DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Fivetran
Fivetran is a comprehensive data integration solution designed to centralize and streamline data movement for organizations of all sizes. With more than 700 pre-built connectors, it effortlessly transfers data from SaaS apps, databases, ERPs, and files into data warehouses and lakes, enabling real-time analytics and AI-driven insights. The platform’s scalable pipelines automatically adapt to growing data volumes and business complexity. Leading companies such as Dropbox, JetBlue, Pfizer, and National Australia Bank rely on Fivetran to reduce data ingestion time from weeks to minutes and improve operational efficiency. Fivetran offers strong security compliance with certifications including SOC 1 & 2, GDPR, HIPAA, ISO 27001, PCI DSS, and HITRUST. Users can programmatically create and manage pipelines through its REST API for seamless extensibility. The platform supports governance features like role-based access controls and integrates with transformation tools like dbt Labs. Fivetran helps organizations innovate by providing reliable, secure, and automated data pipelines tailored to their evolving needs.
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Cazena
Cazena's Instant Data Lake significantly reduces the time needed for analytics and AI/ML from several months to just a few minutes. Utilizing its unique automated data platform, Cazena introduces a pioneering SaaS model for data lakes, requiring no operational input from users. Businesses today seek a data lake that can seamlessly accommodate all their data and essential tools for analytics, machine learning, and artificial intelligence. For a data lake to be truly effective, it must ensure secure data ingestion, provide adaptable data storage, manage access and identities, facilitate integration with various tools, and optimize performance among other features. Building cloud data lakes independently can be quite complex and typically necessitates costly specialized teams. Cazena's Instant Cloud Data Lakes are not only designed to be readily operational for data loading and analytics but also come with a fully automated setup. Supported by Cazena’s SaaS Platform, they offer ongoing operational support and self-service access through the user-friendly Cazena SaaS Console. With Cazena's Instant Data Lakes, users have a completely turnkey solution that is primed for secure data ingestion, efficient storage, and comprehensive analytics capabilities, making it an invaluable resource for enterprises looking to harness their data effectively and swiftly.
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Centralpoint
Gartner's Magic Quadrant includes Centralpoint as a Digital Experience Platform. It is used by more than 350 clients around the world, and it goes beyond Enterprise Content Management. It securely authenticates (AD/SAML/OpenID, oAuth), all users for self-service interaction. Centralpoint automatically aggregates information from different sources and applies rich metadata against your rules to produce true Knowledge Management. This allows you to search for and relate disparate data sets from anywhere. Centralpoint's Module Gallery is the most robust and can be installed either on-premise or in the cloud. Check out our solutions for Automating Metadata and Automating Retention Policy Management. We also offer solutions to simplify the mashup of disparate data to benefit from AI (Artificial Intelligence). Centralpoint is often used to provide easy migration tools and an intelligent alternative to Sharepoint. It can be used to secure portal solutions for public sites, intranets, members, or extranets.
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