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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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 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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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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