00:01
All right, so these are important considerations when choosing a data management or analytics tool for your organization, such as to break down to the key points in your question, starting with four.
00:10
All right, so we have type of data and analysis, so transactional versus real -time data.
00:15
If your data is mainly transactional, so sales and voices, customer orders, traditional data analysis tools may not work well, or may work well, sorry.
00:24
And these could include sql, databases, and structured reporting tools.
00:27
Next, unstructured data.
00:28
If your data is more diverse and includes real -time streaming from various sources like crm systems, cloud apps, customer feedback, and etc., a modern data architecture might be needed.
00:41
Tools that integrate with hadoop, spark, and nosql, databases would be appropriate for handling unstructured or semi -structured data at scale.
00:49
And understanding the structure of your data is essential to ensure the analytics tool can handle it effectively, whether it's structured and relational data.
00:59
Databases are unstructured like logs, social media, data, or multimedia.
01:03
Next, cloud versus on -prem versus hybrid...