Top Trending LinkedIn Posts about OLAP
Explore the most popular LinkedIn posts in the OLAP niche. Get inspired and create engaging content
Top Trending Linkedin Posts about OLAP
@antoniojpbernal
La popularidad de los líderes latinoamericanos en 2023 refleja un panorama diverso. Algunos han mantenido altos niveles de aprobación con políticas sólidas y
@eczachly
OLTP and OLAP data modeling and querying are fundamentally different!
OLTP:
- focused on latest state of data
- normalization and 3rd normal form
@mafreeman2
👇🏽 I've spent substantially more time writing this year, and it has been the best decision I've made for my data career. Here
@ravitjain
Want to know about different types of Databases?
Databases are the backbone of our digital world. They store and organise data in a way
@bigdatabysumit
All Data Engineers should definitely read these 10 posts..
1. From 0 to Hero in SQL - Follow this Plan
https://lnkd.in/dsnrQGhb
2. Crunching Big Data in
@aditi-gupta-aa7491156
Hello everyone,
👉Here are some commonly used Abbreviations in Data Analytics📊:-
📌 AQL - Annotation Query Language
📌 SQL - Structured Query Language
📌 CQL- Cypher Query
@alexxubyte
Why is PostgreSQL voted the 𝐦𝐨𝐬𝐭 𝐥𝐨𝐯𝐞𝐝 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞 by Stackoverflow 2022 Developer Survey?
The diagram shows the many use cases by PostgreSQL - one
@alexxubyte
What is a database? What are some common types of databases? The method to download the high-resolution PDF is available at the end.
@eczachly
Data modeling has two “flavors” that compete aggressively depending on your use case!
The first flavor prefers compactness, minimizing duplication and normalization. This
@alexandr-erofeev
📍 Why should every finance professional care about a chart of accounts?
Throughout my career, I've observed a common oversight among finance professionals: an
@bobby-gibson-
Are you puzzled by the sudden hotness of 'Semantic Layers'? Wondering where they came from and what they are? Analytics industry and semantic
@ravitjain
𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 is crucial for extracting valuable insights from your organisation's data. Here's a simplified explanation of key concepts:
- 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞: A
@aishwarya-srinivasan
Check out this free webinar coming up on 26th July! 🚀
This webinar discussion will focus on using AtScale and BigQuery to deliver speed-of-thought
@bigdatabysumit
All Data Engineers should definitely read these 10 posts..
1. From 0 to Hero in SQL - Follow this Plan
https://lnkd.in/dsnrQGhb
2. Crunching Big Data in
@hyperly.ai
icymi: hydro rush intense moisture mask won a 2023 Refinery29, Inc. beauty innovator award.
here's what deputy beauty editor Jacqueline Kilikita has to
@darshil-parmar
Learning Data Warehouse for Data Engineering (Quick Guide)
Everything you do as a Data Engineer i.e. processing data is most likely to get loaded
@katharina-koerner-privacyengineering
A shout-out to the amazing privacy engineering team at LinkedIn for applying a privacy-by-design approach for safeguarding our privacy when viewing posts while
@pooja-jain-898253106
Store and Sync your data with the cloud AWS, Azure, and GCP all these cloud providers offers a variety of storage and database
@danielalazar
What makes IBM Planning Analytics so special? 🤔
It all boils down to 1 thing: the cell-orientated structure of its database (#TM1).
Simply put:
@bigdatabysumit
All Data Engineers should definitely read these 10 posts..
1. From 0 to Hero in SQL - Follow this Plan
https://lnkd.in/dsnrQGhb
2. Crunching Big Data in