Meet the flexible xAQUA® platform learning a new era of data management. Explore limitless possibilities to manage and scale up your business securely.
xAQUA Composer delivers the necessary capabilities out-of-the-box for your data team to collaborate and compose, deploy, manage, and monitor data pipelines at scale without writing code and rapidly deliver reliable trusted data whenever needed and wherever needed.
Our Data Pipeline Automation as a Service (DPAaaS) is powered by integrated Metadata Knowledge Graph, Data Catalog Embedding, Data Quality Management, and Augmented Intelligence, xAQUA ® UDP is designed to increase productivity throughout the end-to-end Data Operations lifecycle – Planning, Building and Operating.
Compose and deploy your first data pipe line on Aproache Airflow on Day 1
Low Code/No Code Drag and Drop Composition of Apache Airflow DAGS
Visually configure your ETL/ELT operators to perform complex jobs without writing code
You can Drag and Drop all operators including Airflow, Providers, and Custom Operators from the Operator Registry.
Separate DAG orchestration from task processing. Out of the BoxSpark Jobs for ETL/ELT processes with massive volume of data.
Out of the box solution to pass massive volume of data from one task to the other. No more living with XCOM push restrictions.
Compose and deploy your first data pipe line on Aproache Airflow on Day 1
Low Code/No Code Drag and Drop Composition of Apache Airflow DAGS
Visually configure your ETL/ELT operators to perform complex jobs without writing code
You can Drag and Drop all operators including Airflow, Providers, and Custom Operators from the Operator Registry.
Separate DAG orchestration from task processing. Out of the BoxSpark Jobs for ETL/ELT processes with massive volume of data.
Out of the box solution to pass massive volume of data from one task to the other. No more living with XCOM push restrictions.
Detect the schema change impact automatically in design-time and run-time.
View data profile, enforce and ensure data quality in every step of data pipeline.
Our out-of-the box ETL solution automatically infers schema during design time and runtime and ensures the data integrity of your target database.
Ensure Quality of your Patient or Customer data while bringing data to the MDM Repository or target data stores/Data warehouses using our Probabilistic Entity Resolution UDF for
Apache Spark.
Know in minutes why your data pipeline broken, see the historic performance of pipelines, SLAs, detect anomalies and send alerts.
Detect the schema change impact automatically in design-time and run-time.
View data profile, enforce and ensure data quality in every step of data pipeline.
Our out-of-the box ETL solution automatically infers schema during design time and runtime and ensures the data integrity of your target database.
Ensure Quality of your Patient or Customer data while bringing data to the MDM Repository or target data stores/Data warehouses using our Probabilistic Entity Resolution UDF for Apache Spark.
Know in minutes why your data pipeline broken, see the historic performance of pipelines, SLAs, detect anomalies and send alerts.
Deploy Host, Apache Airflow and Spark Clusters on Kubernetes with few clicks.
Manage DAG Versions DAG automatically with integrated GitHub repository
Deploy DAGS on your environments with few clicks with our integrated and automated CI/CD pipelines.
Deploy Host, Apache Airflow and Spark Clusters on Kubernetes with few clicks.
Manage DAG Versions DAG automatically with integrated GitHub repository
Deploy DAGS on your environments with few clicks with our integrated and automated CI/CD pipelines.
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.
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.
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.
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.
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.
The xAQUA® Unified Data Platform (UDP) delivers trusted Live Data as a Product (LDaaP).
A team of data experts and an All-in-One Data Platform!
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