DIGIXT
A cognitive digital transformation platform for businesses to gain a competitive edge, improving operational resilience and enabling flexibility in this new digital reality
Excel in the Digital Era
Connect any data sources to Construct business-driven models and Contain the data in the simplest and most efficient way for clients to Consume in a multitude of ways.
Connect
- Enables change to data capture support
- Offers template-based data ingestion
- Utilise out of box connectors for enterprise applications
Construct
This layer offers declarative ETL pipelines for both stream and batch ingestion, as well as visible end-to-end pipeline tracking for health performance quality.
- Provides data pipeline observability
- Creates unified data pipeline scheduling
- Offers stream and batch processing pipelines
- Incorporates data lineage
Contain
This layer enables industry-first polyglot storage, allowing clients to choose storage based on their use-cases.
- Offers an on-prem/Cloud object storage which supports pushdown and is proven for petabytes of data
- Supports real-time distributed OLAP data storage suitable for user-facing analytics with smart indexing
- Enables zero-copy reads of large data sets for lightning-fast data access in AI and machine learning applications.
Consume
This layer serves as a unified gateway, exposing and aggregating data from polyglot storage. It also incorporates an MPP (Massively Parallel Processing) distributed query engine which can be used with SQL queries
- Supports SQL and can be connected through JDBC
- Offers Data Virtualization support
- Serves as a convenient data discovery tool that also facilitates collaboration.
Control
This layer provides a simple and single console for monitoring and managing all DigiXT modules.
- Permits for authentication and authorization
- Allows log and audit management
- Enables extensive security management
Platform Architecture
A digital transformation platform architecture that integrates state-of-the-art technologies and capabilities to deliver a holistic digital experience
Structured
Unstructured
Semi Structured
Streaming
DigiXT AI Market Place
DigiXT ML LAB
DigiXT Connect
DigiXT Connect
DigiXT Consume
DigiXT Compose
DigiXT Compose
DigiXT Contain
DigiXT Control
Authentication / Access Management
Audit Management
Security Management
Monitoring
Structured
Unstructured
Semi Structured
Streaming
DigiXT AI Market Place
DigiXT ML LAB
DigiXT Connect
DigiXT Connect
DigiXT Consume
DigiXT Compose
DigiXT Compose
DigiXT Contain
DigiXT Control
Authentication / Access Management
Audit Management
Security Management
Monitoring
What Do We Deliver!
DigiXT incorporates a comprehensive modular system with ready-to-deploy use cases that accelerates the Big Data journey with promising results.
Modular system
“Invest less for more”
- Features a highly scalable and agile architecture.
- Inclusive of deployment services
End-to-end solutions
“Ready to deploy use-cases”
- Incorporates business use-case solutions that are pre-built or customized to meet specific requirements.
- Ensures functions are designed around user-specific goals.
Guaranteed results
“Delivering outcome-based solutions”
- Guarantees primary focus on the specified business use-case when integrating curated data.
- Allows for rapid deployment while optimizing time and cost.
How Can We Help?
How Can We Help?
Re-imagine the path to
digital transformation
Our AI implementation methodology streamlines your AI journey.
Finalize use-cases
Select data sources
Platform Deployment
Data Ingestion
Data Management
Deploy AI/ML Platform
Discover Our Core capabilities
Given the sheer size of the data sets, a big data solution must often process data files using long-running batch tasks to filter, combine, and otherwise prepare the data for analysis. These jobs often involve reading source files, processing them, and publishing the output to new files.
If the solution has real-time sources, the architecture must include a mechanism for capturing and storing real-time messages for stream processing. This can be a basic data storage, with incoming messages being dumped into a folder for processing. Many systems require a message ingestion store to operate as a buffer for messages to allow scale-out processing, dependable delivery, and other message queuing semantics.
Change Data Capture (CDC) is a data Integration technique that enables high-velocity data to accomplish reliable, low-latency, and scalable data replication while utilising fewer computation resources. We use CDC to provide fresh data updates in real-time to BI tools and team members, keeping them up to date. The most significant benefit of DigiXT’s CDC is that it can stream updates without directly querying the underlying source which is a significant performance boost.
Exploratory Data Analysis (EDA) assists us in identifying the underlying structure of data and its dynamics, allowing us to maximise insights. EDA is also essential for extracting key variables and detecting outliers and abnormalities. Despite the fact that there are several algorithms in Machine Learning, EDA is regarded as one of the most significant components for understanding and driving the enterprise. Through search, lineage, and striking visualisations, the DigiXT platform tells a captivating story about your data.
As there are several databases accessible to address various issues, relying on a single database to meet all programme needs might result in a non-performing, “jack of all trades, master of none” solution. The storage in DigiXT’s architecture is polyglot, which means it may be of many kinds depending on the use case. This layer supports some of the most complex persistence architectures.
This layer or module provides a contemporary data layer that allows users to access, combine, transform, and deliver datasets with unprecedented speed and efficiency. Data virtualization technology provides users with quick access to data stored throughout the enterprise, including traditional databases, big data sources, and cloud and IoT systems, in a fraction of the time and expense of physical warehousing and extract/transform/load (ETL).
This module takes your experience in management operations from reactive to proactive. DigiXT empowers you to anticipate how changes to your product, brand, or customer and employee engagement will impact the bottom line.
Most big data solutions aim to bring insights into the data via analysis and reporting. This layer allows for access-controlled data retrieval for MIS reasons. Standard access techniques, such as APIs and ODBC/JDBC, are available for downstream access, from mobile applications to web applications.
Typical big data solutions consist of repeated data processing operations included in workflows that convert source data, transfer data across many sources and sinks, as well as load, processed data into an analytical data repository or convey the findings directly to a report or dashboard. This layer is responsible for automating these workflows.
This layer ensures the success of the platform which is determined by the efficiency with which the separate components are handled, with a management console for creating users, granting access, monitoring, and implementing alerts and notifications.
Testimonials
What Our Clients Say
DigiXT stays ahead of the curve with the digital age.
Design is a way of life, a point of view. It involves the whole complex of visual commun ications: talen.t, creative ability manual skill.
Design is a way of life, a point of view. It involves the whole complex of visual commun ications: talent, creative ability and technical knowledge.
Design is a way of life, a point of view. It involves the whole complex of visual commun ications: talent, creative ability and technical knowledge.
Blog
Latest News
Why DIGIXT is the Best Enterprise Data Management Platform?
Fetching Polyglot Data is Cool, but How About Persistence?
An Essential Guide to Our Scalable Data Ingestion Platform
Embrace the new digital world by working with DigiXT to embark on a digital transformation journey.