Data Management & Cloud Services

Data is at the centre of all data science projects and is critical for creating visualisations, gaining insights and undertaking machine learning and AI for inference.

Data comes in many formats and sizes. Data includes:

• structured data stored in relational databases
• semi-structured data including json and xml files
• unstructured data in documents and files
• text files
• log files (topics)
• images & videos
• streams

There are now many options when it comes to securing, storing, working with and sharing data.

Many organisations traditionally secured and managed data in databases or folders on their own infrastructure. Large organisations often had many data silos containing data from different departments in different formats.

Cloud services now offer a compelling alternative to self-managed infrastructure. Cloud providers include Microsoft Azure, Google Cloud and Amazon AWS.

For data science applications, there are many benefits to cloud services:

• Eliminate silos within and between organisations. Centralise, secure and share data.
• Create and share data and data insights with customers while managing data integrity and security.
• Access the compute resources required to clean and prepare data and train large models.
• Scale up and down compute resources as required.
• Fine-tune trained models with organisation-specific data for faster machine learning development.
• Use tools for data visualisation and data analytics.
• Gain access to services from cloud-only providers including Databricks, Snowflake and SageMaker.

We can assist you in choosing the right cloud services to manage your data and undertake data analytics, machine learning and AI.