Data Warehouse

As cloud computing grows in popularity and transforms how companies collect, use, and share data, it also becomes a more attractive target for would-be attackers and hackers. Learn about the top cloud data security challenges IT pros should pay special attention to.

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Data lakes and data warehouses are critical technologies for business analysis, but the differences between the two can be confusing. This article seeks to demystify these two systems for handling your data.

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Learn about different on-prem and cloud-based data warehouse solutions and the factors you should use to evaluate such as features, functionality, and use cases.

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Learn the key differences between SQL and NoSQL - or, relational databases and non-relational databases, and which database type you should choose.

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Learn about each of the three common methods of data replication and how to choose an option that works best for you.

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Data warehousing tools help you get all your data into one place, transform or enrich it, and then analyze it for important insights. Read on to learn more about the various types of tools that help make this complicated and important process possible.

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To better understand how architecture plays a role in determining the right data warehouse solution, learn how on-premise and cloud-based warehouses are built and the level of upfront investment in people and resources that are required.

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Understand the key differences and similarities between MySQL and MongoDB.

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Learn how on-premise and cloud data warehouses function differently from each other and the benefits each can provide to your business so you can arrive at the right solution.

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A data warehouse is a large-capacity repository that sits on top of multiple databases and is designed to handle a variety of data sources, such as sales data, data from marketing automation, real-time transactions, SaaS applications, SDKs, APIs, and more.

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Learn the differences between databases and data warehouses and how each serves a different function within an organization.

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Choosing the best database management system for your organization can be a complex process. In this article, you'll learn about the two types of databases: NoSQL (non-relational) and Relational Database Management Systems (RDBMS) and key differentiators between them.

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Choosing a modern cloud data warehouse can be tricky since they are all so similar. In this article, we will provide a guide of the factors you should use to evaluate such as use case, speed, cost, scalability, security and reliability. We’ll look at the most popular options: AWS Redshift, Google BigQuery, Snowflake, Azure, and S3.

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