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Big Data & Cloud Computing
Rp 5.950.000| Stok | Tersedia |
| Kategori | 100+ Pelatihan Engineering & Migas Profesional 2026 | Sertifikat Resmi, IT |
Trainer: Trainer: Andika Bayu Saputra, S.Kom, M.Kom
Jogjakarta: 17-20 December, 2024
Big Data & Cloud Computing
Background:
According to the experts, Big Data is data with characteristics of being very large, very varied, growing very fast and possibly unstructured needs to be processed further specifically with innovative technology to obtain in-depth information and can help make better decisions. World IT Master such as Google and Facebook have successfully utilized their user data to grow their companies. The characteristics of big data have four things, namely being very large (high-volume), or very varied (high-variety), or high growth rate (high-velocity), and very unclear (high veracity) often referred to as the 4-V’s of Big Data. Big Data & cloud computing technology was created to handle the four characteristics above. Big data itself is closely related to cloud computing in its implementation.
In recent years, due to advancement of internet technologies and instrumentation of every part of our life, we have noticed a huge surge in data available to us. This revolution is termed as Big Data. This Big Data cannot be processed or managed by any traditional methods of processing. This has led to development of several high performance and distributed computing platforms and programming frameworks.
To adapt to this new technology & take maximum benefits from it, we need to learn quickly
Learning Outcomes:
- Analyse the problems and challenges associated with big data
- Adapt the emerging big data and cloud technologies to support business applications
- Design high performance and cloud applications to support scalable online services
- Design big data processing applications to efficiently process high volume and velocity data
- Utilize big data technology to enhance operational needs
- Able to manage potential risk related to big data & cloud computing
Training Outline:
- Big Data Fundamental
- Data Management
- Data Processing
- Data Analysis & Visualization
- Risk Management
- Cloud System
- Infrastructure (hardware, storage, processing)
- Platform (tools, build apps)
- Software (services)
- MapReduce Programming
- Big Data Technology
- Hadoop Fundamental
- Spark Fundamental
Trainer: Andika Bayu Saputra, S.Kom, M.Kom
Big Data & Cloud Computing
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