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Reasons to Use a NoSQL Database SQL is used to query a relational database, where data is organized into relations. But relational databases do not meet the needs of web-scale information systems—this is where NoSQL storage and retrieval information systems come in. Let's look at the differences between SQL and NoSQL and when you would use either. |
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Choosing a Search Engine Database A search engine database indexes data in addition to storing it, so users are able to search collections of data using keywords. The features here are common to most search engine databases, so when deciding which is best for your use, determine what factors are most important and pick one that prioritizes your needs. |
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Limitations of a Managed Cloud Database Service With the advent of cloud computing, several managed services for databases have become available. Whether to use a managed cloud database service from a cloud provider depends on several factors, and it may not be the best choice for everyone. Knowing the limitations can help you decide whether it makes sense for you. |
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Choosing between MySQL and PostgreSQL MySQL and PostgreSQL are the top two open source relational databases, and they have a lot in common. So how can developers choose between them? The application should guide the features that need to be prioritized. Here’s how the two databases compare with regard to the features that most relational databases support. |
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When to Use MapReduce with Big Data MapReduce is a programming model for distributed computation on big data sets in parallel. It's a module in the Apache Hadoop open source ecosystem, and a range of queries may be done based on the algorithms available. Here's when it's suitable (and not suitable) to use MapReduce for generating and processing data. |
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Trusting Your Data: Garbage In, Garbage Out Poor quality input will always produce faulty output. Improper validation of data input can affect more than just security; it can also affect your ability to make effective business decisions. Bad data can have impacts on how you make quantitative decisions or create reports, if you can’t trust the data you receive. |
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Migrating a Database? Consider These Factors First Database migration is usually performed with a migration tool or service. Migrating one database to another actually involves migrating the schemas, tables, and data; the software itself is not migrated. Whatever the reason for migration, before you start, explore the options and take these considerations into account. |
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Before Data Analysis, You Need Data Preparation One of the prerequisites for any type of analytics in data science is data preparation. Raw data usually has several shortcomings in structure, format, and consistency, so first it has to be converted to a usable form. These are some types of data preparation you can conduct to make your data useful for analysis. |
