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Monolithic vs. Microservices: a guide to application architecture
Businesses have two broad choices when it comes to rolling out technology stacks: deploy a single platform that combines many functions, or take a best-of-breed approach that uses microsystems to integrate discrete services from different vendors. What are the pros and cons of each approach?
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What is product intelligence? Your guide to a product intelligence platform
What product attributes make an offering more attractive to potential customers, and which features will make them stick around? What user-level insights can enable your marketing team to deploy more targeted customer campaigns? Which potential new product features should be prioritized to drive the most revenue? Product intelligence is the key to answering these and many other business-critical questions.
Modern Data Warehouse Architecture: Traditional vs Cloud Data Warehouse
Learn how a cloud-based data warehouse architecture is designed to address the limitations of traditional databases.
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Big Data in Finance – Your Guide to Financial Data Analysis
Learn how to apply big data solutions in finance with big data and cloud-based solutions that are transforming the industry.
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Data Lake Architecture – Best Practices Guide
The architecture of a data lake refers to the features that are included within a data lake to make it easier to work with the data.
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What is Data Profiling?
Tools and Examples
Learn how data profiling can help organize and analyze your data produce new insights and give you competitive advantage in the marketplace.
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What is iPaaS? What a Cloud Integration Platform Can Do for You
An integration platform as a service (iPaaS) is a managed solution for hosting, developing, and integrating cloud data and applications. The best iPaaS solutions include easy, graphic tools to help visualize and work with an overall business intelligence picture.
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What is Data Quality?
Definition, Examples, and Tools
Data is your organization’s most valuable asset, and that’s why you must have confidence in your data quality before it is shared.
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What is a Data Warehouse and Why Does It Matter To Your Business?
A data warehouse is a large collection of business data used to help an organization make decisions. It is the foundational component of business intelligence efforts. Learn how data warehouses work, how they are different from databases or data marts, why they are moving to the cloud, and more.
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What are Microservices?
Framework and Architecture Guide
A microservice is used to achieve a high degree of agility and scale for software development. Learn more about microservices and its best practices.
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What is Data Quality Management?
Free Guide & Examples
Learn why organizations should have a data quality management program in place to ensure they are working with the best data possible.
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Big Data in Marketing 101: Why it’s Important, Where it’s Going, and How to Get Started
Whether you are trying to improve customer loyalty and engagement, optimize your marketing performance, or make pricing decisions, big data in marketing has proven to be an indispensable tool.
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Cloud Integration 101
Cloud integration lets businesses connect data hosted on local servers to cloud-native data stores and applications. Cloud integration also provides a path to data analytics platforms, CRM systems, and other applications hosted by third-party providers. These include data warehouses such as Google BigQuery, Snowflake, Salesforce, AWS, and Microsoft Azure.
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Data Lake vs Data Warehouse
Data lakes and data warehouses are both widely used for storing big data, but they are not interchangeable terms. A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose.
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What is Data Integrity and Why Is It Important?
Data integrity is the accuracy, completeness, and reliability of data throughout its lifecycle.
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What is a Data Mart?
A data mart is a subject-oriented database that meets the demands of a specific group of users. Data marts accelerate business processes by allowing access to information in a data warehouse or operational data store within days as opposed to months or longer.
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What is Data Preparation?
Data preparation is the process of cleaning and transforming raw data prior to processing and analysis. It is a time consuming process, but the business intelligence benefits demand it. And today, savvy self-service data preparation tools are making it easier and more efficient than ever.
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What is Data Processing?
Data processing converts data in its raw form to a more readable format, to be interpreted by computers and utilized by employees throughout an organization.
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PCI DSS: Definition, 12 Requirements, and Compliance
The Payment Card Industry Data Security Standard (PCI DSS) is a set of requirements for securing information related to credit and debit card transactions.
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A Customer 360° Data Hub — What it is and Why You Need it
Many organizations are turning to 360° customer data hubs to keep the value of their data flowing, so it can reach its full potential.
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What is Data Obfuscation?
Data obfuscation is a process to obscure the meaning of data. The most common method of data obfuscation is data masking. Encryption and tokenization are other methods.
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How to Test a REST API?
With API Tester, you can visually create very complex scenario-based API tests following Test Driven Development (TDD) and even Behaviour Driven Development (BDD) principles.
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How to Automate REST APIs?
With API automation you can visually create complex scenarios to orchestrate your backend microservice API calls.
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How to Document a REST API?
The Talend API-First platform is composed of various modules covering API design, documentation, testing, automation, and data driven API deployment.
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