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What is DeltaMaster?

DeltaMaster is a sophisticated business intelligence tool tailored to assist organizations in analysis, planning, and reporting. Is it essential for every staff member to transform into a data scientist? Should everyone be able to articulate their insights alongside those of their colleagues? Is it necessary to explore the differences between correlation and causation in every meeting? DeltaMaster adopts a distinct perspective. The real power of data is realized through the establishment of clear specifications, identifying inconsistencies, and making quick adjustments to achieve goals. With DeltaMaster, organizations can let go of the impractical dreams of becoming data superstars and instead adopt a more pragmatic, evidence-driven method for performance management. In this innovative system, reports indicate poor performance with a red signal, while favorable outcomes are represented by a soothing blue hue. The era of being inundated with excessive reports, confusing graphs, and aimlessly sifting through data is over. DeltaMaster enables everyone to easily identify and understand the next necessary actions for achieving success, thereby cultivating a culture of informed decision-making and accountability. This transformative approach ensures teams are aligned and focused on what genuinely drives their objectives forward. Ultimately, DeltaMaster equips organizations to navigate their paths to success with clarity and purpose.

What is Delta Lake?

Delta Lake acts as an open-source storage solution that integrates ACID transactions within Apache Sparkâ„¢ and enhances operations in big data environments. In conventional data lakes, various pipelines function concurrently to read and write data, often requiring data engineers to invest considerable time and effort into preserving data integrity due to the lack of transactional support. With the implementation of ACID transactions, Delta Lake significantly improves data lakes, providing a high level of consistency thanks to its serializability feature, which represents the highest standard of isolation. For more detailed exploration, you can refer to Diving into Delta Lake: Unpacking the Transaction Log. In the big data landscape, even metadata can become quite large, and Delta Lake treats metadata with the same importance as the data itself, leveraging Spark's distributed processing capabilities for effective management. As a result, Delta Lake can handle enormous tables that scale to petabytes, containing billions of partitions and files with ease. Moreover, Delta Lake's provision for data snapshots empowers developers to access and restore previous versions of data, making audits, rollbacks, or experimental replication straightforward, while simultaneously ensuring data reliability and consistency throughout the system. This comprehensive approach not only streamlines data management but also enhances operational efficiency in data-intensive applications.

Media

Media

Integrations Supported

SAP HANA
SQL Server

Integrations Supported

Alibaba Cloud
Amundsen
Apache Spark
Arroyo
Databricks
Feast
IBM StreamSets
IBM watsonx.data integration
Informatica Cloud Application Integration
McGraw-Hill Connect
Onehouse
PuppyGraph
Secoda
Tableau
Tecton
Trellix Data Encryption
Upwork

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Bissantz

Company Location

Germany

Company Website

www.bissantz.de/en/software/

Company Facts

Organization Name

Delta Lake

Date Founded

2019

Company Location

United States

Company Website

delta.io

Categories and Features

Business Intelligence

Not specified

Categories and Features

Big Data

Not specified

Data Engineering

Not specified

Data Lake

Not specified

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