DirMOD AND AWS
COLLABORATE WITH THE DIGITAL TRANSFORMATION OF ORGANIZATIONS
What is Data and Why It’s Beneficial to Incorporate It into Your Company?
A datalake centralizes information from various sources, using appropriate and optimized data architectures on the cloud infrastructure. A data strategy and governance are applied to this service to allow only the minimum necessary access.
The main data services proposed by AWS are:
Amazon Quicksight: It is AWS’s data visualization tool that allows you to create interactive reports and dashboards.
Amazon Redshift: It is a fully managed data warehousing service that allows you to store and analyze large volumes of data.
Amazon S3 (Simple Storage Service): It stores the data used in BI solutions and is a scalable and durable storage service.
AWS Glue: It is an Extract, Transform, Load (ETL) service that allows you to prepare and transform data for analysis in other BI tools.
AWS Data Pipeline: It facilitates the orchestration and scheduling of ETL workflows to move data between different AWS services and on-premises systems.
Amazon Athena: It allows you to query data stored in Amazon S3 using standard SQL, without the need to load it into a database.
AWS Lambda: It can be used to execute code in response to events, such as the arrival of new data, and trigger BI workflows.
Amazon Kinesis: It is used for real-time processing of streaming data that can be used for real-time analysis.
Amazon EMR (Elastic MapReduce): It is a big data service used to process and analyze large datasets using frameworks like Apache Hadoop and Apache Spark.
AWS Glue DataBrew: It is a visual data preparation tool that simplifies data cleaning and transformation for analysis.
Amazon Machine Learning (AML): It offers machine learning capabilities to create prediction and classification models based on data.
Amazon Redshift: It is a cloud-based data storage and analysis service. It efficiently and scalably processes and analyzes large amounts of data.
SCALABLE DATA LAKE
AWS data lakes, backed by Amazon S3, enable the combination of data and analytics approaches, providing detailed insights beyond traditional methods
PERFORMANCE AND COST-OPTIMIZED DESING
AWS analytics services are designed to extract information from your data quickly and efficiently, optimizing performance, scalability, and costs according to your needs
SERVERLESS AND USER-FRIENDLY
AWS offers numerous serverless options for cloud data analytics, including data storage, big data analysis, real-time data, and more. We take care of the infrastructure so you can focus on your application.
UNIFIED DATA ACCESS, SECURITY, AND GOVERNANCE
AWS centralizes the management of security, governance, and auditing policies to comply with specific industry and geographical regulations. Your data is secure, regardless of its location.
MACHINE LEARNING (ML) INTEGRATION
AWS includes ML integration in its analytics services. You can create, train, and deploy ML models using SQL commands, without the need for prior experience in machine learning.