AWS is a cloud computing service that offers full services from data centers around the world.
In addition to having a variety of analytics services and Big Data applications, it also provides several resources to help with the process of data growth and expansion.
Because it is flexible, it is possible to optimize time in planning and implementing, focusing management on the development and particularities of the business.
Discover solutions for data projects on AWS
Athena
Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table and file formats. Athena provides a streamlined and flexible way to analyze petabytes of data where it resides. Analyze data or build applications from an Amazon Simple Storage Service (S3) data lake and 25+ data sources, including on-premises data sources or other cloud systems using SQL or Python. Athena is built on open source Trino and Presto engines and Apache Spark frameworks, with no provisioning or configuration required.
AWS Glue
AWS Glue is a serverless data integration service that makes it easy for analytics users to discover, prepare, transfer, and integrate data from multiple sources. You can use it for analytics, machine learning, and application development. It also includes other productivity and data operationtools for creating, running jobs, and implementing business workflows.
AWS IoT Core
AWS IoT Core lets you connect billions of IoT devices and route trillions of messages to AWS services without managing the infrastructure.
Data Pipeline
AWS Data Pipeline is a web service that helps you securely process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data wherever it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services like Amazon S3, Amazon RDS, Amazon DynamoDB and Amazon EMR.
DataSync
AWS DataSync is a secure online service that automates and accelerates the movement of data between on-premises and AWS storage services. DataSync can copy data between Network File System (NFS) shares, Server Message Block (SMB), Hadoop Distributed File System (HDFS), self-managed object storage, AWS Snowcone, Amazon Simple Storage Service (Amazon S3) buckets , Amazon Elastic File System (Amazon EFS) file systems, Amazon FSx file systems for Windows File Server, Amazon FSx file systems for Luster, Amazon FSz file systems for OpenZFS, and Amazon FSx file systems for NetApp ONTAP.
EMR
Amazon EMR is the industry-leading cloud big data solution for data processing, interactive analytics, and machine learning that uses open source frameworks such as Apache Spark, Apache Hive, and Presto.
Kinesis Data Analytics
Amazon Kinesis makes it easy to collect, process, and analyze streaming data in real time, enabling you to gain timely insights and react quickly to new information. Amazon Kinesis offers essential features to cost-effectively process streaming data at any scale, plus the flexibility to choose the tools best suited to your application requirements. With Amazon Kinesis, you can consume real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis lets you process and analyze data as soon as it’s received and respond instantly rather than waiting for data collection to complete before processing can begin.
Kinesis Data Streams
Amazon Kinesis Data Streams is a serverless service that makes it easy to capture, process, and store data streams at any scale.
Lambda
AWS Lambda is a serverless, event-driven computing service that lets you run code for virtually any type of application or backend service without provisioning or managing servers. You can trigger Lambda from over 200 AWS services and software-as-a-service (SaaS) applications and only pay for what you use.
QuickSight
QuickSight delivers millions of dashboard views weekly to customers, enabling end users to make better data-driven decisions.
Redshift
Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using hardware and machine learning designed by AWS to deliver best price performance at any scale.
Manage, analyze and get the best insights
Data management demands attention and the best technologies, so we have different services and tools to help you at this time.
Data Managed Services
- Data migration
- Data collection and cleaning
- Data storage
- Data Warehouse Structuring and Governance
- Data exploration
Professional Data Services
- Mapping of data sources
- Data cleaning
- Data crossing
- Infrastructure construction
- Data exploration
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