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What is Qlik Data Integration?

The Qlik Data Integration platform, tailored for managed data lakes, simplifies the provision of consistently updated, reliable, and trustworthy data sets essential for business analytics. Data engineers benefit from the adaptability to quickly integrate new data sources, ensuring effective oversight throughout each phase of the data lake pipeline, which encompasses real-time data ingestion, refinement, provisioning, and governance. This platform serves as a user-friendly and all-encompassing solution for the continuous ingestion of enterprise data into popular data lakes in real-time. By utilizing a model-driven approach, it supports the swift design, construction, and administration of data lakes, whether they are hosted on-premises or in the cloud. Additionally, it features an advanced enterprise-scale data catalog that allows for secure sharing of all derived data sets with business users, significantly enhancing collaboration and facilitating data-driven decision-making within the organization. This holistic strategy not only streamlines data management processes but also empowers users by ensuring that valuable insights are easily accessible, ultimately fostering a more informed workforce. The integration of user-friendly tools further encourages engagement and innovation in leveraging data for strategic objectives.

What is AWS Lake Formation?

AWS Lake Formation simplifies the creation of a secure data lake within a matter of days. A data lake functions as a centralized repository that is both curated and secured, allowing for the storage of all data types, whether they are in their original format or processed for analysis. By leveraging a data lake, organizations can break down data silos and integrate diverse analytics to uncover insights that lead to better business decisions. Nonetheless, the traditional approaches to setting up and managing these data lakes can be quite labor-intensive, complex, and lengthy. This includes tasks such as gathering data from multiple sources, monitoring data flows, setting up partitions, enabling encryption while managing keys, launching transformation jobs, and evaluating their performance. Moreover, it requires reformatting data into a columnar structure, eliminating duplicates, and ensuring related records are properly linked. Once the data is in the data lake, it becomes vital to enforce fine-grained access controls for the datasets and to maintain a comprehensive audit trail across various analytics and machine learning (ML) platforms over time. As organizations continue to prioritize data-driven strategies, the importance of efficiency and security offered by solutions like AWS Lake Formation grows significantly, making it an essential tool for modern data management. Ultimately, effective data lake management not only enhances operational workflows but also empowers organizations to harness their data for strategic advantages.

Media

Media

Integrations Supported

Amazon Redshift
APERIO DataWise
Amazon Web Services (AWS)
Cloudera
DataMarket
Google Cloud BigQuery
Google Cloud Platform
Infodesk
Microsoft Azure
ProjectVIEW ERP
Shapelets
Snowflake
TURBOARD
dataFactory
isorobot
jethro

Integrations Supported

Amazon Redshift
Amazon DataZone
Amazon EMR
Amazon SageMaker Feature Store
Collate

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Qlik

Date Founded

1993

Company Location

United States

Company Website

www.qlik.com/us/products/qlik-talend-data-integration-and-quality

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/lake-formation/

Categories and Features

Data Integration

Not specified

Data Lake

Not specified

Data Management

Not specified

Integration

Not specified

Categories and Features

Data Lake

Not specified

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