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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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.

Description

Qlik Compose for Data Warehouses offers a contemporary solution that streamlines and enhances the process of establishing and managing data warehouses. This tool not only automates the design of the warehouse but also generates ETL code and implements updates swiftly, all while adhering to established best practices and reliable design frameworks. By utilizing Qlik Compose for Data Warehouses, organizations can significantly cut down on the time, expense, and risk associated with BI initiatives, regardless of whether they are deployed on-premises or in the cloud. On the other hand, Qlik Compose for Data Lakes simplifies the creation of analytics-ready datasets by automating data pipeline processes. By handling data ingestion, schema setup, and ongoing updates, companies can achieve a quicker return on investment from their data lake resources, further enhancing their data strategy. Ultimately, these tools empower organizations to maximize their data potential efficiently.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Pinot
Azure Data Factory
Azure Data Lake Analytics
Azure Data Lake Storage
Azure Databricks
Azure HDInsight
Azure Virtual Machines
BLUE Software
Clarity by Rego
Dasera
Gemini Enterprise Agent Platform Notebooks
Google Cloud Lakehouse
Immuta
JSCAPE MFT Server
Microsoft Azure
Microsoft Power Query
Pantomath
Rayven
Visual Studio

Integrations

Apache Pinot
Azure Data Factory
Azure Data Lake Analytics
Azure Data Lake Storage
Azure Databricks
Azure HDInsight
Azure Virtual Machines
BLUE Software
Clarity by Rego
Dasera
Gemini Enterprise Agent Platform Notebooks
Google Cloud Lakehouse
Immuta
JSCAPE MFT Server
Microsoft Azure
Microsoft Power Query
Pantomath
Rayven
Visual Studio

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/solutions/data-lake/

Vendor Details

Company Name

Qlik

Founded

1993

Country

United States

Website

www.qlik.com/us/products/qlik-compose-data-warehouses

Product Features

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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