Four Things to Consider When Choosing a Cloud Data Platform

 

When choosing a cloud data platform for your organization, it's essential to consider the capabilities you need. After identifying what you need in a data platform, you can begin screening and testing options. Here are four things to consider when choosing a cloud data platform.

 

First, consider Snowflake, a fully managed cloud data platform that provides flexibility, scalability, and performance. The platform enables you to power virtually unlimited concurrent workloads. It supports multi-cluster resource isolation and can scale to massively support your data management needs. Snowflake also has a range of data management tools that help you manage data governance. If you're a big data company, Snowflake is the platform for you.

 

It handles massive amounts of data, with its clients routinely storing 50 petabytes of data. Users can even analyze data in real-time using Cloudera's Sumo Logic, which tracks business analytics and catches security breaches. The platform is also designed to handle sudden influxes of data. The service offers three types of support, including technical, consulting, and managed service.

 

Another important feature of a cloud data platform is easy data management. Several options let you manage and customize the platform to your exact requirements. For instance, Autonomous Data Warehouse supports Oracle Analytics Cloud for easy integration. And, it supports popular BI tools and has built-in services for building machine-learning models. By providing a full set of tools, Autonomous Data Warehouse enables your organization to make better decisions in a faster and more efficient way.

 

Implementing Snowflake cloud data platform also allows enterprises to pay for what they need versus what they don't. The cost-benefit analysis for switching to a cloud data platform must consider the advantages and disadvantages of using it. For example, many CIOs find it difficult to predict peak usage for their enterprise and overprovision their data warehouses. The costs of overprovisioning data warehouses in the short term may outweigh the benefits of modernizing data resources.

 

A cloud data platform eliminates the need to piece together technologies, freeing resources and budget for other strategic initiatives. The platform can support multiple clouds and ingest unstructured and structured data. It can also scale as data needs evolve. A cloud data platform also helps organizations build a data lake and make it accessible to anyone, anytime. Finally, it can scale as business needs change. It's a platform that can support all of your data management needs and is the fastest way to modernize your data.

 

Modern data platforms put the end-user at the center. These platforms allow users to bring their data, develop their pipeline, and use the best of both worlds. Using a cloud data platform helps organizations make the most of their data and ensures minimal changes to legacy applications. Cloud-based platforms built on Hadoop are newer entrants to the market. MapR and Hortonworks run Hadoop as their core data processing platform and supplement it with proprietary software. Visit: https://en.wikipedia.org/wiki/Cloud_computing for more info on cloud computing.