Welcome to our web page about Amazon Web Services (AWS), specifically focusing on its capabilities in data warehousing, reporting, and AI. In this page, we will explore how AWS can help businesses manage and analyse their data with ease, create insightful reports, and leverage advanced AI tools for better decision-making.

Data Warehousing with AWS

AWS offers a range of data warehousing solutions that can cater to the needs of businesses of all sizes. Here are some of the key offerings in this space:

Amazon Redshift

Amazon Redshift is a fully managed, petabyte-scale data warehouse service that enables businesses to analyse their data using SQL and business intelligence tools. It offers fast query performance, scalable storage, and automatic backups, and is designed to handle a variety of data types, including structured, semi-structured, and unstructured data.

Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. It requires no infrastructure setup or management and can handle both structured and unstructured data.

Amazon EMR

Amazon EMR is a managed service that simplifies the processing of large amounts of data using open-source tools such as Apache Hadoop, Spark, and Presto. It enables businesses to run big data workloads at scale with ease, and offers features such as automatic scaling, data encryption, and data source integration.

aws data warehousing

Reporting with AWS

In addition to data warehousing, AWS also offers reporting tools that can help businesses create insightful reports and visualizations. Here are some of the key offerings in this space:

Amazon QuickSight

Amazon QuickSight is a cloud-powered business intelligence service that enables businesses to create and publish interactive dashboards, reports, and charts. It connects to a variety of data sources, including AWS data services, on-premises databases, and third-party data sources, and offers features such as data prep, ML insights, and ML-powered anomaly detection.

Amazon Data Pipeline

Amazon Data Pipeline is a fully managed service that makes it easy to move data between different AWS services and on-premises data sources. It can also be used to transform data as it moves between systems, and offers features such as scheduling, monitoring, and error handling.

quicksight and pipeline

AI with AWS

Finally, AWS offers a range of AI tools and services that enable businesses to leverage the power of machine learning and deep learning. Here are some of the key offerings in this space:

Amazon SageMaker

Amazon SageMaker is a fully managed service that enables businesses to build, train, and deploy machine learning models at scale. It offers a range of tools and frameworks for building models, including TensorFlow, PyTorch, and Apache MXNet, and integrates with other AWS services such as Amazon S3 and Amazon ECR.

Amazon Comprehend

Amazon Comprehend is a natural language processing (NLP) service that can be used to analyse text data for insights such as sentiment, entities, and key phrases. It can handle a variety of languages and data types, and offers features such as custom entity recognition and topic modelling.

Amazon Rekognition

Amazon Rekognition is a computer vision service that can be used to analyse images and videos for insights such as object and scene detection, facial analysis, and celebrity recognition. It can also be used for applications such as surveillance, content moderation, and marketing analysis.

comprehend, rekognition sagemaker

Conclusion

AWS offers a range of powerful tools and services for data warehousing, reporting, and AI that can help businesses manage and analyse their data with ease, create insightful reports and visualisations, and leverage advanced AI tools for better decision-making. Whether you're a small startup or a large enterprise, AWS has something to offer in this space, and we encourage you to explore its offerings.

Why Work With us?

Take a look at examples of our work and learn how our clients from different industries have benefited from our data science consulting services.

360 degree customer view

Whether you're a bank that wants to bring pertinant information about customers to the surface, or drive automated customer journeys, connecting your systems is an enabler that will help you achieve your goals. Datamatic leverages our expertise to help to solve these challenges.

Streamline your Employee Onboarding

If you're in an industry with high turnover of staff and compliance - mining or hospitality, for example - the number of systems that a new employee needs to be enrolled into can be daunting. Datamagic has helped organisations automate this process with online workflow, approvals and system integration.

Bring your Data into a Single Location

In most organisations, multiple systems are a fact of life and most of the time, management needs to report on data across multiple systems in order to support decision making. Datamagic supports this by bringing data into a central location (a data warehouse), which then enables cross system reporting.

Business Analytics

Business Analytics or BI (business intelligence) has been around forever. However, the availability of affordable, highly capable BI tools that are accessible for most small to medium businesses has really transformed the industry in the past few years. Talk to Datamagic about how you can take advantage of this.

See the future with predictive analytics

Wouldn't it be great to be able to predict the future? Running a business involves so many variables at any given time, it can be difficult to sort the important data from the minutiae. Machine learning can help to provide predictive analytics with a long list of input variables and can help to provide clear answers in the chaos.

Improve your data quality

One of the big challenges that we see many businesses face is bad data across a range of areas within the business. This could be duplicate customer data, innaccurate inventory or parts data, or any number of other areas. Master data management applies business rules to this data that helps to improve the quality of that data.

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Years of applied experience in data science, connecting systems and software development.

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Implemented projects worldwide with key clients from: USA, UK, Europe, Singapore.

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Qualified employees with master's degrees in: System Analytics, Computer Science.

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