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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 IBM Db2 Big SQL?

IBM Db2 Big SQL serves as an advanced hybrid SQL-on-Hadoop engine designed to enable secure and sophisticated data queries across a variety of enterprise big data sources, including Hadoop, object storage, and data warehouses. This enterprise-level engine complies with ANSI standards and features massively parallel processing (MPP) capabilities, which significantly boost query performance. Users of Db2 Big SQL can run a single database query that connects multiple data sources, such as Hadoop HDFS, WebHDFS, relational and NoSQL databases, as well as object storage solutions. The engine boasts several benefits, including low latency, high efficiency, strong data security measures, adherence to SQL standards, and robust federation capabilities, making it suitable for both ad hoc and intricate queries. Currently, Db2 Big SQL is available in two formats: one that integrates with Cloudera Data Platform and another offered as a cloud-native service on the IBM Cloud Pak® for Data platform. This flexibility enables organizations to effectively access and analyze data, conducting queries on both batch and real-time datasets from diverse sources, thereby optimizing their data operations and enhancing decision-making. Ultimately, Db2 Big SQL stands out as a comprehensive solution for efficiently managing and querying large-scale datasets in an increasingly intricate data environment, thereby supporting organizations in navigating the complexities of their data strategy.

Media

Media

Integrations Supported

Cleo Integration Cloud
Cloudera
Cloudera Data Science Workbench
Google Sheets
Hadoop
IBM Cloud Pak for Data
IBM Db2
Kubernetes
Microsoft Excel
Microsoft Power BI
Qlik Data Integration
QuerySurge
SQL
Tableau
Toucan

Integrations Supported

Cleo Integration Cloud
Cloudera
Cloudera Data Science Workbench
Google Sheets
Hadoop
IBM Cloud Pak for Data
IBM Db2
Kubernetes
Microsoft Excel
Microsoft Power BI
Qlik Data Integration
QuerySurge
SQL
Tableau
Toucan

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/db2-big-sql

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

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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