Cloud Strategy and Architecture
Cloud adoption roadmap development
This involves helping organizations to create a roadmap for adopting cloud technologies and services, taking into account their unique business requirements, current IT infrastructure, and budget.
Cloud architecture design and optimization
This involves designing cloud architectures that are scalable, secure, and cost-effective, while also ensuring they meet business requirements.
Cloud governance and compliance
By focusing on delivering working software in short iterations, Agile allows you to incorporate customer feedback quickly and make changes as needed.
Cloud vendor selection and evaluation
This involves helping organizations to select the right cloud service provider(s) based on their business needs and IT requirements.
Cloud Data Engineering Data engineering pipelines are a series of processes and tools used to move data from various sources, transform it, and load it into a target system. These pipelines typically involve multiple stages such as data ingestion, data cleaning, data transformation, and data loading. Cloud providers offer a range of data engineering pipelines solutions. Some of the providers we work with are:
AWS Glue
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to move data between data stores. It supports various data sources and targets, and offers features such as automatic schema discovery, data transformation, and job scheduling.
Azure Data Factory
Azure Data Factory is a cloud-based ETL and data integration service that allows organizations to create data pipelines for moving data between various sources and targets. It offers features such as data transformation, data movement, and data orchestration.
Google Cloud Dataflow
Google Cloud Dataflow is a fully managed service for building and executing ETL pipelines. It supports both batch and streaming data processing, and offers features such as parallel processing, data transformation, and job monitoring.
Cloud Native and Hybrid Development
Cloud-native application development
Designing and developing applications that are specifically built for deployment on cloud infrastructure, leveraging microservices, containers, and serverless computing.
Hybrid cloud development
Building apps that can run on multiple platforms using a single codebase. Popular cross-platform frameworks include React Native, Xamarin, and Flutter
Data Science and Engineering
Cloud Data Migration
Migrate your data from on-premise systems to cloud-based platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) while ensuring that your data is secure, backed up, and easily accessible from the cloud.
Cloud Data Storage and Management
Set up and manage cloud-based data storage solutions, such as Amazon S3, Azure Blob Storage, or Google Cloud Storage. Design and implement data management strategies that ensure your data is organized, accessible, and secure.
Cloud Data Processing and Analysis
Set up and optimize cloud-based data processing and analysis solutions, such as Amazon EMR, Azure HDInsight, or Google Cloud Dataproc. Integrate these platforms with other cloud-based services to create powerful data analytics pipelines.
Cloud DevOps Consulting
Cloud DevOps practices enable continuous integration, delivery, and deployment of applications on cloud infrastructure.
AI Strategy Consulting
We help you make the most of your Cloud investments by helping you develop a cloud first AI strategy that focuses on making data available for your AI models to run effectively