Innovative Solutions

Cloud Computing For Big Data

“Cloud computing has become the backbone of the modern digital economy, especially in the field of big data. As organizations collect and process massive amounts of information, cloud services provide the scalability, reliability, and flexibility needed to manage this data efficiently. This portal explores three key areas of cloud computing for big data: the leading cloud platforms, Big Data as a Service (BDaaS), and elastic computing with scalability challenges.”

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500+ Projects Completed
98% Client Satisfaction
24/7 Support Available
Secure & Reliable
Traditional infrastructure cannot handle this growth alone
High Performance
Cloud computing enables users to harness insights from big data without investing in costly hardware

Cloud Platforms (Amazon Web Services)

Cloud platforms are large-scale infrastructures and services provided by companies like Amazon, Google, and Microsoft. They allow organizations to store, process, and analyze big data with pay-as-you-go pricing and virtually unlimited capacity.

Amazon Web Services (AWS) • Overview: AWS is the market leader in cloud computing and provides a wide range of big data services.

• Key Services: o Amazon S3 – object storage for massive datasets. o Amazon Redshift – cloud data warehouse optimized for big data analytics. o Amazon EMR – managed Hadoop/Spark clusters for large-scale data processing. o SageMaker – machine learning service to build, train, and deploy models.

• Strengths: Scalability, wide global availability, large ecosystem of tools.

8+
Years Experience
450+
Projects Completed
25
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Examples

Example From BDaaS

Example 1

AWS & Data Exchange

marketplace for curated datasets.

Example 2

Google BigQuery

a serverless data warehouse optimized for analytics.

Example 3

Azure Data Lake Analytics

distributed analytics service for structured and unstructured data.

Elastic Computing and Scalability Issues

Definition

Elastic computing is the ability of cloud systems to automatically scale computing power up or down depending on workload demand. Instead of buying permanent hardware, businesses pay only for the resources they use.

  • All
  • Cost Management
  • Latency and Bandwidth
  • Data Security
  • Vendor Lock-in
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Team

Two Students From CS department in DIT

Ivannovich S. Araujo Belo

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Estudante DIT Departamentu Computer Science Tornu 2023.

Richardson Leong Freitas

Editor 1

Estudante DIT Departamentu Computer Science Tornu 2023.

Contact

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Location

Rua Manleuana, Dilik, Timor-Leste

Email

RichardsonL@gmail.com

Call

+670 73492961

Open Hours

Monday-Friday: 9AM - 6PM

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We’d love to hear from you. Reach out for collaborations, inquiries, or support.

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