All Research Sponsored By:Qlik
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What To Look for in a Data Integration Solution
In business today, it's vital to get data to users fast. But with more data and more complexity than ever before, that task can feel like a moving target. Download the Data Integration Buyer's Guide: What to Look For in a Data Integration Solution to see a list of everything you'll want to consider.
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3 ways to increase your data lake ROI
In this e-book, you'll discover how to accelerate your data lake ROI with real-time data pipeline automation, automated data transformation, and a smart data catalog for trusted, governed data. Read the full white paper now to learn more.
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5 Reasons Qlik and Snowflake Are Better Together: Automating the Data Warehouse for Faster Time-to-Insight
In this e-book, you'll discover how Qlik and Snowflake work together to modernize data architecture and accelerate time-to-insight. Read on now to learn about automating the data warehouse, empowering business users, and scaling analytics.
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Comparison Guide: Data Lake vs Data Warehouse 6 Key Benefits of Each
This e-book explores the key differences between data lakes and data warehouses. Inside, you'll learn about the 6 core benefits of each, top cloud solutions, and how to accelerate data delivery with Qlik. Download the e-book now to discover which data platform is right for your business.
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6 Data Integration Reference Architectures for Business Acceleration
In this e-book, you'll discover how Qlik Data Integration enables real-time insights, data speed and scale, and flexibility to accelerate your business. You'll also learn about 6 reference architectures for data warehouses, data lakes, data lakehouses, event-driven data, and data mesh. Read on now to explore the advantages.
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7 Data Integration and Quality Use Cases
In this e-book, you'll discover how Qlik Talend's comprehensive data integration and quality solutions can address a wide range of modern use cases, from database synchronization to data warehouse modernization. Read on to learn how you can gain trusted data and unlock valuable insights.
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Reverse ETL Explained: Closing the Loop with Qlik Application Automation
Reverse ETL can help close the loop between your data warehouse and frontline business applications, enabling data-driven actions that improve customer experiences and boost productivity. Access this white paper now to learn how.
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Top Cloud Data Warehouses for the Enterprise: Amazon vs. Azure vs. Google vs. Snowflake
This buyer's guide compares the top cloud data warehouses - Amazon Redshift, Azure Synapse Analytics, Google BigQuery, and Snowflake. Inside, you'll learn about their features, architecture, and which one may be right for your enterprise. Read the full guide now to help your organization make an informed decision.
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Data Integration Success Stories: 12 Solutions to the Top Data Delivery Challenges
Enterprises across industries are streamlining data pipelines with Qlik's Data Integration Platform. In this e-book, you'll learn how companies like Generali, USAA, and Fanatics accelerated data delivery, scaled data volumes, and improved data access. Read the full case studies now to learn how you can overcome top data integration challenges.
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Cloud Data Lake Comparison Guide
This e-book explores the top cloud data lake solutions from AWS, Google, Microsoft, Cloudera, Databricks, and Snowflake. Inside, you'll learn how these platforms compare in features like storage, processing, security, and analytics. Download this comprehensive comparison guide now to find the right cloud data lake for your enterprise.
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Transform Data In Your Cloud Warehouse
In this e-book, you'll find out how you can modernize your data warehouse with automated, no-code pipelines that accelerate data delivery, increase accuracy, and reduce costs. Read the full e-book now to discover the potential benefits for your business.
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The Definitive Guide to Data Quality
This comprehensive guide explores factors that contribute to creating high-quality data and offers guidance on how enterprises can ensure their data meets high standards. Download the white paper now to learn how you can prioritize data quality and unlock its full potential.
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Maximizing Data Value in the Age of AI
This white paper explores how data products can help organizations maximize the value of their data and accelerate business outcomes while enhancing data trust and governance. Read on to learn how you can build effective data products and a federated data strategy to drive strategic business success.
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Automating Data Lake Pipelines for AI
Automating data lake pipelines can help deliver accurate, model-ready data for AI initiatives faster. In this e-book, you'll learn how to build AI-enabled pipelines that automate ingestion, quality checks, processing, and storage optimization. Read on now to discover key considerations and steps for success.
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Supercharge Your Databricks Lakehouse
With real-time data ingestion and analytics-ready data delivery, you can supercharge your Databricks Lakehouse. Read this e-book now to find out how you can automate your entire data pipeline to reduce risk, boost ROI, and free your data engineers.
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The 6 Principles of AI Ready Data
In this white paper, you'll find out how to establish a trusted data foundation for AI with 6 key principles: data must be diverse, timely, accurate, secure, discoverable, and consumable by machine learning and large language models. Read on now to learn how you can unlock your organization's AI potential.