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Srijan + Databricks

Maximizing data potential
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With Databricks and Srijan, Transform your data challenges into opportunities, empower yourself to unlock insights, accelerate innovation, and drive growth in the digital age.

We help a variety of Businesses leverage the capabilities of Databricks, the innovator behind the Lakehouse paradigm and a trailblazer in generative AI to empower their organization to realize the full potential of their data assets. Through their Data Intelligence Platform, we seamlessly integrate data, AI, and governance, enabling customers to efficiently scale data usage throughout the organization and facilitate the development of cutting-edge data products, including advanced analytics & generative AI.

Are you ready to embark on your journey to a modern analytics and AI ecosystem? Let's connect and discuss how Databricks & Srijan can help:

Implementing Databricks for customer data needs can have a significant impact across various aspects, including:

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Data Processing Efficiency:
It can streamline data processing workflows using Databricks, leading to faster data ingestion, transformation, and analysis which translates to quicker insights and decision-making for clients.
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Scalability:
Databricks' scalability help clients handle large and growing volumes of data without compromising performance.
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Real-time Analytics:
Databricks enables real-time analytics capabilities help clients in gaining instant insights from streaming data sources which is crucial for industries such as finance, e-commerce, and IoT, where timely decision-making is paramount.
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Cost Optimization:
Leveraging Databricks' pay-as-you-go model and resource allocation optimization helps clients reduce infrastructure costs while maximizing performance, particularly beneficial for optimizing cloud spending.
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Advanced Analytics and Machine Learning:
Databricks offers a unified platform for advanced analytics and machine learning, empowering IT services companies to deploy sophisticated models for predictive analytics, recommendation systems, and more.
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Data Governance and Security:
Using Databricks , Clients can implement robust data governance and security measures to protect sensitive data and ensure regulatory compliance, including access controls, encryption, and auditing.
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Collaboration and Knowledge Sharing:
Databricks' collaborative environment fosters innovation and knowledge sharing among data scientists, engineers, and business stakeholders, leading to more effective data-driven decision-making within client organizations.
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Customized Solutions:
Customers can tailor Databricks solutions to meet specific client needs, whether it's optimizing supply chain operations, enhancing customer engagement, or managing risk, delivering impactful solutions across various industries and use cases.

As a Databricks valued partner , Srijan can help clients unlock the full potential of Databricks and drive value from their data assets in several ways:

Consulting and Strategy:
Provide consulting services to assess clients' data needs, develop strategies for implementing Databricks, and align it with their business goals.
Migration and Implementation:
Help clients migrate their existing data infrastructure to Databricks, ensuring a smooth transition and optimal configuration for their specific requirements.
Custom Development:
Develop custom solutions and applications on top of Databricks to address specific business challenges and enhance data processing capabilities.
Training and Education:
Offer training programs and workshops to educate clients' teams on Databricks usage, best practices, and advanced analytics techniques.
Optimization and Performance Tuning:
Continuously monitor and optimize clients' Databricks environments to ensure optimal performance, scalability, and cost-efficiency.
Data Engineering and Pipeline Development:
Design and build data pipelines using Databricks to ingest, process, and transform data from various sources, enabling clients to derive valuable insights.
Advanced Analytics and Machine Learning:
Assist clients in implementing advanced analytics and machine learning solutions using Databricks, including predictive analytics, recommendation systems, and anomaly detection.
Data Governance and Security:
Implement robust data governance and security measures using Databricks to ensure data integrity, privacy, and compliance with regulatory requirements.
Support and Maintenance:
Provide ongoing support and maintenance services to troubleshoot issues, address technical challenges, and keep clients' Databricks environments up-to-date.
Integration with Other Systems:
Integrate Databricks with clients' existing systems and tools, such as data warehouses, BI platforms, and CRM systems, to create a seamless data ecosystem.

Shared Success

A Journey Towards High-Performance Data Architecture and Standardizing Deployment Practices

The Requirement:

To improve and enrich data quality, we revamped the existing data architecture of our client's flagship product and developed a modern dataops pipeline, across the legacy ETL ecosystem, which is used across diverse client engagements and deployment scenarios. 

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The Solution:

  • Adoption of databricks as the main platform for managing big data needs.
  • a centralized framework with configurable data factory, data bricks and data lake. 
  • easy onboarding of clients, where data experts can review the solution, and if necessary add/modify features and test it automatically. 

How we did it

We built a multi-site, multi-geography centralized platform in Acquia environment with Drupal CMS as base. This Integrated Digital Platform is built on a single code-based architecture, driven by a reusable component library. With this, migration at scale became a reality, as it offered uniform structure for all the sites with its layout builder, common editorial controls and 80+ reusable components.

Outcome

By centralizing the framework for data lake development, this solution allows for better control over new feature development and ensures minimal impact on the existing deployment. Learn More

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