By now you've probably read the headlines that Qlik has completed its acquisition of Talend, and we're excited to expand our best-in-class capabilities to help you access, transform, trust, analyze and act on your data. You may have watched Mike Capone's QlikWorld keynote or the recent "Next is Now" webinar and wondered how you can take advantage of these new capabilities in your organization.
The number of data integration and quality scenarios we can adopt today is mind-boggling, but the list below describes seven everyday uses that pop up in most companies, regardless of size, industry vertical, or geography. By the way, the list below is not ordered by importance, market size or strategic focus. Also, these scenarios are not mutually exclusive and it is common for organizations to implement multiple use cases concurrently. So let's examine seven data integration and quality uses of Qlik and Talend.
1. Database to database synchronization
Database-to-database synchronization is the main use case for many at Qlik and Talend. Composition features provide great flexibility for any problem you want to solve. So whether you use basic data loading, real-time replication, or micro-batch updates, we have you covered. In fact, database-to-database is most often used to solve the following problems:
- Real-time data for reporting and analysis: Replicating data to a separate database or warehouse enables faster and more efficient querying and analysis of data without impacting the performance of the primary database.
- Real-time data integration: Replicating data between databases facilitates data integration between different systems or applications across the organization to ensure data is consistent and up-to-date.
- Legacy Modernization: Offload legacy data to new data stores to reduce OLAP costs and improve query performance.
- Cloud Data Movement: Copy data between on-premises data sources and cloud databases to enable new machine learning initiatives.
2. Data Warehouse Modernization
Our second use case focuses on data warehouse modernization, which refers to the automation of the design, deployment, and operation of cloud data warehouses. Data warehouse automation can speed time-to-market for new data warehouses, improve data quality, and reduce costs associated with manual administration. Qlik's secret sauce is intelligent data pipelines, which help organizations scale their data warehouse efforts more efficiently by automatically generating and pushing the necessary transformational SQL to the warehouse for execution.
3. Data Lake/Lakehouse Automation
No area of the data integration market has changed as much in recent years as data lakes. Therefore, there are multiple approaches to data lake implementation, and our combined portfolio can support any architecture. Our data lake automation solutions help you move enterprise data, transform data, and implement data governance policies to help you build data lakes for data analytics, machine learning, and artificial intelligence initiatives, whether your data lake is based on Hadoop, cloud objects Store or Databricks.
4. Database to stream/stream to database (or other destination)
Integrating databases with streaming infrastructure like Apache Kafka or Amazon Kinesis can help organizations gain insights from dynamic data and respond faster to changing business conditions. For example, a company might use a database to store customer data such as their name, address, and purchase history. They can then use streaming infrastructure like Kafka to process the purchase data generated in real time to highlight malicious behavior like fraudulent credit card transactions. Our data integration and quality solutions can synchronize database transactions with streams, and ingest data from streams, route them to any destination in virtually any format.
5. Data Quality and Governance
Accurate data is the lifeblood of any successful initiative that drives organizational excellence. Therefore, data quality is critical to any business process, especially:
- Data Analysis : High-quality data is essential for accurate data analysis.
- Customer Relationship Management : Accurate data helps businesses better understand their customers and provide superior customer service.
- Risk management : High-quality data can help businesses identify risks and take appropriate actions to mitigate them.
- Marketing : The right data can help businesses be more effective in their marketing efforts.
- Financial Reporting : Accurate data helps businesses generate accurate financial reports.
6. API Services and Workflows
An API is a middle layer that helps companies securely expose their application data and functionality to external third-party developers, business partners, and other company departments to encourage collaboration and drive innovation. The combination of Qlik and Talend enables you to create and use your own APIs for the following scenarios:
- Driving Collaboration: Creating Organizational APIs as Part of a Cloud-First Strategy
- Deliver innovation: Build new applications that leverage existing data and functionality through APIs.
- Control access: publish APIs that control the exchange of data between multiple parties
- Adopting a new architecture: creating "data contracts" as part of the data grid
- Automate: Automate business processes such as order processing, inventory management, and customer support
- Improve efficiency: Integrate different systems such as CRM, ERP, and e-commerce platforms
- Implementing reverse ETL: writing KPIs from the data warehouse back to the operating system
7. Operational Data Transformation
Our last category is Operational Data Transformation. This transforms raw data into a format that can be consumed by downstream processes such as electronic data interchange, data science or analytics. Typically, operational data transformation happens outside of the data warehouse or data lake, with the final files kept in object storage. For example, convert transaction records to HL7 files, CSV files to Parquet, and aggregate data sources to EDI-consumable formats. Our data integration and quality solutions include specialized functions for many common transformations that will help you quickly solve data exchange problems in industry-specific formats.
I think you'll agree that Qlik and Talend solutions are incredibly complementary, with expanded capabilities that will help you solve more business problems across your enterprise. Plus, Qlik is open to virtually any data source, destination, schema or methodology, ensuring your customers always have the data they want, when they need it. Finally, if your company needs to address one or more of the seven use cases, please feel free to contact us. We'd love to present you the industry's most comprehensive, agile, enterprise-grade data integration and quality solution.
The powerful data integration and data analysis capabilities of Qlik Sense can liberate employees and management from piled up and disorganized data. Saying goodbye to the traditional query-based linear data analysis, Qlik Sense obtains raw data from all corners of the enterprise, connects each piece of data with all other data through a unique correlation engine, forms a huge data network, and converts it into Information that anyone can access and explore, no querying, no waiting.
The curiosity and enthusiasm of human beings + the rigor and efficiency of artificial intelligence equals super insight, making the exploration of the digital world unlimited. Qlik Active Intelligence is committed to tapping human's natural intuition and turning perceptual insight into gold through machine intelligence.