Our capabilities help to explore possible sources of data and build a robust Data Ingestion mechanism to collect, ingest, and manage multiple data sources.
What We Do?
The Platingnum Data Ingestion service makes it simple and automatic to populate your data lake from the numerous data sources in and around your company. This helps to avoid the existing IT-centric ingestion method.
We’ll help you to:
- Reduce IT demand and eliminate bottlenecks
- Create a centralised data lake that is controlled and governed.
- Pave the way for rapid data analytics.
We are adept at coping with data lakes, ingestion pipelines, cloud platforms, and data integration for structured and unstructured data. Our methodology is focused on ensuring that our data engineering techniques reduce your operational costs, explore new information and revenue sources, and accelerate new product development.
- We can help you to copy your data either using streaming or batched methodologies from pre-existing databases and data warehouses to a data lake.
- We can develop data pipeline architecture and structure of code and systems that copy, cleanse, or transform as needed, and route source data to destination systems such as data warehouses and data lakes.
- We can build processes for incoming data, prioritizing sources, validating data, and routing it to the best location to be stored and ready for immediate access.
Real-time data ingestion for analytical or transactional processing would allow you to make timely operational decisions that are critical to the success of your organization – while the data is still current.
Platingnum can help you to capture real data ingestion from sources including databases, log files, sensors, and message queues and delivery to targets that include Big Data, Cloud, Transactional Databases, Files, and Messaging Systems.
Azure Data Ingestion – 2-weeks workshop
Organizations have a plethora of information that is siloed in multiple sources. One of the most significant barriers to realising commercial value from data is gathering this data for analytics, reporting, and AI applications.
Following are the common challenges that every organization has to face in Data Ingestion:
- Sluggish Processes
- Increased Complexity
- Various Cost factors
- Risk to Data Security
- Bottlenecked IT efforts to incorporate data in Single Azure Data Lake
Platingnum’s Data Ingestions service is a Real-time streaming service which is capable of capturing and processing a large amount of streaming data.
Our Approach – Deliverables
Our methodology is focused on ensuring that our data engineering techniques reduce your operational costs, explore new information and revenue sources, and accelerate new product development.
- Aligned Cloud Adoption Framework (CAF).
- Compatibility with both new and old Azure data lakes
- A secure Web UI is used to manage Azure data-lake ingestion.
- Azure Data Lake Governance Automation
- Models of flexible deployment
- GDPR Compliant
- Approach Using Extensible Connectors