8 considerations when choosing your Cloud Data platform
Posted: Tue Jan 21, 2025 4:46 am
Learn 8 requirements that your Cloud Data platform should have and how it impacts your business.
Working with data to provide effective information in the various processes that the organization faces on a daily basis poses a fundamental requirement: that the data be available in a timely manner, in the appropriate form.
All of this falls within the logic of data-first , which has led the world to generate 79 zettabytes of data in 2021, 90% of which is information replicated for security purposes.
When we talk about processes, we are referring, for example, to performing data analysis (analytics), applying data science, or enabling different applications to generate certain responses, predict behaviors, discover relationships between phenomena, or boost business growth.
This data availability becomes more complex as the overseas chinese in canada data generated grows day by day, while the type of data diversifies, new tasks (workloads) and use cases are created.
Chief Data Officers: How to Increase Business Impact?
In these scenarios of increasing complexity, automation and simplification of methods for handling information is essential. Of course, the reliability and security aspects underlying the platform chosen are another essential factor to consider, especially if - as is the current predominant trend - we will be working in a cloud environment .
HubSpot BLOG
Global IT investment is expected to grow by 5 % in 2023 , while investments in cloud applications will make a notable difference, increasing by 11.3% .
Source: Gartner
So when we talk about data, we talk about cloud data .
Considerations for deciding
Let's look at some issues to consider when choosing that cloud environment.
1. Support for all data: Organizations work with both structured and unstructured or semi-structured data presented in different formats: JSON, XML, Apache Avro, Apache ORC, and Apache Parquet, among others, in addition to text, images, and videos. The goal is to ensure the possibility of securely storing, governing, analyzing, and sharing all these types of data , even those that circulate live during streaming activities.
Working with data to provide effective information in the various processes that the organization faces on a daily basis poses a fundamental requirement: that the data be available in a timely manner, in the appropriate form.
All of this falls within the logic of data-first , which has led the world to generate 79 zettabytes of data in 2021, 90% of which is information replicated for security purposes.
When we talk about processes, we are referring, for example, to performing data analysis (analytics), applying data science, or enabling different applications to generate certain responses, predict behaviors, discover relationships between phenomena, or boost business growth.
This data availability becomes more complex as the overseas chinese in canada data generated grows day by day, while the type of data diversifies, new tasks (workloads) and use cases are created.
Chief Data Officers: How to Increase Business Impact?
In these scenarios of increasing complexity, automation and simplification of methods for handling information is essential. Of course, the reliability and security aspects underlying the platform chosen are another essential factor to consider, especially if - as is the current predominant trend - we will be working in a cloud environment .
HubSpot BLOG
Global IT investment is expected to grow by 5 % in 2023 , while investments in cloud applications will make a notable difference, increasing by 11.3% .
Source: Gartner
So when we talk about data, we talk about cloud data .
Considerations for deciding
Let's look at some issues to consider when choosing that cloud environment.
1. Support for all data: Organizations work with both structured and unstructured or semi-structured data presented in different formats: JSON, XML, Apache Avro, Apache ORC, and Apache Parquet, among others, in addition to text, images, and videos. The goal is to ensure the possibility of securely storing, governing, analyzing, and sharing all these types of data , even those that circulate live during streaming activities.