Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Packagist serves as the primary repository for Composer, consolidating public PHP packages that can be installed via Composer. To define your project dependencies, you need to create a composer.json file located in the root directory of your project. Serving as the default repository, Packagist allows users to discover packages while informing Composer where to retrieve the corresponding code. Composer is essential for managing dependencies for your project or libraries effectively. A crucial initial step is selecting a unique package name, which is vital because it cannot be altered later and must be distinct to avoid future conflicts. The naming convention for a package includes a vendor name and a project name, separated by a forward slash (/), with the vendor name designed to help avert naming disputes. Your composer.json file should be positioned at the top level of your package's version control system (VCS) repository, serving as a descriptor for both Packagist and Composer about your package's details. Additionally, any new versions of your package are automatically retrieved based on the tags you create within your VCS repository, ensuring that updates are seamlessly integrated. This setup streamlines the process of package management and fosters better organization within your development workflow.
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
Yes
API Access
Has API
No
Integrations
BLUE Software
No
Bitbucket
Yes
EZConvertBI
No
GitHub
Yes
GitLab
Yes
Pantomath
No
QVANTUM
No
Rayven
No
Tenant
No
Integrations
BLUE Software
Yes
Bitbucket
No
EZConvertBI
Yes
GitHub
No
GitLab
No
Pantomath
Yes
QVANTUM
Yes
Rayven
Yes
Tenant
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Packagist
Website
packagist.org
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
No
Analytics
Yes
Data Integration
Yes
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No