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What is dataFactory?

Remove all manual processes, potential sources of error, and inefficiencies to streamline operations. Eliminate the necessity to frequently reconfigure your data warehouse with each change in business needs. Introduce automated quality checks both among and within data sources and ensure prompt responses to any arising issues, as this is crucial for many data users. It is vital to have complete confidence in your data today. Establish a "gold record" reference point that guarantees business teams can always access the latest information available. Create a single, unified version of the truth that is accessible anytime and from anywhere. Develop an intermediate model that organizes, stores, and maintains your data independently of its intended use. Be quick to adapt to changing data sources and business questions. Integrate all data sources—from data lakes and operational systems to spreadsheets and legacy applications—just as you did with the initial one. Ensure that data is stored, preserved, and improved in quality to facilitate the automation of data warehouse processes. Organize, enrich, and meticulously document your data so that it is readily available in well-structured datasets, often referred to as information marts. By doing this, you lay the foundation for more effective decision-making throughout the organization, ultimately fostering a culture of data-driven insights and innovation.

What is Cloudera Data Warehouse?

Cloudera Data Warehouse is an analytics platform designed for the cloud that enables IT teams to rapidly enable BI analysts with querying capabilities, allowing a swift transition from having no query options to being able to perform queries in just minutes. It supports all data types including structured, semi-structured, unstructured, real-time, and batch data, and is capable of scaling from gigabytes to petabytes based on user requirements. The solution integrates effortlessly with numerous services, such as streaming, data engineering, and AI, while ensuring a unified framework for security, governance, and metadata management across various cloud environments, whether they are private, public, or hybrid. Each virtual warehouse, which can be a data warehouse or mart, is independently configured and optimized to ensure that different workloads do not interfere with each other. Cloudera employs a variety of open-source engines, including Hive, Impala, Kudu, and Druid, supported by tools like Hue, to enable a wide range of analytical functions, from dashboard creation to operational analytics and the investigation of large-scale event or time-series data. This holistic methodology not only improves data accessibility but also significantly enhances the effectiveness of data analysis across multiple industries, ultimately driving better decision-making processes. Additionally, the platform's user-friendly interface allows analysts to focus on deriving insights rather than getting bogged down by complex technicalities.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Druid
Apache Hive
Apache Impala
Apache Kudu
Google Sheets
Hue
Microsoft Azure
Microsoft Excel
Microsoft Power BI
Qlik Data Integration
SQL
Tableau
Toucan

Integrations Supported

Amazon Web Services (AWS)
Apache Druid
Apache Hive
Apache Impala
Apache Kudu
Google Sheets
Hue
Microsoft Azure
Microsoft Excel
Microsoft Power BI
Qlik Data Integration
SQL
Tableau
Toucan

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

dFakto

Date Founded

2000

Company Location

Belgium

Company Website

www.dfakto.com/datafaktory-data-warehouse-automation/

Company Facts

Organization Name

Cloudera

Date Founded

2008

Company Location

United States

Company Website

www.cloudera.com/products/data-warehouse.html

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and 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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