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.
Here are some key components and features of the framework:
Data Ingestion: The framework provides capabilities for ingesting data from various sources, such as databases, streaming services, or file systems. AWS Glue, a fully managed extract, transform, and load (ETL) service, is used for data ingestion and transformation tasks.
Data Cataloging: AWS Glue is utilized to create a metadata catalog that indexes and organizes the ingested data. This catalog makes it easy to discover and query the data stored in the data lake.
Data Processing: AWS Lambda functions and AWS Glue jobs are employed for data processing tasks. Lambda functions can be triggered by events or scheduled to process and transform data in real-time or batch mode.
Data Storage: Amazon S3 (Simple Storage Service) serves as the primary storage for the data lake. It provides scalable, durable, and secure object storage, allowing you to store any amount of data.
Data Querying and Analysis: Amazon Athena, a serverless interactive query service, allows you to run ad-hoc SQL queries directly on the data stored in Amazon S3 without requiring any infrastructure provisioning. This enables fast and cost-effective analysis of data
Orchestration and Workflow: AWS Step Functions enable the coordination and orchestration of various data processing steps and tasks. It provides a visual interface to design and manage serverless workflows.
Data Governance and Security: The framework integrates with AWS Identity and Access Management (IAM) for managing user permissions and access control to the data lake. It also supports data encryption, compliance, and auditing features to ensure data security and governance.
Scalability and Cost Optimization: By utilizing serverless technologies, the framework automatically scales resources based on demand, eliminating the need for manual capacity planning. This helps optimize costs by only paying for the resources consumed during data processing.
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 the need for managing underlying infrastructure.

Business Challenge

CloudPlexo was assigned the responsibility of assisting in the creation of a centralized data lake utilizing the power and capabilities of the AWS Serverless Data Lake Framework. With expertise in cloud computing and data management, CloudPlexo leveraged the various components of the framework to build a robust and scalable data lake architecture. They facilitated seamless data ingestion from multiple sources, including databases and streaming services, using AWS Glue's ETL capabilities.
CloudPlexo ensured efficient data processing by utilizing AWS Lambda functions and Glue jobs, allowing real-time and batch processing of the ingested data. Leveraging the power of Amazon S3, they provided a secure and durable storage solution for the data lake, ensuring scalability to accommodate any amount of data. CloudPlexo also implemented AWS Athena for easy querying and analysis of the stored data, enabling quick insights and actionable intelligence. By utilizing AWS Step Functions, they orchestrated the workflow and coordinated the various data processing tasks within the data lake. CloudPlexo emphasized data governance and security, implementing robust access control measures and encryption to ensure the integrity and confidentiality of the data.

Working Together

CloudPlexo working together as a consulting services partner.

Outcomes

CloudPlexo expertise in cloud technologies, coupled with the AWS Serverless Data Lake Framework, enabled CloudPlexo to deliver a centralized data lake that empowered the BP with efficient data management and analysis capabilities