Cloud Data Architecture: What You Need to Know in 2022 and Beyond (Big Data Analytics) talks about cloud solutions, cloud analytics, decentralized storage, data democratization, and more.
Key takeaway pointers:
1) Cloud analytics is often associated with artificial intelligence (AI), machine learning (ML), and deep learning (DL). And it is commonly used in industry applications
2) Democratize advanced technology by allowing your employees to work efficiently within their current knowledge. With innovative technology, there is a learning curve that developers/technicians need to go through to make the most of that technology.
3) Decentralized storage works on a reasonably democratic concept where data storage is not concentrated in the hands of a few tech giants. Instead, it is a peer-to-peer cloud storage solution with ordinary users or miners managing the system. Users rent out free disk space on their drives and are incentivized with tokens in return for their contribution.
4) Cloud adoption is a strategy used by enterprises to improve the scalability of Internet-based database capabilities while reducing cost and risk. To achieve this, businesses engage in the practice of cloud computing or using remote servers hosted on the Internet to store, manage, and process critical data.
5) Distributed cloud will support expanded service availability. By 2023, the leading cloud service providers will have a distributed ATM-like presence to serve a subset of their services for low-latency application requirements. Many cloud service providers are already investing in ways to make their services available closer to the users that need to access them.
Athiratt Jarnyaharn, Director of Data at BukuWarung
Nikhil Singh Kushwaha, Senior Data Architect at OCBC Bank
Bernard Tan, Director, Internal Audit at ISACA Singapore Chapter
Anndy Lian, Chief Digital Advisor at Mongolian Productivity Organization
Global Cloud Native & Open Source Summit 2022 focuses on a full range of cloud-native & open source technologies and is committed to defining the standard of the next generation of software engineering.
Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author “Blockchain Revolution 2030”.
Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.
An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.