Data Warehouse

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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There are three primary types of tools to consider when migrating your data to the cloud: on-premise, open source, and cloud-based. Learn more.

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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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When companies move their data and applications from their premises to the cloud, this process is called cloud migration. The process may involve moving all your applications and services, or it may take a slower approach where some applications are moved to the cloud, while others remain on-premise. This approach is called a hybrid migration.

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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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There’s a lot of buzz about moving to the cloud, but what are the real benefits? Let’s look a little more closely into the problems that migrating to the cloud can solve.

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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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Learn how Alooma can easily help migrate your Oracle database to any cloud data warehouse so you can avoid the pitfalls of doing it yourself.

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Migrating Oracle data to the cloud is a complex and lengthy process. In this post, we look at the process and dive into the method of using Oracle LogMiner, which provides a view into the database change log. This is what Alooma uses to continuously replicate all changes to your Oracle data.

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The advantages of migrating to the cloud are very clear and the industry is showing it. According to the IDC Worldwide Quarterly Cloud IT Infrastructure Tracker, deployment in cloud environments will increase by 18.2% in 2017 to $44.2 billion.

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