Azure Data Lake Description
Azure Data Lake offers a comprehensive set of features designed to facilitate the storage of data in any form, size, and speed for developers, data scientists, and analysts alike, enabling a wide range of processing and analytics across various platforms and programming languages. By simplifying the ingestion and storage of data, it accelerates the process of launching batch, streaming, and interactive analytics. Additionally, Azure Data Lake is compatible with existing IT frameworks for identity, management, and security, which streamlines data management and governance. Its seamless integration with operational stores and data warehouses allows for the extension of current data applications without disruption. Leveraging insights gained from working with enterprise clients and managing some of the world's largest processing and analytics tasks for services such as Office 365, Xbox Live, Azure, Windows, Bing, and Skype, Azure Data Lake addresses many of the scalability and productivity hurdles that hinder your ability to fully utilize data. Ultimately, it empowers organizations to harness their data's potential more effectively and efficiently than ever before.
Azure Data Lake Alternatives
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Technical capabilities include encryption at-rest and in-transit, four types of two-factor authentication, nine enterprise identity (SSO) integrations, configurable password and session policies, and a perfect “A+” score from Qualys SSL Labs.
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Teradata VantageCloud: Open, Scalable Cloud Analytics for AI
VantageCloud is Teradata’s cloud-native analytics and data platform designed for performance and flexibility. It unifies data from multiple sources, supports complex analytics at scale, and makes it easier to deploy AI and machine learning models in production. With built-in support for multi-cloud and hybrid deployments, VantageCloud lets organizations manage data across AWS, Azure, Google Cloud, and on-prem environments without vendor lock-in. Its open architecture integrates with modern data tools and standard formats, giving developers and data teams freedom to innovate while keeping costs predictable.
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AnalyticsCreator is a metadata-driven design application for data warehouse automation and data product engineering across the Microsoft data stack.
Its Governed Control Model connects business meaning, data structures, transformation rules, dependencies, lineage and technical implementation in one controlled project model. Data teams design the required architecture in AnalyticsCreator, then generate native Microsoft assets from that design.
Generated outputs can include SQL Server objects, SSIS packages, Azure Data Factory pipelines, supported Microsoft Fabric components, deployment artefacts and Power BI semantic models. AnalyticsCreator supports dimensional, 3NF and hybrid modelling approaches together with ingestion, transformations, delta loading, historisation, Slowly Changing Dimensions, snapshots and repeatable data-processing patterns.
Because generated outputs are native Microsoft technology, no AnalyticsCreator runtime is required in production. Organisations retain ownership of the resulting implementation and can integrate generated assets into Git, Azure DevOps and CI/CD workflows.
Lineage, documentation and dependency information remain connected to the design, helping teams understand change impact before regenerating affected assets.
Design Intelligence extends this governed project context into AI-assisted data engineering by providing authorised AI tools and agents with structured access to metadata, lineage, dependencies and design rules.
Typical use cases include enterprise data warehouse development, Microsoft Fabric adoption, SQL Server and SSIS modernisation, governed Power BI delivery and repeatable data product engineering.
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OneBlox
OneBlox utilizes an integrated scale-out Ring architecture that allows numerous appliances to function as a cohesive global file system. This Ring can comprise one or several OneBlox units, accommodating from a few terabytes to hundreds of terabytes of raw flash storage, or even scaling up to multiple petabytes with hard drives. As the demands for storage evolve, OneBlox provides remarkable flexibility; users can effortlessly introduce any number of drives, at any desired time, and in varying capacities to fulfill their storage needs. This expansion of the global storage pool occurs without the need for additional configuration and without any interruption to applications. Additionally, OneBlox stands out by supporting VMware and Hyper-V environments, which allows virtual machines the ability to leverage scale-out NFS datastores. Users can consolidate multiple NFS datastores within a single OneBlox Ring, scaling to hundreds of terabytes while benefiting from OneBlox’s sophisticated data reduction techniques. For those in need of exceptional performance, the OneBlox 5210 serves as an all-flash array designed specifically for consolidating resource-intensive virtual machines, ensuring optimal efficiency in high-demand scenarios. With its innovative features, OneBlox not only meets current storage needs but also anticipates future growth, making it a versatile solution for dynamic business environments.
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Integrations
Company Details
Company:
Microsoft
Year Founded:
1975
Headquarters:
United States
Website:
azure.microsoft.com/en-us/solutions/data-lake/
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Product Details
Platforms
Windows
Types of Training
Training Docs
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Azure Data Lake Features and Options
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