Data Warehouse Solutions Resources

Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Data Warehouse Solutions

Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.

Contents

Data Warehouse Solutions Articles

36+ Big Data Examples and Applications In Real Life

As companies rationalize their database management practices, more firms turn to big data to operationalize their business outcomes.

by Devin Pickell

25+ Data Warehouse Statistics IT Teams Need to Know in 2024

In today's era of big data, having a reliable storage solution and effective analytical tools is essential.While basic databases are adept at organizing information, a data warehouse offers both storage capabilities and powerful analysis tools, enabling you to process and transform data into valuable insights for decision-making.As businesses increasingly recognize the importance of data warehouses, the market for these solutions is experiencing rapid growth. Investing in a data warehouse solution can help your organization remain competitive in the data-driven landscape.We've compiled some statistics to provide further insights into this industry growth and the necessity for such solutions. So, let's dive in!

by Melanie Maggine

Introducing G2’s Latest Category: Data Warehouse Automation

The data warehouse software market is booming. According to a report by Yellowbrick, it is estimated that the size of this market will be over $30 billion by 2025.

by Preethica Furtado

Data Warehouse Solutions Glossary Terms

Data Lake Vs. Data Warehouse

A data lake stores unfiltered structured and unstructured data, whereas a data warehouse holds cleansed structured data. Learn about their differences.

by Sudipto Paul

Data Warehouse

A data warehouse is a central repository of information where data is stored and used for decision-making. Learn about its types and characteristics.

by Sagar Joshi

Data Center

A data center provides an infrastructure for shared access to multiple applications and data. Dive into data center best practices that help secure data.

by Sagar Joshi

Social Web

The social web encompasses web structures, services, and interfaces that support social interaction among people. Learn more about its types and benefits.

by Sagar Joshi

Data Modeling

Data modeling is the process of creating visual representations of information systems to better communicate the connections between data points and structures. Learn more about data modeling in this G2 guide.

by Amal Joby

Data Warehouse Solutions Discussions

Question on: Snowflake

How Snowflake supports ad-hoc queries?

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Just discovered G2, this question is 2 years old, however: Snowflake was designed to support ad-hoc queries of any kind. Its innovative architecture works particularly well with ad-hoc queries, because new compute resources can be spun up at any time to address ad-hoc queries without affecting the other operations that are happening on the database. Furthermore, all of the most common ad-hoc analytics tools (like Tableau, Looker, MicroStrategy, etc) connect directly to Snowflake, making it easy to analyze data with existing enterprise tool sets. See: https://www.snowflake.com/data-warehousing-glossary/what-are-ad-hoc-queries/

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Answered: Tino Bourboulas on January 12, 2020

Your answer

Question on: OpenText Vertica

Is it hard to learn to be a Vertica user? Admin?

User Friendly

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Also, check out the Vertica Academy: https://academy.vertica.com/ Free classes to learn how to admin Vertica, including certification.

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Answered: Paige Roberts on December 10, 2020

To be a user it is easy because all you need to know is SQL. To admin is also easy with a friendly GUI called Management Console. Vertica Index called Projection can be easily created automatically via a provided tool called Database Designer. In addition, in most cases when you define a column sort order in the CREATE TABLE statement, the default projection is good enough, so you don't need to create any index manually.

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Answered: Moshe Goldberg on July 4, 2020

See more answers (1)

Your answer

Question on: OpenText Vertica

What do I need to deploy Vertica for a trial/proof-of-concept?

Software Trial

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1) To download a free version of Vertica server go to https://www.vertica.com/try It will let you to install Vertica on up to 3 nodes, and store up to 1 TB of structured and semi-structured data. 2) To download all clients (also free) go to: https://www.vertica.com/download/vertica 3) After you download the bits read the installation instructions here: https://www.vertica.com/docs/10.0.x/HTML/Content/Authoring/InstallationGuide/Other/InstallingManually.htm For functionality tests one can omit the OS tuning and run the main 3 commands to start working immediately. On CentOS for example, as user root: A. rpm -Uvh Vertica_RPM_pathname_and_file_name B. Define where you want the DB and catalog to be located or create dir /data and /catalog C. /opt/vertica/sbin/install_vertica -s Your_node_IP -r vertica_file.rpm -u dbadmin -d /data -failure-threshold NONE D. /opt/vertica/bin/admintools -t create_db -s Your_node_IP -d Your_DB_Name -c /catalog -D /data E. As dbadmin user use VSQL GUI to start working: /opt/vertica/bin/vsql

Data Warehouse Solutions Resources

Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Data Warehouse Solutions

Data Warehouse Solutions Articles

36+ Big Data Examples and Applications In Real Life

25+ Data Warehouse Statistics IT Teams Need to Know in 2024

Introducing G2’s Latest Category: Data Warehouse Automation

8 Big Data Technologies On the Rise

The 4 Most Important Big Data Programming Languages

What Is a Data Lake and Why Is It Essential for Big Data?

Data Warehouse Solutions Glossary Terms

Data Warehouse Solutions Discussions

Data Warehouse Solutions Reports