Understand data skew in Salesforce. Learn the types, common causes, and how to prevent this performance-impacting issue.
For example, in a columnar database, retrieving the value of a particular column across millions of rows can be much faster compared to a row-based database. This effort is due to the readability of the columnar storage format, which handles only required data columns, reduces disk I/O, a...
One notable evolution is Massively Parallel Processing (MPP). These database systems, much like Hadoop, use a distributed architecture to handle massive data volumes and queries in big data projects. In this article, we will explain what an MPP database is, how it works, its benefits, and t...
Data cleansing is a key part of the overalldata managementprocess and one of the core components ofdata preparationwork that readies data sets for use in business intelligence (BI), machine learning (ML), artificial intelligence and other data science or analytical applications. Data quality analys...
Data preparation is often referred to informally asdata prep. Alternatively, it's also known asdata wrangling. But some practitioners use the latter term in a narrower sense to refer to cleansing, structuring and transforming data, which distinguishes data wrangling from thedata preprocessingstage. ...
The ultimate guide to data visualization. Learn how to present data visually using data visualization techniques and best practices. Lots of examples.
Fast decision-making- Summing up data is easy and fast with graphics, which let you quickly see that a column or touchpoint is higher than others without looking through several pages of statistics in Google Sheets or Excel… or even a database or a CRM or CMS system. ...
2. Why is data visualization important? The importance of effective data visualization is rooted in the importance of data analytics in general. We’re living in an increasingly data-rich world; at the start of 2020, the digital universe comprised approximately 44 zettabytes of data. For perspect...
This type of database replication is commonly used in server-to-server environments. With snapshot replication, a snapshot of the database is distributed from the primary server to the secondary servers. Instead of continuous updates, data is sent as it exists at the time of the snapshot. ...
A series of processes ensuring data is uniformly stored and used. Database structures incorporate rules that enforce the presence of matching records in linked tables, preventing orphaned records and maintaining the consistency of the data across the database. ...