Analytics Data Lake IT OLAP 
Jet Global
NOVEMBER 5, 2020
To enhance security, Microsoft has decided to restrict that kind of direct database access in D365 F&SCM and replace it with an abstraction layer comprised of something called “data entities”. For more powerful, multidimensional OLAP-style reporting, however, it falls short.
Jet Global
SEPTEMBER 4, 2020
Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Smart Data Collective
APRIL 2, 2019
Data Lakes are among the most complex and sophisticated data storage and processing facilities we have available to us today as human beings. Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation.
erwin
AUGUST 15, 2022
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. Analytical.
AWS Big Data
MARCH 7, 2023
This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. Data hubs and data lakes can coexist in an organization, complementing each other.
AWS Big Data
JUNE 21, 2023
This approach comes with a heavy computational cost in terms of processing and distributing the data across multiple tables while ensuring the system is ACID-compliant at all times, which can negatively impact performance and scalability. These types of queries are suited for a data warehouse. This is called index overloading.
AWS Big Data
MARCH 20, 2023
In this post, we share how Poshmark improved CX and accelerated revenue growth by using a real-time analytics solution. High-level challenge: The need for real-time analytics Previous efforts at Poshmark for improving CX through analytics were based on batch processing of analytics data and using it on a daily basis to improve CX.
Expert insights. Personalized for you.
98 
Let's personalize your content