Your data is growing rapidly. Older systems can no longer keep up. They become slow. They are expensive. They tend to break down at critical moments.
That’s why many companies are turning to cloud based data management solutions. They are more affordable, more efficient, and more scalable.
This article discusses what cloud data management is. It also provides a brief overview of the best platforms.
Cloud Data Management
What Is Cloud Data Management?
Cloud data management refers to managing your data through cloud computing services. There are no big servers in your office, and you don’t have to buy any expensive hardware. Everything is in the cloud, and you can access it whenever you want.
The situation is completely different with data warehouses: traditional data warehouses have limitations, whereas cloud data warehouses are scalable as needed. Also, it integrates all your data. This includes your CRM, your ERP, your applications, and more.
Why Teams Are Making the Switch
This is not just a technological trend. It is a business strategy. Why businesses are turning to cloud data storage:
Reasonable. You pay based on usage, with no hardware or maintenance costs.
Faster report generation. Report generation time is reduced from hours to seconds.
Improved security. All premium software offers access control and encryption. Scalability. Want more computing power? Add it quickly. Want less? Scale it easily.
Real-time data. Access real-time data, not data from yesterday or the week before.
Less pressure on IT staff. They stop worrying about servers and start using the data.
The Top Cloud Data Management Platforms
Each platform works differently. Here’s a plain look at the top ones.
Snowflake
Snowflake is fast, easy to use, and scalable. It’s available on AWS, Azure, and Google Cloud. It’s compatible with all types of data. Snowflake can securely share data with business partners.
Its scalability is instantaneous. Need additional resources? Add them in seconds. Are you done? Scaling is automatic. You don’t have to pay more than you need. It’s a good choice for teams with uneven workloads.
Microsoft Azure Synapse
Synapse combines multiple components into a single solution.
- Data warehousing
- Big data solution
- Data integration tool
All this is combined on one platform. It works great with Power BI, Azure Data Factory, and other Microsoft tools.
If your company uses Microsoft technology, Synapse is a great option. ExistBI builds modern data warehouses in Azure environments.
Google BigQuery
BigQuery has no servers. Google itself handles everything from management to clusters. Queries run extremely fast. It has in-built machine learning capabilities.
Amazon Redshift
Redshift is a cloud data warehouse provided by Amazon. It is a solution for scalable tasks. It integrates beautifully with other tools on AWS. If your team is already using Amazon Cloud Services, this is a great choice.
Databricks
It is designed for heavy data processing and AI pipelines. It can process large datasets quickly. ExistBI uses Databricks, Snowflake, and Azure Synapse in Lakehouse implementations for its clients.
What Is a Lakehouse?
The lakehouse concept represents a new approach to cloud data management. Traditional data lakes collected all the data, but it was chaotically organized. Traditional data warehouses neatly organized data, but they had limitations. A lakehouse combines both of these approaches.
A lakehouse can be used to manage structured data. A lakehouse can also be used to manage unstructured data. All in one! Artificial intelligence professionals love this kind of approach.
How AI Fits In
Most cloud data management platforms now include AI. It’s no longer a separate tool. It works inside your data warehouse every day.
It does the following:
- Cleans data as it comes in
- Immediately identifies errors and gaps
- Uses your old data to make predictions
- Automatically speeds up slow queries
- Monitors compliance issues in real time
AI also builds predictive models. These use your past sales, customer behavior, and market data. They help you plan. Improved stock levels. Smarter sales targets. Reduced risk.
How to Pick the Right Platform
The right platform will depend on you and your data. Ask yourself the following questions.
How much data do you have? Choose a platform that can handle your data volume now and in the future.
What tools are you currently using? If Azure, then Synapse. If AWS, then Redshift. If Google Cloud, then BigQuery.
Do you need real-time data? Ensure the platform can stream data in real time. Just batch data is not enough.
What are your compliance requirements? Ensure the platform complies with industry regulations. Audit logs and access controls are important features to look for.
What is your budget? Platform pricing structures vary. Some platforms charge per query, while others charge per compute.
Common Mistakes to Avoid
Migrating to cloud data management is not a cut-and-paste job. Most teams make costly mistakes.
Some of these include:
- Copying messy data without cleaning it
- Choosing a platform based solely on cost
- Skipping a data governance strategy
- Neglecting to train the team on the new system
- Treating it as a one-time task
Get your planning right from the start. This will help you save money and effort.
Who Uses Cloud Data Management?
It can be used in various industries.
Retail: Regularly tracks sales and inventory. Detects trends before problems occur.
Finance: Helps identify unusual transactions quickly. Reduces losses due to fraud.
Healthcare: Consolidates patient information. Provides doctors with all the necessary details before they see a patient.
Manufacturing: Monitors equipment regularly. Ensures problems before they occur.
Logistics: Tracks product transportation and routing. Provides more efficient routes.
How ExistBI Can Help
Cloud data management requires the right solution and the right people behind it. More than 500 companies have successfully deployed modern data infrastructures with ExistBI. The company employs more than 312 professional data engineers. This firm handle everything from planning and design to construction, deployment, and maintenance.
Its experts are experts across major platforms. For example: Snowflake, Microsoft Azure, Databricks, Informatica, Google BigQuery, Amazon Redshift.
Its clients come from the US, UK, Canada, and Europe. ExistBI’s past clients include NASA, Pfizer, Costco, Johns Hopkins, and Johnson & Johnson.
ExistBI provides training for its clients. This means that your team will gain the necessary knowledge and skills.
Whether you need to build your infrastructure from scratch or improve your existing one, ExistBI will provide comprehensive support. Contact ExistBI now and let them know about your current situation. They will help you achieve your goals.
