How to Solve Modern Data Challenges with AWS solutions

Hardik Shah
6 min readNov 2, 2022

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In today’s digital economy, companies are collecting and storing a huge amount of data, which can be both an asset and a liability. The new reality is that organizations are increasingly facing modern data challenges such as scalability, security, privacy and compliance.

To address these challenges, many companies are turning to AWS solutions that help them store and manage their data more effectively while reducing operational costs.

Data as a Service (DaaS)

Data as a Service (DaaS) is a cloud-based data platform that allows you to store, manage and analyze your data. DaaS is a solution that combines the best of cloud computing with the best of on-premises computing. It can be used to solve many modern data challenges.

Data that was once stored in local office servers or on personal laptops has now become extremely mobile, which means it can easily reside in multiple locations simultaneously. This may result in slower access times, or even no access at all due to inconsistent internet connection quality or security issues associated with using unsecured networks.

Thus, organizations need an infrastructure that supports mobility while maintaining control over their sensitive information at all times — and this is exactly what DaaS provides!

Moving data to the cloud

Moving data to the cloud is a process that can be completed in several ways. If you are working with large files, AWS provides a number of methods to transfer your data into the cloud.

You can use Snowball or Snowmobile appliances, which are portable petabyte-scale data transfer appliances that move large amounts of data into and out of AWS at very high speeds. You can also use AWS Import/Export Snowball for more cost-effective transfer needs when uploading smaller amounts of data onto servers in AWS.

Multi-cloud adoptions

You should consider a multi-cloud strategy to help you solve modern data challenges.

To implement a multi-cloud strategy, you can use AWS to deploy your applications on top of multiple cloud providers and easily move them between these providers as needed.

This gives you more flexibility in scaling up or down your operations across any number of clouds depending on the needs of your business and changes in demand for each service. It also allows for more cost-effective management of all physical resources as well as software licenses associated with them.

By choosing a multi-cloud provider that has industry best practices, such as having strong security controls and support from both major vendors like Microsoft and IBM, you will be able to scale up quickly without worrying about managing hundreds or thousands of disparate systems across many different vendors or providers — which would lead to IT complexity that could jeopardize productivity over time if not managed effectively by experienced professionals like those at Monitor Group Consulting Services Inc..

Analytics

Analytics is the process of collecting, organizing, and interpreting data to make better business decisions. For example, you can use analytics to optimize your supply chain management or optimize your sales strategy.

With AWS solutions for big data analytics, you can easily collect and organize large amounts of data from various sources in order to discover patterns that help improve business processes and understand how customers behave.

In addition to providing tools for analyzing data in real time, AWS offers a variety of pre-built machine learning services that help predict future outcomes based on past behavior patterns.

Some of these services are free while others require an investment at a later point but offer advanced functionality such as image recognition or natural language processing capabilities.

AWS customers can use DaaS through Snowflake connector

If you’re looking for more control over hosting and management of your data warehouse, Snowflake is a fully managed solution that allows you to integrate with AWS.

Snowflake Connector enables customers to easily move their existing data into the Snowflake Data Warehouse as it makes its debut on the AWS Marketplace.

With this connector, customers can easily transfer data from their AWS account into a secure, enterprise-grade cloud platform that delivers instant insights on any device. Customers can also use it periodically for transitioning new sources of data or migrating historical tables into an immutable partitioning scheme.

AWS partners like Informatica provide data integration and management tools

In addition to the full suite of cloud solutions that AWS provides, there are many partners who can help with specific needs. Informatica Cloud Data Integration offers a robust set of data integration tools that enable you to easily connect on-premises or cloud applications and systems with the right sources and destinations at scale.

This is important in order to ensure enterprise readiness as well as meet your business requirements today and tomorrow.

Last but not least, Informatica Cloud Data Quality offers an innovative approach to data cleansing and governance capabilities by leveraging machine learning algorithms along with natural language processing (NLP) technology within its clean up toolset called Informatica Lifecycle Manager for Big Data.

Bulk storage, archive, backup and disaster recovery via S3 Glacier Deep Archive

Across the globe, businesses are searching for ways to store, access and manage their data in a secure way. Many industries today face challenges with managing massive amounts of unstructured data, which is growing at an exponential rate.

Organizations are challenged by the need to keep this data available when they need it most while protecting it from cyber-attacks and regulatory compliance requirements.

The AWS S3 Glacier Deep Archive is designed for long-term storage of large amounts of data, making it ideal for backup and disaster recovery scenarios that require low retrieval latency over long periods of time (e.g., years).

As organizations look to store their digital assets securely on AWS, they also want them accessible when needed quickly without having to worry about cost or labor associated with retrieving them in a timely manner.

Organizations can leverage partner migration solutions to move data to AWS on-premises or get their data ready in AWS S3.

With AWS partner solutions, you can move your on-premises data to AWS for a smooth transition. The following partners provide tools to get data ready in AWS S3, move from on-premises to AWS, and more:

  • Amazon Web Services (AWS) partners provide migration and integration solutions that allow organizations to move their critical workloads from their current infrastructure or cloud provider onto the AWS Cloud. These partners also offer tools with which customers can prepare their data for movement into AWS S3 buckets or other services such as Amazon Redshift and Amazon Elasticsearch Service (Amazon ES).
  • Data Artisans is an open source software provider focused exclusively on helping users gain actionable insights from big data. Their flagship product is Apache Spark— the most widely used engine for large-scale processing of diverse types of data sets across various industries today — which they integrate with the iota platform as part of our partnership efforts.

Amazon Web Services provides solutions for all your cloud data needs.

AWS provides solutions for all your cloud data needs. AWS solutions include Amazon S3, Amazon Glacier, Amazon RDS, AWS Snowball, Amazon Athena and more.

Amazon Glacier is an extremely low-cost cloud storage service providing reliable long-term backup of infrequently accessed data with retrieval latency measured in hours rather than minutes or seconds like many other file services offer.

With Amazon Glacier you can store your data for as little as $0.004 per gigabyte per month ($26 per TB/month). You pay only for what you use when you need it — no upfront commitments or minimum fees required!

And there are no penalties if you delete some or all of your stored items from the archive before they’re needed again — even just before retrieving them from Glacier!

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Hardik Shah
Hardik Shah

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