Xorbix & Databricks: Transforming Data into Business Value

At Xorbix Technologies, Inc. our partnership with Databricks, Inc. empowers businesses to unlock the full potential of data and AI. By leveraging Databricks’ Data Intelligence Platform alongside Databricks Lakehouse, we deliver advanced AI solutions seamlessly integrated with your existing cloud infrastructure, ensuring efficiency and performance. Our Databricks certified engineers expedite your data engineering and analytics, enabling quicker and more effective deployment of AI and machine learning models. With Xorbix as your certified Databricks partner, you gain access to a powerhouse of tools that drive innovation, enhance operational efficiency, and unlock new avenues for growth through data-driven decision-making. Discover the Xorbix advantage with Databricks today and transform your data into a strategic asset for unparalleled business value.

Registered Consulting Partner

Xorbix Technologies, Inc. has partnered with Databricks, Inc. to provide analytics and AI solutions and services to customers using the Databricks Lakehouse Platform. This partnership will enable our customers to leverage Databricks to unify all their data and AI related projects for more meaningful insights.

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Our Databricks
Offerings

At Xorbix, our certified Databricks engineers harness the power of Databricks to transform your data into actionable insights and drive business growth. Our offerings are designed to navigate the complexities of data analytics, AI, and machine learning, ensuring your business remains at the cutting edge of technology.

Uncover the full potential of your data assets with our expertise in Databricks. We guide you through leveraging the high-performance Databricks infrastructure for cutting-edge AI, machine learning, and data analytics. Enhance your analytics with the Databricks Spark Engine, known for its unparalleled data processing speed, and benefit from the real-time data reliability of Databricks Delta Live Tables.

  • Practical AI and Machine Learning Enablement: Empower your business with AI-driven analytics and machine learning capabilities utilizing Databricks’ AI and Databricks Delta Live Tables for real-time data reliability.
  • Data Analytics Optimization: Maximize the effectiveness of your analytics with our fine-tuned Databricks solutions.

Migrate from on-premises storage to cloud-based solutions with ease, utilizing our tailored framework that simplifies the move to Azure Databricks, Google Cloud Databricks, and AWS Databricks. Our experts are dedicated to ensuring a secure, cost-effective transition that will amplify your data’s scalability and accessibility.

  • Secure Data Transfer: Safeguard your data during transfer with our robust security protocols.
  • Cloud Strategy and Execution: Develop and implement a cloud migration plan that’s perfectly aligned with your business objectives, all while making the most of Databricks architecture for a frictionless shift.
  • Pricing Strategy: Our knowledgeable team will help you determine which cloud provider is the best and most cost-effective fit for your needs by guiding you through Azure, Google Cloud, and AWS Databricks pricing.

Revolutionize your data strategy with our modernization services, utilizing the state-of-the-art Databricks architecture to unify and integrate disparate data sources. Transition into a future where Delta Lake Databricks becomes the backbone of your data operations, enabling robust analytics and AI capabilities.

  • Data Platform Architecture: Elevate your data strategy with a contemporary architecture that leverages the versatility and scalability of the Databricks Lakehouse, which harmoniously blends the best elements of lakes and warehouses.
  • AI Readiness: Prepare for the next wave of digital transformation by making your data landscape AI-ready, taking full advantage of Databricks AI tools and platforms for advanced analytics and machine learning.

Architect high performance, low-latency data pipelines that are finely tuned to feed into the Databricks Lakehouse Platform, leveraging the efficiency of Databricks Spark for lightning-fast data processing. Our solutions ensure that your data is not only accessible in real-time but also prepared for the sophisticated analytics that drive your business forward.

  • Streamlined Data Ingestion: With Databricks Delta Live Tables, automate and simplify the ingestion process, ensuring data accuracy and reliability across your pipelines.
  • Optimized Data Pipelines: Optimize your data pipelines for speed and reliability.

Modernize your data ecosystem with our Lakehouse implementation services, where the innovative Databricks Lakehouse architecture combines the flexibility of data lakes with the power of data warehouses. This approach ensures scalable analytics and AI-driven insights across your entire data landscape.

  • Cloud DBMS Implementation: Deploy a cloud-based Database Management System (DBMS) utilizing Delta Lake Databricks for seamless data management and integration. This strategy leverages Lakehouse’s architecture for optimized data storage and accessibility.
  • Advanced Analytics: Activate advanced analytics within your Databricks Lakehouse environment to unlock deeper insights. Our implementation enhances your ability to perform sophisticated data analysis, leveraging the full suite of Databricks analytics tools for unparalleled intelligence gathering.

Unlock the transformative power of generative AI with our expertise in Databricks Generative AI. We’re here to help you understand Databricks Generative AI fundamentals, exploring innovative applications that can revolutionize your business operations.

  • Natural Language Processing (NLP): Explore generative AI’s NLP capabilities on Databricks, perfect for creating sophisticated chatbots and automating customer service interactions.
  • Predictive Analytics: Harness Databricks MLflow alongside generative models to predict outcomes and trends with greater accuracy and detail.
  • Custom Generative AI Solutions: Our tailored solutions leverage Databricks’ architecture and Databricks Delta Lake for generating novel data patterns and insights, enhancing decision-making processes.

Discover the transformative power of Databricks for your data strategy—schedule your free demo today.

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Our Delivery Process

Our delivery process adapts the Agile Software Development Lifecycle (SDLC) to the specialized requirements of Databricks solutions, ensuring a flexible, iterative approach that’s optimized for seamless and efficient execution.

Our Delivery Process

Our delivery process adapts the Agile Software Development Lifecycle (SDLC) to the specialized requirements of Databricks solutions, ensuring a flexible, iterative approach that’s optimized for seamless and efficient execution.

Discovery

Establishes project objectives, evaluates data sources, and defines requirements to align with business strategy.

Design

Focuses on creating user-centric designs and planning system architecture, ensuring readiness for a seamless project launch.

Development

Converts designs into functional software, emphasizing adherence to coding standards and project goals for high-quality delivery.

Testing

Conducts extensive testing to verify software reliability and security, preparing the product for successful deployment.

Deployment and Integration

Carefully deploying the solution into the production environment, integrating seamlessly with Databricks’ Lakehouse Platform while ensuring minimal downtime and disruption.

Managed Services

Our managed services provide ongoing monitoring, maintenance, and updates to align with the evolving Databricks platform and your business objectives.

Industry Solutions

  • ·Predictive Maintenance:

Harness Databricks' analytics to predict equipment failures, reduce downtime, and extend machinery life, ensuring smooth operations.

  • Predictive Sales Forecasting:

Implement advanced sales forecasting using Databricks to accurately predict market demands, align production schedules, and manage resources efficiently.

  • Operational Efficiency:

Streamline operations with Databricks by analyzing data to eliminate inefficiencies, cutting costs.

  • Project Highlight:

Explore how we boosted a real estate companies' operational efficiency with Databricks, refining sensor data into insights. Learn More

  • ·Supply Chain Optimization:

Use Databricks for demand forecasting and inventory management, enhancing supply chain efficiency.

  • ·Worker Safety:

Enhance safety with AI-driven monitoring via Databricks, identifying hazards and ensuring compliance.

  • Integrated Data for Comprehensive Patient Views:

Leveraging Databricks, we empower healthcare providers to merge disparate data sources, offering a holistic view of patient health. This crucial integration supports more informed decision-making and the development of personalized treatment plans tailored to dynamic patient needs.

  • Operational Efficiency and Advanced Treatment Development:

Our application of Databricks streamlines healthcare operations, significantly reducing the time and resources required for data management and analysis. This not only enhances patient care delivery but also accelerates the development of new treatments and therapies through advanced research analytics.

  • Real-time Data Processing for Immediate Insights:

Utilizing Databricks, healthcare organizations gain the capability to process and analyze data in real-time. This is vital for patient health monitoring, especially in critical care scenarios, ensuring that timely interventions can be made for better health outcomes.

  • Risk Assessment & Predictive Modeling:

Develop sophisticated models that predict risks and personalize insurance offerings, ensuring policies are accurately tailored to individual needs.

  • Claims Processing Automation:

Streamline claims handling through automation, reducing processing time and improving customer satisfaction.

  • Customer Behavior Analytics:

Applying Databricks to analyze customer data, improving targeting, and personalizing insurance product offerings.

  • Regulatory Compliance Monitoring:

Using Databricks to ensure compliance with changing regulations through effective data management and analysis.

  • Enhanced Data Engineering:

Utilizing Databricks for robust data processing and engineering, improving the efficiency of technology development cycles.

  • AI/ML Model Development and Deployment:

Accelerating AI and ML model training and deployment using Databricks’ unified analytics platform.

  • Advanced Analytics for Product Improvement:

Implementing Databricks to gather insights from user data, driving technology product enhancements and innovation.

  • Real-Time Analytics for SaaS Applications:

Using Databricks to provide real-time analytics services in Software-as-a-Service (SaaS) applications.

Core Competencies

  • Machine Learning & AI

Leverage cutting-edge algorithms and techniques to unlock insights and drive innovation through advanced predictive modeling and AI applications.

  • Data Engineering

Architect scalable and reliable data pipelines to ingest, process, and transform large volumes of data, ensuring accessibility and integrity for downstream analytics and applications.

  • Analytics & BI

Empower decision-makers with actionable insights and intuitive visualizations, enabling data-driven decision-making and strategic business planning.

  • Unified Data Analytics

Create a cohesive data ecosystem that integrates diverse data sources and tools, providing a unified platform for seamless data discovery, exploration, and analysis.

Ready to Get Started? Talk to one of our Databricks Certified Engineers today! Learn More

Databricks Technologies

  • Databricks Delta Lake

Databricks Delta Lake brings structure and reliability to data lakes. It enables sophisticated data management and simplifies complex data pipelines.

Applications: Perfect for maintaining data integrity across diverse datasets and complex analytical environments.

Solutions: We implement robust, version-controlled data lakes with Delta Lake, enhancing data quality and analytics reliability.

  • Databricks MLflow

Databricks MLFlow manages the ML lifecycle, including experimentation, reproducibility, and deployment.

Applications: Ideal for projects requiring streamlined model tracking, experiment logging, and efficient deployment.

Solutions: Our Managed MLflow services simplify the ML lifecycle management, enabling faster, more reliable model deployment.

  • Databricks Unity Catalog

The Unity Catalog offers a unified governance solution for all data and AI assets, making data discovery and management secure and compliant across your Databricks environment.

Applications: Ideal for centralized data governance and security, ensuring compliance and streamlined access control.

Solutions: We integrate the Unity Catalog into your data strategy, simplifying governance across multiple workspaces and data sources.

  • Spark Structured Streaming

Structured Streaming is built on Apache Spark SQL and provides scalable and fault-tolerant stream processing capabilities. It enables users to express stream processing computations in a familiar SQL-like syntax.

Applications: Ideal for real-time data processing, continuous analytics, and building streaming pipelines for various use cases.

Solutions: We leverage Structured Streaming to enable seamless integration of streaming data into your analytics and machine learning workflows, ensuring timely insights and decision-making.

  • Databricks SQL Analytics

Allows quick SQL queries on data lakes and enhances data interaction through BI tools.

Applications: Enhances business intelligence operations, facilitating complex data analysis and scalable insights.

Solutions: We boost your BI capabilities with Databricks SQL Analytics, enabling rapid execution of complex SQL queries.

  • Databricks Workspace

Provides a collaborative environment for data teams to work on shared projects.

Applications: Supports collaborative workflows in data science and engineering, enhancing team productivity.

Solutions: Our use of Databricks Workspace fosters a collaborative environment, setting up multi-language notebooks and comprehensive dashboards.

  • Databricks Lakehouse Platform

The Databricks Lakehouse Platform unifies the benefits of data lakes and warehouses, facilitated by Delta Lake technology, to offer a comprehensive platform for all BI and ML projects.

Applications: Streamlines data management and analytics workflows, offering a cohesive experience for data scientists and analysts.

Solutions: By implementing the Databricks Lakehouse Platform complete with Delta Lake, we optimize your data environment for robust analytics and machine learning efficiency.

  • Databricks AutoML

Automates machine learning model selection and tuning, simplifying the ML process.

Applications: Accelerates model development and enhances feature engineering and model optimization.

Solutions: Our AutoML solutions streamline your ML projects, automating model selection and tuning for efficiency and effectiveness.

  • Databricks Photon

Databricks photon is a high-performance query engine optimized for speed on large datasets.

Applications: Key for performance-critical data operations that require rapid processing of vast amounts of data.

Solutions: Implementing Photon, we elevate your data workloads, ensuring high-speed processing and analysis efficiency.

  • Databricks Notebook

Interactive notebooks for collaborative data science, engineering, and ML projects.

Applications: Facilitates data exploration, iterative development, and the sharing of analyses and visualizations.

Solutions: We optimize Databricks Notebooks for collaborative project development, ensuring seamless integration of data analysis into business insights.

Databricks Technologies

  • Databricks Delta Lake

Databricks Delta Lake brings structure and reliability to data lakes. It enables sophisticated data management and simplifies complex data pipelines.

Applications: Perfect for maintaining data integrity across diverse datasets and complex analytical environments.

Solutions: We implement robust, version-controlled data lakes with Delta Lake, enhancing data quality and analytics reliability.

  • Databricks MLflow

Databricks MLFlow manages the ML lifecycle, including experimentation, reproducibility, and deployment.

Applications: Ideal for projects requiring streamlined model tracking, experiment logging, and efficient deployment.

Solutions: Our Managed MLflow services simplify the ML lifecycle management, enabling faster, more reliable model deployment.

  • Databricks Unity Catalog

The Unity Catalog offers a unified governance solution for all data and AI assets, making data discovery and management secure and compliant across your Databricks environment.

Applications: Ideal for centralized data governance and security, ensuring compliance and streamlined access control.

Solutions: We integrate the Unity Catalog into your data strategy, simplifying governance across multiple workspaces and data sources.

  • Spark Structured Streaming

Structured Streaming is built on Apache Spark SQL and provides scalable and fault-tolerant stream processing capabilities. It enables users to express stream processing computations in a familiar SQL-like syntax.

Applications: Ideal for real-time data processing, continuous analytics, and building streaming pipelines for various use cases.

Solutions: We leverage Structured Streaming to enable seamless integration of streaming data into your analytics and machine learning workflows, ensuring timely insights and decision-making.

  • Databricks SQL Analytics

Allows quick SQL queries on data lakes and enhances data interaction through BI tools.

Applications: Enhances business intelligence operations, facilitating complex data analysis and scalable insights.

Solutions: We boost your BI capabilities with Databricks SQL Analytics, enabling rapid execution of complex SQL queries.

  • Databricks Workspace

Provides a collaborative environment for data teams to work on shared projects.

Applications: Supports collaborative workflows in data science and engineering, enhancing team productivity.

Solutions: Our use of Databricks Workspace fosters a collaborative environment, setting up multi-language notebooks and comprehensive dashboards.

  • Databricks Lakehouse Platform

The Databricks Lakehouse Platform unifies the benefits of data lakes and warehouses, facilitated by Delta Lake technology, to offer a comprehensive platform for all BI and ML projects.

Applications: Streamlines data management and analytics workflows, offering a cohesive experience for data scientists and analysts.

Solutions: By implementing the Databricks Lakehouse Platform complete with Delta Lake, we optimize your data environment for robust analytics and machine learning efficiency.

  • Databricks AutoML

Automates machine learning model selection and tuning, simplifying the ML process.

Applications: Accelerates model development and enhances feature engineering and model optimization.

Solutions: Our AutoML solutions streamline your ML projects, automating model selection and tuning for efficiency and effectiveness.

  • Databricks Photon

Databricks photon is a high-performance query engine optimized for speed on large datasets.

Applications: Key for performance-critical data operations that require rapid processing of vast amounts of data.

Solutions: Implementing Photon, we elevate your data workloads, ensuring high-speed processing and analysis efficiency.

  • Databricks Notebook

Interactive notebooks for collaborative data science, engineering, and ML projects.

Applications: Facilitates data exploration, iterative development, and the sharing of analyses and visualizations.

Solutions: We optimize Databricks Notebooks for collaborative project development, ensuring seamless integration of data analysis into business insights.

Artificial Intelligence (AI) Tools and Frameworks

Python

Spark SQL

Scala

R

Spark ML

scikit-learn

XGBoost

LightGBM

Databricks MLflow

Hyperopt

TensorFlow

PyTorch

Spark Structured
Streaming

Amazon Kinesis

Apache Kafka

Delta Lake Databricks

Parquet

CSV

Databricks Unity Catalog

Model Registry

Feature Store

Databricks MLflow

AutoML

Allows integration with Tableau and Power BI

Blog

Case Study

Blog

Case Study

One Inc ClaimsPay Integration

March 27, 2024 No Comments

One Inc’s ClaimsPay integration is our major Midwest headquartered Insurance provider client’s ambitious electronic payment integration project.

Blog

Case Study

Blog

Case Study

One Inc ClaimsPay Integration

One Inc’s ClaimsPay integration is our major Midwest headquartered Insurance provider client’s ambitious electronic payment integration project.

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