This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Solution overview OnlineAnalyticalProcessing (OLAP) is an effective tool for today’s data and business analysts. This allows us to measure the performance of the database as opposed to its ability to serve results from cache. Additionally, we disabled query caching so that query results aren’t cached.
This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. This service is the core of this reference architecture on AWS and can address most analytical needs out of the box. Data subscription and access is fully managed with this service.
The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the OnlineAnalyticalProcessing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analyticalprocessing applications such as AI or BI solutions.
Amazon Redshift is a recommended service for onlineanalyticalprocessing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. Redshift Serverless measures data warehouse capacity in Redshift Processing Units (RPUs).
This includes the ETL processes that capture source data, the functional refinement and creation of data products, the aggregation for business metrics, and the consumption from analytics, business intelligence (BI), and ML. Establishing KPIs and benchmarking them helps measure progress and identify areas for improvement.
Nonetheless, many of the same customers using DynamoDB would also like to be able to perform aggregations and ad hoc queries against their data to measure important KPIs that are pertinent to their business. Deriving business insights by identifying year-on-year sales growth is an example of an onlineanalyticalprocessing (OLAP) query.
As a security measure, Microsoft is closing off direct database access to live Microsoft Dynamics ERP data. It updates a dedicated database against which you can perform reporting and analytics. In the world of Microsoft Dynamics 365, that option is going away, or at the very least, it will look somewhat different than it once did.
The optimized data warehouse isn’t simply a number of relational databases cobbled together, however—it’s built on modern data storage structures such as the OnlineAnalyticalProcessing (or OLAP) cubes. Cubes are multi-dimensional datasets that are optimized for analyticalprocessing applications such as AI or BI solutions.
First, we’ll dive into the two types of databases: OLAP (OnlineAnalyticalProcessing) and OLTP (Online Transaction Processing). To check if the distribution method you’ve chosen is reasonably distributed across your nodes, you can query SVV_TABLE_INFO and measure the skew of your table. So let’s dive in!
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content