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features
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support

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Description

Combine data silos effortlessly using Azure Data Factory, a versatile service designed to meet diverse data integration requirements for users of all expertise levels. You can easily create both ETL and ELT workflows without any coding through its user-friendly visual interface, or opt to write custom code if you prefer. The platform supports the seamless integration of data sources with over 90 pre-built, hassle-free connectors, all at no extra cost. With a focus on your data, this serverless integration service manages everything else for you. Azure Data Factory serves as a robust layer for data integration and transformation, facilitating your digital transformation goals. Furthermore, it empowers independent software vendors (ISVs) to enhance their SaaS applications by incorporating integrated hybrid data, enabling them to provide more impactful, data-driven user experiences. By utilizing pre-built connectors and scalable integration capabilities, you can concentrate on enhancing user satisfaction while Azure Data Factory efficiently handles the backend processes, ultimately streamlining your data management efforts.

Description

Delta Lake serves as an open-source storage layer that integrates ACID transactions into Apache Spark™ and big data operations. In typical data lakes, multiple pipelines operate simultaneously to read and write data, which often forces data engineers to engage in a complex and time-consuming effort to maintain data integrity because transactional capabilities are absent. By incorporating ACID transactions, Delta Lake enhances data lakes and ensures a high level of consistency with its serializability feature, the most robust isolation level available. For further insights, refer to Diving into Delta Lake: Unpacking the Transaction Log. In the realm of big data, even metadata can reach substantial sizes, and Delta Lake manages metadata with the same significance as the actual data, utilizing Spark's distributed processing strengths for efficient handling. Consequently, Delta Lake is capable of managing massive tables that can scale to petabytes, containing billions of partitions and files without difficulty. Additionally, Delta Lake offers data snapshots, which allow developers to retrieve and revert to previous data versions, facilitating audits, rollbacks, or the replication of experiments while ensuring data reliability and consistency across the board.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Spark
Ascend
IBM watsonx.data integration
Actian Data Observability
Alibaba Cloud
Amazon Redshift
Amazon S3
Amundsen
Databricks
Dell AI-Ready Data Platform
Evvox
Hackolade
Klera
Pantomath
SQL Server
Tableau
Trellix Data Encryption
Zipher
lakeFS

Integrations

Apache Spark
Ascend
IBM watsonx.data integration
Actian Data Observability
Alibaba Cloud
Amazon Redshift
Amazon S3
Amundsen
Databricks
Dell AI-Ready Data Platform
Evvox
Hackolade
Klera
Pantomath
SQL Server
Tableau
Trellix Data Encryption
Zipher
lakeFS

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/products/data-factory/

Vendor Details

Company Name

Delta Lake

Founded

2019

Country

United States

Website

delta.io

Product 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

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

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