Remove Columns Notes-on-NoSQL
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Data Modeling 301 for the cloud: data lake and NoSQL data modeling and design

erwin

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. But what exactly does NOSQL mean? Look at Figure 1 below.

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Data Modeling 101: OLTP data modeling, design, and normalization for the cloud

erwin

In fact, many current development efforts are opting for the newer, NoSQL databases (which I’ll cover in a subsequent blog, but are shown below in Figure 2 for context). For example, the NoSQL database MongoDB has documents and collections instead of tables and columns. Figure 2: Popular NoSQL database types.

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Five Reasons for Migrating HBase Applications to the Cloudera Operational Database in the Public Cloud

Cloudera

There are two things to note here when considering flexibility. First, COD provides both NoSQL and SQL approaches to querying data. Developers can choose three different modes of operation: key-value, wide-column, or relational wide-column using either our No-SQL client (Java APIs) or JDBC/ODBC.

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Visualize Amazon DynamoDB insights in Amazon QuickSight using the Amazon Athena DynamoDB connector and AWS Glue

AWS Big Data

Amazon DynamoDB is a fully managed, serverless, key-value NoSQL database designed to run high-performance applications at any scale. Table metadata, such as column names and data types, is stored using the AWS Glue Data Catalog. The scalability and flexible data schema of DynamoDB make it well-suited for a variety of use cases.

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Bringing transaction support to Cloudera Operational Database

Cloudera

NoSQL databases loosened one or more of these 4 properties to achieve dramatic improvements in scalability — Cloudera Operational Database (Powered by Apache HBase) was one such database. To compensate, we supported very wide tables (with potentially millions of columns). Preliminary performance results.

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Data Modeling 401 for the cloud: Database design for serverless data-bases in the cloud

erwin

Well, erwin offers a simple way to do that instead as shown below (note that I chose Snowflake this time): Figure 6: Creating a new data model for Redshift in erwin Data Modeler. Look just under the target selection circled in red, note the four check boxes currently disabled. Examples of bad database design choices.

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Benefits of Enterprise Modeling and Data Intelligence Solutions

erwin

This user also noted, “I use the automatic diagramming features a lot. an EDW architect/data modeler who uses erwin DM at Royal Bank of Canada, works on diverse platforms, including Microsoft SQL Server, Oracle, DB2, Teradata and NoSQL. We do conceptual data modeling, which is very high-level and doesn’t have columns and tables.