Deliver Analytics Ready Data Fast with Trust!

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.

Multi-Cloud Data Pipeline to Extract, Load, and Transform (ELT) Data

Create, Deploy, and Run ELT data pipelines in minutes using drag and drop low code/no code pipeline composer in minutes at scale.

Self-service. Low Code/No Code. Business Savvy.

• Extract (E) data from virtually from any data store – on-premises and on the cloud platform: xAQUA®  Composer  provides out of the box connectors and operators to extract  data in real-time, batch and streaming mode virtually from any data sources.
• Load (L) Data to UDP Data Lake: Ingest the extracted data as-is using out-of-the box data ingestion operator to the UDP Data Lake.
• Transform (T) Data: Out-of-the box Operators allows you to perform virtually any type of data transformation using low code/no code configuration driven operators.
  • Blend data sets
  • Split Data sets
  • Sort and filter data sets
  • Calculate aggregates
  • Map Source to Target Data

Ensure Data Quality in Your ELT Data Pipeline

• Data Validation Operator
• Deduplication Operator
• Probabilistic Entity Resolution Operator
• Link and Load Operator to Load  Transformed Data to the Destination Data Store

Establish 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.

Share 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.

Acquire and Prepare Data for ML Model Training and Testing

Self-service. Low Code/No Code. Business Savvy.

Your ML Model is as good as your data. The quality and amount of data used to train your model directly define the performance of your ML Model. Acquiring and preparing clean and quality data for the specific ML Model use case is very intensive and highly time-consuming job.

xAQUA Composer provides low code/no code drag and drop user interface to create, configure, deploy and run pipelines to acquire and prepare datasets that can be used to train and test ML Models in minutes.

xAQUA Composer provides highly interactive user experience to configure and perform Data Ingestion, Transformation, Exploration, Profiling, Validation, Wrangling/Cleansing, Blending and Splitting Datasets with out write any code.

Machine Learning (ML) Data Pipeline

With xAQUA Composer, you can create, deploy and run a Machine Learning Data Pipeline Model Training, Model Evaluation, Model Testing, and Model Packaging in minutes using the low code/no code drag and drop user interface.

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.

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.

Low Code/No Code Data Wrangling Pipeline

Create Low Code/No Code Drag and Drop Data Pipelines to Prepare Your Data in Minutes.

xAQUA UDP allows you to perform various Data Wrangling tasks on a dataset such as merging, grouping, deduplicating, aggregating, filtering, text processing, translating, and concatenating, etc. for various purposes as follows.

• Prepare Dataset to train your ML Models
• Prepare Datasets to feed ML and Predictive Models
• Prepare Datasets for Analytics and Visualization
• Prepare Datasets to load to a Data Warehouse
• Perform exploratory data analysis

Low Code/No Code Data Profiling Pipeline

Create Low Code/No Code Drag and Drop Data Pipelines to Profile Your Datasets in Minutes.

Data Profiling is a critical step in data preparation often primarily in context to a specific business analytics use case. The profiling of a dataset is used to ensure the accuracy, completeness, and integrity of data in a dataset in context to an analytics use case.

With xAQUA UDP you can create low code/no code data pipeline to perform various types of data profiling on Datasets.

• Structure and Pattern Profiling: Profile Datasets to ensure the values in columns of a Dataset conforms to certain structural patterns. Examples include, Date, Zip Code, SSN, ICD, SNOMED codes etc.
• Value/Content Profiling: Profile Dataset to check for Nulls, range of values, value list, low and high values etc.
• Integrity/Reference Profiling: Integrity profiling may involve more than one Dataset/Tables and checks for referential integrity of the data as follows.
• Detect Identifying Key: Profile a Dataset to identify one or more columns that are potential identifying/key columns.
• Detect Foreign keys: Profile multiple Datasets/Tables to identify a column as a foreign key column