xFusion Technologies

Accelerate time to insight from data at scale.

Data Pipeline Automation (DPA),

Xaqua-Composer

Simple. Powerful. Fast.

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Data Integration Video

xAQUA® Composer

An Innovation in Enterprise Data Pipeline Automation (DPA)

Keep the time, cost and risk for your data integration projects under your control using xAQUA® Composer. Compose, Deploy, Run, Test, Manage, and Monitor your data process lifecycle at scale – rapidly and efficiently. Do-it-yourself (DIY) using xAQUA® Composer – end to end data operations lifecycle tasks using self-service low code/no-code user interface-driven tools with automated deployment and CI/CD pipelines.

Empowering less technology savvy users for self-service data integration and analytics data preparation.

 

Enterprise Data Pipeline Automation

LISAis our recipe for innovating Enterprise DataOps.

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Efficiently Manage DataOps Lifecycle.

Under one platform.

Manage Operators and, Data Pipelines/DAGs with integrated repository for version control and automated CI/CD pipeline for continuous integration, testing and deployment. The xAQUA® Composer allow the Data Engineers to efficiently manage the end-to-end lifecycle of the Operators and the Data Pipelines using highly intuitive and efficient user interface.

Efficiently Manage DataOps Lifecycle

Rapidly Compose Data Pipelines.

Self-service drag and drop data pipeline composer for Apache Airflow.

xAQUA® Composer allows you to compose data pipelines for Apache Airflow using low code/no code drag and drop workflow editor as Directed Acyclic Graph (DAG). The python script for the DAG is automatically generated that you can deploy to an environment with few clicks.

  • Low code/no code Data Pipeline orchestration using Apache Airflow.
  • No Python coding required for Airflow DAGs.
  • 1000s+ of built-in operators .
  • Integrated Data Pipeline and Operator’s Repository and version control.
  • Built-in data pipeline templates for ETL and other data integration workflows.
  • Automated CI/CD.
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Speed and scale combined with flexibility and adaptability.

  • Self-service configuration driven drag and drop data pipeline.
  • Elastic infrastructure and platform architecture.

Powered By

Leverage the Power of Embedded Data Catalog.

Configuration driven Data Transformation and Processing

Our Metadata as a Service (MaaS) API delivers metadata for your enterprise data assets on-premise and on the cloud that are leveraged to automate Data Pipeline tasks including ingestion, transformation, testing, entity resolution, data loading and data sharing.

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Use Cases

  •  
    Self-service Data Pipeline Lifecycle Management
  •  
    Cloud Data Warehouse
    Integration
  •  
    Enterprise Analytics Platform
    (EAP)
  •  
    Manage Batch Process
    Lifecycle
  •  
    Low code/no code Data Sharing
    with partner systems
  •  
    Establish Multi-domain MDM Hub
  •  
    Conversion and Migration
    of Legacy Data

Self-service Data Pipeline Lifecycle Management

Self-service Data Pipeline Lifecycle Management

  • Create and configure self-service drag and drop data pipelines for ETL, internal batch processes, data sharing
  • Ingest data in a Data Lake.
  • Schedule and run data pipelines.
  • Monitor data pipeline processes in run-time.
  • Monitor and alert errors.
  • Analyze log for error analysis.
  • Error recovery

Cloud Data Warehouse
Integration

Cloud Data Warehouse Integration

  • Ingest data – create data ingestion pipeline using our drag and drop Data Pipeline Composer to ingest data as-is from multiple data sources to UDP Data Lake.
  • Transform Data – create data transformation pipeline to cleanse, curate, integrate and translate data using our drag and drop Data Pipeline Composer and load data to various on-premise and cloud data-warehouses such as Snowflake, AWS Redshift, Azure Data warehouse etc.

Cloud Data Warehouse Integration

Enterprise Analytics Platform
(EAP)

Enterprise Analytics Platform (EAP)

Change Data Capture (CDC) & Data Synchronization

You may have siloed operational systems across the enterprise, few are on premise, few are on the cloud and few are delivered as SaaS. The enterprise lacks a single integrated view of the data that can be used to create trustworthy actionable insight. An Enterprise Analytics Database can be a solution that will maintain an integrated 360 view of the operational data across the enterprise.

xAQUA UDP uses Graph Database platform to establish a 360 connected view of the data. This allows the power of connected data and data science to rapidly deliver actionable insight.

Change Data Capture (CDC) from multiple operational systems is the key capability for the Enterprise Analytics Database solution. Capture Change Data using our Apache Kafka Stream interface in real-time or near real-time using API pooling from external systems including Databases on premise, on the cloud and SaaS platforms such as Salesforce and apply the changes to another database. You can create a centralized Enterprise Analytics Database by capturing data from various operational systems and applying the updates from the transactions in the operational systems in real-time or near real-time. The Enterprise Analytics Database shall have integrated 360 view of integrated operation data that can be used to perform analytics enterprise wide and share the data to external partners.

Enterprise Analytics Platform

Manage Batch Process
Lifecycle

Manage Batch Process Lifecycle

Manage Batch Process Lifecycle

Low code/no code Data Sharing
with partner systems

Low code/no code Data Sharing with Partner Systems

  • Integrate data from multiple operational systems into one enterprise analytics database in batch, real-time and near-real time mode.
  • Establish Cloud Data Gateway – bring data from multiple operational systems on SaaS platforms (e.g. Salesforce, ServiceNow etc.).
  • Share data with partner systems – API Gateway and Data as a Service (DaaS)
  • Deliver the integrated to another on-prem or cloud data warehouse such as AWS Redshift, and Snowflake.

Low code/no code Data Sharing

Establish Multi-domain MDM Hub

Establish Multi-domain MDM Hub

  • Subject (Person, Population, Product, Organization) Centric” approach.
  • Integrate data from multiple external and internal systems in batch, real-time and near real-time mode.
  • Create 3600 view of connected master data, longitudinal temporal events, location and spatial data
  • Probabilistic entity resolution.
  • Establish Master Subject Index (MSI) e.g. Master Member Index and Master Patient Index,
  • Share data – Data as a Service (DaaS)
  • Perform Interactive visual analysis of master data, and events.

Data Pipeline for Master Data Hub

Conversion and Migration
of Legacy Data

Conversion and Migration of Legacy Data

  • Extract, cleanse, transform, and integrate data from multiple legacy operational systems.
  • Increase data quality and trust.
  • Deliver clean and integrated data to the modernized system.

Conversion and Migration of Legacy Data

Automated and Integrated to make xAQUA® UDP

Simple • Powerful • Fast

Simple
Powerful
Fast

Designed to improve productivity for all the DataOps Roles.

With Efficient Metadata Management, Data Catalog Embedding, Data Pipeline Automation (DPA), and Augmented Insight, xAQUA ® UDP improves productivity of all DataOps roles throughout the end-to-end DataOps lifecycle – Planning, Building and Operating.

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Designed to improve productivity for all the DataOps Roles

Accelerate Time to Insight from Data at Scale.

A Highly Experienced Team.
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