BP Case Study

The Company

British Petroleum, commonly known as BP, is a multinational oil and gas company headquartered in London, United Kingdom. It is one of the world's largest oil and gas companies and has operations in all areas of the oil and gas industry, including exploration, production, refining, distribution, and marketing.

Over the years, BP expanded its operations globally and diversified into various sectors of the energy industry. It operates in more than 70 countries and has a significant presence in Europe, North America, and Asia. BP is involved in upstream activities, such as oil and gas exploration and production, with a focus on both conventional and unconventional resources.

BP also has a strong downstream presence and operates a large network of refineries and petrochemical plants. It sells its products, including gasoline, diesel, lubricants, and other refined products, through a network of service stations and retail outlets worldwide. Additionally, BP has a trading and marketing division that deals with the buying and selling of crude oil, refined products, and other commodities.

Overall, British Petroleum is a major player in the global energy industry, with a focus on oil and gas exploration, production, refining, and marketing. It is also increasingly investing in renewable energy and low-carbon initiatives as part of its long-term strategy.

Solution

The AWS Serverless Data Lake Framework is a comprehensive and scalable solution provided by Amazon Web Services (AWS) that helps organizations build, deploy, and manage data lakes using serverless technologies. A data lake is a centralized repository that allows you to store and analyze structured and unstructured data at any scale.

The AWS Serverless Data Lake Framework leverages various AWS services, including AWS Glue, AWS Lambda, Amazon S3, AWS Step Functions, and Amazon Athena, among others, to enable the creation of a serverless data lake architecture.

Key Components and Features:

• Data Ingestion: AWS Glue is used for data ingestion and transformation tasks, enabling ingestion from databases, streaming services, or file systems.
• Data Cataloging: AWS Glue creates a metadata catalog that indexes and organizes ingested data, making it easy to discover and query.
• Data Processing: AWS Lambda functions and AWS Glue jobs handle real-time and batch data processing tasks.
• Data Storage: Amazon S3 serves as the primary storage for the data lake, providing scalable, durable, and secure object storage.
• Data Querying and Analysis: Amazon Athena allows ad-hoc SQL queries directly on data stored in Amazon S3 without infrastructure provisioning.
• Orchestration and Workflow: AWS Step Functions orchestrate data processing steps and workflows with a visual interface.
• Data Governance and Security: Integrates with AWS IAM for access control and supports encryption and compliance features.
• Scalability and Cost Optimization: Automatically scales resources using serverless technologies, optimizing costs by paying only for consumed resources.

The AWS Serverless Data Lake Framework simplified the implementation and management of data lakes, allowing organizations such as BP to focus on deriving insights and value from their data without managing underlying infrastructure.

Business Challenge

CloudPlexo was tasked with creating a centralized data lake using the AWS Serverless Data Lake Framework. Leveraging cloud computing and data management expertise, CloudPlexo:

• Enabled seamless data ingestion from multiple sources using AWS Glue.
• Utilized AWS Lambda and Glue jobs for efficient real-time and batch data processing.
• Provided secure and scalable storage with Amazon S3.
• Implemented Amazon Athena for quick querying and analysis.
• Orchestrated workflows using AWS Step Functions.
• Ensured robust data governance and security with access control and encryption.

Working Together

CloudPlexo worked as a consulting services partner to implement the solution.

Outcomes

CloudPlexo’s expertise in cloud technologies, combined with the AWS Serverless Data Lake Framework, empowered BP with efficient data management and analysis capabilities by delivering a centralized, scalable data lake solution.