Data Engineering

Data Engineering

Data is currently the greatest driving force in business and social development globally. At CloudZA we build to answer questions like: how and where is your data being stored? Is it being stored safely? What tools are you utilizing to analyze this data? How much time do you spend managing and maintaining the underlying infrastructure housing your data?

We specialise in maximising your data's potential. We design, build, and manage robust data pipelines, architectures, and warehouses in the cloud, empowering businesses to make data-driven decisions, drive innovation, and stay ahead.

Our experienced team can help design, build, and manage your cloud-based data pipelines, architectures, and warehouses.

Services includes:

Data ingestion and integration

Data warehousing and architecture

Data pipelines and architecture

Real-time data processing and analytics

Data governance and quality

Data Ingestion Tools

Apache Kafka

A distributed streaming platform that enables high-throughput and provides low-latency, fault-tolerant, and scalable data processing.

AWS Kinesis

A fully managed service that makes it easy to collect, process, and analyse real-time, streaming data.

Data Storage Tools

Apache Cassandra

A distributed, NoSQL database designed to handle large amounts of data across many commodity servers.

Amazon S3

A cloud-based object storage service that provides highly durable and scalable storage for data.

Data Processing Tools

Apache Spark

An open-source data processing engine that provides high-level APIs in Java, Python and Scala.

Apache Flink

An open-source platform for distributed stream and batch processing.

AWS Glue

A fully managed extract, transform and load (ETL) service that makes it easy to prepare and load data for analysis.