to Jakarta with a new interactive format and an expanded training method. The event carried the theme of Big Data and Machine Learning which will be presented in several modules.
The event was opened by a welcoming speech of the Account Manager of Google Cloud Indonesia, Mr. Benaga Virgantara. He sent his warmest greeting to all speakers and participants. He hoped that the event could benefit all the participants with new knowledge and experience in the appointed theme. The following welcome speech was presented by the Enterprise Sales Lead of Google Cloud, Mr. Sugianto Rahardja, who greeted all the participants and expressed his sincere gratitude to the Google Cloud Indonesia who has held the Google Cloud OnBoard Seminar Jakarta 2019. He said that there would be 55 more cities in the world that will be visited by Google Cloud OnBoard in 2019, including Indonesia. Indonesia will take the turn to launch the Google Cloud platform in 2020. He hoped that the launching would advance the Information Technology (IT) progress in Indonesia.
The seminar was then continued by Mr. Manohar Silam, a google cloud instructor. He presented modules about the Introduction of Google Cloud Platform. In the future, Google Cloud will have a fully automated service. He said that the Google cloud platform would enable developers to build, test, and deploy applications on Google’s highly secure, reliable, and scalable infrastructure. The Google network has around 100,000 km of fiber and eight subsea cables to support its access.
The event was resumed after a break and lunch, by Mr. Manohar’s presentation on scaling data analysis module discussing fast random access, warehouse and interactively querying Petabytes and Interactive, iterative development and demos. Mr. Manohar Silam closed his presentation with Machine Learning module and ended by presenting Big Data and Cloud collaboration for Machine Learning.