Snowflake platform and consulting services

As a Select Partner of Snowflake, our suite of Snowflake services is designed to empower your business with advanced data management and analytics. With a focus on custom solutions ranging from data warehousing and advanced GenAI and machine learning models to data strategy and monetization, we're committed to transforming data into a strategic asset.

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A Snowflake Select Partner

As a Snowflake Select Partner, we've demonstrated our deep knowledge of the platform and a proven track record of successful implementations.

Snowflake Partner

Our work in action

Qubika partnered with a leading asset management firm, overseeing billions of dollars in assets, to revolutionize their data management, client engagement, and drive business growth.

We developed and integrated a unique data aggregation system to collect information from various applications in order to have a single source of truth.

To accomplish this we established a lakehouse in Snowflake that actively retrieves data from both S3 and Azure Blob Storage (the legacy warehouse). For the machine learning component, we connected SageMaker with Snowflake, enabling us to train and infer models to improve client engagement.

Outcomes achieved

  • Improved query performance: Significantly faster querying times provided rapid access to critical data.
  • Enhanced data accessibility: Data became more accessible to various internal stakeholders, promoting broader use for analytics and decision-making.
  • Increased data reliability: This led to more trustworthy insights and analysis.
  • Improved client relationships: The firm can deliver greater value, and drive continued growth through data-driven insights.
Our work in action

Our Services

Snowflake Platform Services

Qubika specializes in setting up data warehouses, data lakes, and data pipelines using Snowflake. Our services extend from streamlining data gathering and processing to addressing data quality and integration challenges. We typically initiate projects by tackling common data quality and integration issues.

Our refined Extract, Transform, Load (ETL) process efficiently transforms disorganized data into structured, valuable assets - this approach expedites the ETL process.

Once the data is clean and organized, we offer a range of options, from crafting visualizations and dashboards to employing Snowflake as an LLM database. We also enable the creation of sophisticated machine learning models using Snowflake’s Snowpark (often complemented by AWS' extensive machine learning services such as Amazon SageMaker).

The Qubika team provides invaluable support, guidance, and expertise in this critical phase of your data journey, whether it's building impactful visualizations or leading AI and machine learning initiatives.

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Our suite of Snowflake and data services

Our comprehensive suite of Snowflake services spans the entire data lifecycle, from architecture and implementation to ongoing optimization and support.

  • Data Strategy & Governance

    Data strategy & governance

    Our data experts will build an end-to-end data process for your organization, ensuring robust data governance and a clear strategy. We’ll focus on aligning your data initiatives with business goals, enabling seamless data usage, and ensuring compliance with regulations.

    This includes establishing data quality monitoring to maintain accuracy and consistency, implementing data discovery and classification to identify and protect sensitive information, and enforcing strict access control measures to prevent unauthorized data access.

  • Snowflake Data Engineering

    Snowflake data platform architecture

    Qubika's data platform architecture services leverage Snowflake's unique architecture to deliver high-performance, scalable, and cost-effective data solutions. We design and implement robust data pipelines optimized for your specific needs, including data ingestion, transformation, and loading (ETL) processes.

    By utilizing Snowflake's cloud-native architecture with its independent scaling of compute and storage resources, we optimize performance and cost efficiency. We leverage Snowflake's features like micro-partitions and clustering to further enhance query performance and optimize storage.

  • Data Monetization

    Data monetization

    Generate revenue or derive value from your data assets. We’ll work with you to leverage the data your organization collects, manages, and analyzes to create new business opportunities, products, or services. This includes building data products, enabling data sharing and exchange, and developing innovative data-driven solutions that can be monetized directly or used to enhance existing offerings and improve internal processes.

    We leverage Snowflake's secure data sharing capabilities to facilitate the monetization process. This allows you to securely share data with external partners, customers, or even create a data marketplace. By utilizing Snowflake's data clean rooms, you can collaborate with others on data-driven initiatives while preserving data privacy and security.

  • GenAI & Machine Learning

    GenAI & machine learning

    We blend the power of Snowflake with our industry-leading AI and machine learning capabilities. Our GenAI approach involves developing platform-agnostic LLMs that can predict trends, optimize operations, and personalize customer experiences. Leveraging Snowflake’s Snowpark and, where necessary, platforms like AWS SageMaker, we deliver scalable machine learning models that drive business outcomes.

    By utilizing Snowflake's built-in AI capabilities, including Snowflake Cortex, we’ll accelerate the development and deployment of your AI solutions. Cortex provides access to powerful LLMs and tools like Snowflake Copilot for streamlined code generation and Document AI for intelligent document analysis.

  • YouScience

    Success Stories

    Creating next-generation AI-driven services with YouScience and Snowflake

    Qubika is revolutionizing YouScience with groundbreaking neural network models and state-of-the-art generative AI app development. These pioneering neural network models are driving significant impact on key business products.

    The key elements of the solution included

    • ETL pipeline and data environment: After conducting a thorough data assessment, Qubika worked closely with YouScience to design and build a new Extract, Transform, Load (ETL) pipeline. This pipeline seamlessly integrated data from various sources into Snowflake. Additionally, Qubika created new data models and implemented a business intelligence tool to facilitate data management and analysis.
    • Enhanced data management: Qubika incorporated multiple data layers within Snowflake, enabling YouScience to improve their data management and storage capabilities.
    • Data visualization dashboards: To make the data more accessible and visually appealing, Qubika leveraged Domo, a data visualization platform. Through Domo, we created interactive and informative dashboards that presented key insights to YouScience’s stakeholders. These dashboards allowed for a deeper understanding of aptitudes, interests, and potential career matches.
    • Data transformation
    • Dashboard visualization
    • AI-powered insights
    • Machine learning enablement
    • AWS
    • Snowflake
    • Domo
    • Matillion

Highlights of our Snowflake services

Our focus on these key differentiators allows us to consistently provide exceptional value to our clients.

  • Deep qualified Snowflake expertise

    As a Snowflake Select partner, Qubika's services are rooted in deep platform knowledge and industry best practices. We have over 18 years of experience working in data and AI engagements.

  • Data security

    Qubika is SOC 2 Type 2 and ISO 27001 certified meaning your data security is ingrained in every step of the migration process.

  • Tailored approach

    We approach every engagement as a tailored journey, aligning with your organizational objectives, optimized for performance, scalability, and innovation.

  • Industry-leading client-centricity

    At Qubika we’re proud of having one of the industry’s highest net promoter scores. Our NPS of 82 is one of the highest among our peers, and reflects our highly customer centric approach to engagements.

FAQs

Everything you need to know about Snowflake

  • How can Snowflake improve my company’s data strategy?
    Very simplistically, Snowflake centralizes data storage, processing, and analytics. It provides the basis to streamline data pipelines, offering scalability, and ensuring data governance, ultimately enabling better decision-making and operational efficiency. Today, it’s at the heart of many businesses’ data and AI strategies.
  • What Snowflake services does Qubika offer?
    Our services extend from streamlining data gathering and processing to addressing data quality and integration challenges. We typically initiate projects by tackling common data quality and integration issues. Our refined Extract, Transform, Load (ETL) process efficiently transforms disorganized data into structured, valuable assets - this approach expedites the ETL process.

    We also have extensive experience crafting visualizations and dashboards, and employing Snowflake as an LLM database. We enable the creation of sophisticated machine learning models using Snowflake’s Snowpark.
  • Is Snowflake suitable for small enterprises?
    Yes, absolutely! Snowflake's scalability and performance are designed for both small and large enterprises, improving how they handle their data, supporting advanced analytics, machine learning, and AI.
  • How long does it take to implement Snowflake?
    Qubika approaches every migration as a tailored journey, aligning with your organizational objectives, optimized for performance, scalability, and innovation. Implementation time will depend on your specific circumstances and current data environment - reach out to us and one of our consultants will be able to provide guidance.
  • What are the key benefits of using Snowflake over traditional data warehouses?
    Snowflake offers scalability, real-time data processing, and seamless integration with various data sources, providing a modern cloud-based solution. Its architecture allows enterprises to handle large-scale data without the limitations of on-premise solutions, improving speed and flexibility. Snowflake also provides a very strong basis for building modern, AI-based solutions, which pull in data from various data sources.
  • How do Snowflake and Qubika handle data security and compliance?
    Snowflake ensures data security with encryption at rest and in transit, alongside robust access controls. It complies with major regulations like GDPR, HIPAA, and SOC 2, making it ideal for businesses with strict compliance requirements. Qubika is both SOC2 Type 2 certified as well as ISO 27001 certified, with deep experience working in highly regulated sectors.
  • Can Snowflake support AI and machine learning workflows?
    Yes, Snowflake's Snowpark enables data engineers, data scientists, and developers, to build data pipelines and machine learning workflows without needing to move data out of Snowflake. Its ability to process large datasets quickly makes it ideal for training models and applying AI to business processes. Here at Qubika we’ve also been leveraging the power of Snowflake’s Cortex AI to build business-centric GenAI applications for our clients.

Let’s work together

Get in touch with our experts to review your idea or product, and discuss options for the best approach

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