Database management systems (DBMS)

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Databases vs. Data Warehouses vs. Data Lakes vs. Data Marts

This cheat sheet will help you better understand how each repository differs based on the type, purpose and quality of data. Plus, you’ll get an introduction to the features of data catalog software, a user-friendly metadata management system.

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Database management systems (DBMS) News

August 06, 2020 06 Aug'20
TigerGraph adds cloud support, helps standardize graph coding

With democratization of graph databases in mind, TigerGraph recently added support for Microsoft Azure and took steps to help standardize graph query language.
July 31, 2020 31 Jul'20
Subsurface event reveals what lies below the cloud data lake

Users at the Dremio-sponsored Subsurface virtual conference detail data lake efforts and trends, including the emerging Apache Iceberg project, originally created by Netflix.
July 30, 2020 30 Jul'20
Hasura Cloud launches GraphQL-as-a-service platform

Hasura made its GraphQL platform available as a managed service, enabling organizations to connect and query different data sources using the open source GraphQL language.
July 29, 2020 29 Jul'20
Rockset updates real-time indexing cloud database

Technology based on the open source RocksDB project is helping cloud database vendor Rockset improve scalability for real-time data applications that don't benefit from data lakes.

Database management systems (DBMS) Get Started

Bring yourself up to speed with our introductory content

4 tips to pick the right cloud database service

Before you migrate your data to the cloud, evaluate your cloud database options. Use these guidelines to choose the right database offering for your enterprise. Continue Reading
5 steps to select the best IoT database

Organizations should begin their search for the right IoT database by understanding their data, functional requirements and how the database will fit into their business strategy. Continue Reading
An enterprise architect's guide to the data modeling process

As volumes of both business and application data grow, organizations need a strict, three-phase data modeling process that keeps that data contained and manageable. Continue Reading

Evaluate Database management systems (DBMS) Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Metamorphosis of Kafka Confluent event streaming technologies

Kafka Confluent event streaming tools allow data managers, analysts and developers to capture, process, store, access and analyze data streams on the fly with precision. Continue Reading
How to choose the right database to fit your data model(s)

Choosing the right database for your enterprise applications can be a difficult process. Read on for some considerations on data platforms and model needs before making the choice. Continue Reading
How to select the right IoT database architecture

To choose the best database architecture for an organization's IoT initiative, IoT technologists must understand the basics of all the database options. Continue Reading

Manage Database management systems (DBMS)

Learn to apply best practices and optimize your operations.

Building a strong data analytics platform architecture

A strong analytics platform is key to meeting demands in a data-driven business. Read on for the key components your platform architecture should include. Continue Reading
When a DIY database management system design is the best fit

Learn how a combination of homegrown, off-the-shelf and open source tools, plus proper motivation, can yield a DIY DBMS that meets corporate expectations, needs and ROI. Continue Reading
Building a database application the DIY way

Business users experience the trials, tribulations and exultations of building a DIY DBMS, especially when IT expertise is not readily available or costs are too high. Continue Reading

Problem Solve Database management systems (DBMS) Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Common data lake challenges and how to overcome them

Managing the data contained in your enterprise data lake presents many challenges. From the amount of data to data inconsistencies, here are some solutions to common issues. Continue Reading
Oracle LEFT JOIN vs. LEFT OUTER JOIN: What's the difference?

Get an explanation of the different types of Oracle joins, including whether there's really a difference between the LEFT JOIN and LEFT OUTER JOIN syntax in PL/SQL. Continue Reading
10 cloud database migration mistakes to avoid

Database expert Chris Foot lists the top 10 oversights IT teams commonly make when undertaking a cloud database migration and offers tips on how to avoid them. Continue Reading