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CLOUD DATA LAKE SOLUTIONS

Get Future-Forward Storage with Data Lakes & Warehouses

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What Are Cloud Data Lake Services & Cloud Warehouse Solutions?

Cloud data lake services provide organizations with a central repository for housing large amounts of raw data from multiple sources. Closely related, cloud warehouse solutions give organizations a place to store highly structured data that’s already been processed for specific purposes. 

Our data lakes and warehouses solution offers both types of scalable storage systems. Optimized for advanced analysis, reporting, and machine learning, our services deliver efficient data management and integration to help your teams make better, more well-informed decisions.

Business Implications
  • Streamline decision-making with real-time insights.
  • Boost efficiency through centralized data management.
  • Power innovation with predictive analytics.
  • Cut IT costs and scales effortlessly.

HOW WE HELP YOU

Cloud Data Lake Services & Cloud Warehouse Solution Essentials

For businesses ready to leverage cloud storage technology, our services help ensure efficient data management, compliance, and actionable insights.

Collect, transform, and deliver data in alignment with your unique business goals and use case requirements.

Our skilled engineers can develop according to your extract, transform, and load (ETL) and extract, load, and transform (ELT) data-processing needs.

Our solutions are constructed to deliver rapid data processing on demand.

Work with business and tech leaders to establish and maintain a single source of truth regarding the master data assets shared across your organization. Develop consistent identifiers and extended attributes in order to improve data quality and make it more reliable and accurate for analytics.

Enable secure data connections with your existing IT infrastructure, including ERP, data mart, OLAP cube, CRM, and e-commerce platform.

Tap into our deep expertise in analytics & visualization tools like Tableau and Power BI.

Maintain compliance with industry and federal data privacy and security regulations such as HIPAA, CFR Part 11, GDPR, and others.

To ensure compatibility and high performance, we leverage our partnerships with industry-leading technology providers. Our featured tech stack includes:

  • Microsoft Power Platform – for comprehensive data analysis and application development.
  • Azure Synapse – for limitless analytics service with unmatched time to insight.
  • Azure Data Factory – for seamlessly integrating various data sources.
  • Advanced visualization tools – including Tableau and Power BI for insightful analytics.

Diving into the Benefits of Data Warehouses & Data Lake Solutions

Comprehensive cloud data lake services and data warehouse solutions do more than store your data: they enable strategic performance and service delivery on a whole new level.

Accelerated Queries

Perform orders of magnitude faster than the systems of record when querying large aggregated data sets for analytical purposes.

Data Preservation

Retain valuable historical data – that would otherwise be lost to the source system of record – for longitudinal analysis and reporting.

Enhanced Decision-Making

Democratize data- and analysis-based decision-making with a user-friendly system that’s accessible to IT and business users alike.

Agile Analysis

Spontaneously run ad-hoc queries on data sets that span multiple systems of record quickly and accurately.

Real-Time Dashboards​

Use data insights from interactive dashboards to enable near real-time business monitoring. Address operational issues as they arise.

Comprehensive Insights

Extend analytical capabilities by using data lakes & warehouses to feed into existing assessments for deeper insights and strategic actions.

Insight

Data Lake vs Data Warehouse vs Data Fabric? Understanding Cloud Data Terms

Our shift to a digital world is fueling the creation of massive data reservoirs with almost unlimited potential. With this increase comes new data terms and technologies for managing and analyzing data.

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What Our Customers Say

“At Dianthus Therapeutics, we recognize the valuable role that Coretelligent plays in our ability to execute and meet the needs of our employees and partners. Their services provide a crucial foundation for our ability to grow and meet the needs of the company and our industry. Coretelligent’s expertise in helping with everything from security and compliance to our daily processes allows us to focus on our goals.”

“Coretelligent’s onsite engineers are extremely knowledgeable and always go the extra mile. We have been fortunate to work with a great team at Coretelligent over the last few years. They have been terrific assets in helping Smile Train work through some trying times. We consider them to be part of the Smile Train team.”

“Integral to the past and future success of our firm is our partnership with Coretelligent. Entrusting the entirety of our IT footprint to Coretelligent has created a multiplying effect for the business; we are realizing greater synergies, empowering our people to be more productive, and enhancing our abilities to protect our business and our clients’ data from ever-present cyber threats.”

Customer Stories

Let’s Talk About Your Data Lake & Data Warehouse Solutions

Tell us about the types of data you’ve got. We’ll build a scalable repository that’s tailored to your needs.

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FAQs About Cloud Data Lake Services & Solutions

Need help explaining cloud data lake services & solutions to a colleague or other stakeholder? Start here.

Cloud data lake services give businesses a modern way to store and manage vast data sets. Because the data storage is cloud-based as opposed to on-premise (i.e., housed on your company’s physical hardware infrastructure), it eliminates many of the capacity limitations associated with traditional data storage while also reducing up-front capital expenditures. 

Here’s an overview of some key benefits of cloud data lakes:

  • Scalable Storage – These services provide a platform that accommodates storing enormous amounts of data in its original format, whether that data is structured, semi-structured, unstructured, or a combination of these.
  • Flexibility – These services are designed to adapt to changing needs, allowing organizations to store data as it grows and evolves over time.
  • Advanced Analytics – Enables advanced data analysis, reporting, and machine learning, which helps your organization make better-informed decisions.
  • Cost-Effective Management – Offers cost efficiencies around increasing data volumes by optimizing storage and access.
  • Data Integration – Facilitates easy data management and integration, making it straightforward to extract valuable insights.

Cloud data lake services help streamline data collection and analysis by providing the tools businesses need to efficiently manage and utilize their data.

Cloud data lake services include a range of features designed to efficiently store, manage, and analyze data. These typically cover:

  • Massive Scalability – The ability to house petabytes of data, so storage can scale as needed as data volumes grow.
  • Diverse Data Storage – Support for various data types, including structured, semi-structured, and unstructured data, each in their native format.
  • Data Management Tools – Tools for cataloging, searching, and managing data within the data lake.
  • Security and Compliance – Robust security measures, including encryption and access controls to protect data and ensure compliance with privacy regulations.
  • Integration Capabilities – Easy integration with various data sources and other cloud services for data ingestion and analytics.
  • Analytics and Machine Learning – Built-in analytics and machine learning capabilities to derive insights and build predictive models directly from the data stored in the lake.

These components work together to provide a comprehensive platform for data storage, management, and analysis, enabling businesses to leverage their data for informed decision-making.

Cloud data lake services are versatile and can benefit a wide range of industries and organizations, particularly those that generate or use large volumes of data. Here’s how various sectors can leverage these services:

  • Healthcare – For managing patient records, research data, and improving patient care through analytics.
  • Financial Services –  Supports risk analysis, fraud detection, and personalized banking services with secure data management.
  • Retail – Enhances customer experience by making data available for analysis and action around personalized marketing, inventory management, and sales trends.
  • Manufacturing – Helps companies optimize supply chain management, monitors production quality, and forecasts demand.
  • Telecommunications – Supports managing call data records, customer data, and network performance data for better service delivery.
  • Energy – Facilitates consumption pattern analysis for operational efficiency and predictive maintenance.
  • Government – Improves public services through data-driven decision-making and policy development.
  • Education – Supports enhanced learning experiences and streamlined institutional operations.

These sectors benefit from cloud data lake services through the large data set insights they facilitate. With secure access to accurate, reliable data analytics, organizations can make better decisions about the people and industries they serve.

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