Most companies store a lot of their data in the cloud. Having all a company’s data in one place makes it easier for them to mine analytical information about the business using machine learning-based big data analytics. INFORMATICA: Cloud Data Management Provider for Enterprises is the solution for businesses looking for a way to store data.
Contents
- 1 What is Cloud Data Management?
- 2 INFORMATICA Features and Benefits: Cloud Data Management Provider for Enterprises
- 3 Values and benefits of cloud data management
- 4 Cloud data management for modern business
- 5 What are the challenges of cloud data management?
- 6 Best practices for managing data in the cloud
What is Cloud Data Management?
Cloud data management is a way to manage data on cloud platforms, rather than just storing it on-premises. The cloud acts as a data storage tier for disaster recovery, backup, and long-term storage.
With cloud data management, resources can be purchased as needed. Data can also be shared across private and public clouds, as well as in on-premises storage. The cloud-based data management system assumes the functionality of a traditional data management system tailored to the needs of the cloud.
While some platforms can manage and use data across cloud and on-premises environments, cloud data management assumes that data is stored on-premises and stored in the cloud. maybe subject to completely different data policies.
Data stored in the cloud has its own rules about data integrity and security. Traditional data management methods may not apply to the cloud, so a data management platform designed for the unique requirements of the cloud is critical.
As with cloud storage, the functionality of the cloud data management system will vary between providers, and the conditions are outlined in the service level agreement (SLA) between the provider and the user.
INFORMATICA Features and Benefits: Cloud Data Management Provider for Enterprises
Innovate with data and transform your business
Go beyond with your industry-leading cloud-based data management products and intelligent data services. Exploration of your data, access rights, import process, governance, democratization, and sharing will be done by data management software.
Data classification
In addition, the application allows you to intelligently discover, categorize and organize all your data to maximize data value and reuse and provides a metadata record system for business use.
Data Engineering
Build data pipelines at scale for AI and analytics in the cloud with powerful data integration, data quality, and streaming.
Data integration
Integrate all your enterprise data and applications, in batch or real-time, across multiple cloud and on-premises sources, with high performance, reliability, and global connectivity.
Data quality & governance
Ensure higher data quality and powerful, reliable governance across your entire organization with the only intelligent and automated solution in the industry.
Data security
Discover, categorize and analyze all your sensitive data intelligently and accurately. You can easily prioritize and remediate risks while providing the highest levels of transparency and data protection.
Total data management and 360 solution
Intelligently automate the creation of a single, comprehensive view of all business data important to your business with scalable multi-domain MDM and 360 solutions.
Lead your market
Seize opportunities before others spot them. Leaders choose Informatica for its unrivaled range of enterprise-grade data management solutions.
Values and benefits of cloud data management
As modern enterprise focuses more on cloud data management and new groups of data users such as business analysts, data scientists, special users emerge. That necessitates having the right tools and processes in place to manage all that data.
Cloud data management spans the data lifecycle from start to finish, from creation to decommissioning, and the data progression is controlled through each stage of its lifecycle. That helps reduce the risks and costs of regulatory noncompliance, legal trouble, and security breaches. It also provides access to data exactly when and where it is needed, without ambiguity or conflict, thus avoiding miscommunication.
With the right cloud data management tools and strategies, you can realize several benefits including:
Advanced analytics through improved integration and import.
Improve data security and data governance posture.
Improve data quality to avoid unnecessary problems.
Rapid data exploration and advanced metadata management.
Optimizing record maintenance and management system-wide for best quality.
Cloud data management for modern business
An effective cloud data management strategy is a must for a modern business, especially as organizations accelerate the adoption of cloud infrastructure, applications, and services. Whether you’re moving and synchronizing data across data systems, secure critical organizational and customer data. To help ensure high-quality data across systems or uncover insights into your business-critical data flows, you need to be able to handle any data request across any environment. The platform approach offers significant advantages as all core capabilities are under one unified umbrella, sharing a common data model.
What are the challenges of cloud data management?
Most of the challenges of cloud data management are the same downsides that are raised for cloud technologies. Some of the challenges include:
Cost problem: While the cloud is often marketed as an inexpensive data storage option, storing large amounts of data in cloud data lakes or cloud databases can be expensive.
Data export fee: Most cloud providers charge a data transfer fee if a customer decides to move data out of the cloud. These charges apply whether data is being migrated back on-premises or to another cloud. Data export fees are designed to discourage organizations from deleting their data from the cloud where it currently resides, and as such tend to be significantly more expensive.
Data integrity: Like on-premises replication data management platforms, cloud-based systems need a way to ensure integrity. This is usually about avoiding duplication and resolving conflicts between conflicting records and taking other steps to ensure data accuracy.
Security: While cloud security has improved dramatically over the past few years, ultimately each organization must establish data access policies to ensure that only authorized users can access it data.
Best practices for managing data in the cloud
Cloud data management is different from cloud storage, although cloud storage is a fundamental requirement for managing cloud data. Cloud data management is more about managing data integrity, data access, and data growth. Therefore, there are several experiences to consider:
Define project goals: The first step in any cloud data management project is to define what the organization hopes to achieve. Without clear goals, it’s not possible to deploy a cloud data management strategy tailored to your unique needs.
Decide which data sets will benefit from being moved to the cloud: While there may be cases where it’s necessary to move all-data to the cloud, it can be helpful to leave certain data sets in on-premises data centers. For example, a latency-sensitive application may need data near the application, which may preclude the use of cloud services.
Automate data protection: Many cloud providers back up data automatically, but if the provider’s data protection methods don’t comply with your company’s SLA, you need to implement your own automated data protection strategy.
Finding a cloud data management solution is essential for every business. So hopefully the article INFORMATICA: Cloud Data Management Provider for Enterprises will provide useful information for you.