If you have been curious about using the fastest platforms possible, being able to live collaborate with your employers, and having immediate access to all data and all users, then it is time for you to make the switch to cloud computing.
|On Premises EDW||1st Gen Cloud EDW||Data Lake, Hadoop||Cloud Data Platform|
|Easy to Use||✔️||✔️||✖️||✔️|
Whether it is a data warehouse, data lake, or data lakehouse, the benefits of modern technologies operating from the cloud dramatically transform any aspect of your business.
If we observe the current data-sphere and the changing world of the technology surrounding it, we can assess some common attributes of a modern cloud data platform. These needs include a single platform with a single copy for many workloads, secure and governed access to all the data, near unlimited performance and scale, and automatic and/or little maintenance.
Having a strategically built architecture of a single data source is possible even if the data is structured or semi-structured. These platforms can allow any party to make a transformation to the data and it be cohesive with all other instances.
The ease of navigating through a cloud platform allows all users, customers, suppliers, and business partners an equal understanding of the data. This step towards simple governance enhances the overall knowledge of the data and allows decisions to be made faster.
Since everything on these platforms are made to be constantly updated, there is no virtual limit to the scale of data that is used by your company. Along side this, the performance of the system is not damaged or slowed down by a large amount of users, data being stored, or ongoing projects.
Say goodbye to the stressful calls to IT, as cloud platforms automatically perform the service of updating. Past aspects of organizing and managing your data into databases now run themselves.
With the components of these cloud platforms adjusting to what their current users need, it is critical that these programs have an emphasis on integration between the stages of ingestion and management. The ease of this practice can accelerate the ingestion and transformation of the data. Learn more about data storage and processing.