Tuesday, May 17, 2022

Main features of Amazon Redshift

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Data warehouses are no longer new concepts for companies diving into digitization. Over time, more and more companies have moved from legacy platforms to cloud-based solutions that provide them with greater flexibility and scalability. By 2022, nearly every business process running across all major industries will be data-driven. From understanding your customers’ needs to assessing the profitability of your business, you need to store, manage, track and share data.

This is why the importance of data warehouses such as: Amazon Redshift is steadily increasing.

Amazon Redshift is a highly sought-after data warehouse that allows companies to store and analyze their datasets on a centralized platform to gain key business insights. The data warehouse helps users extract data from multiple platforms, convert it into a common format, and analyze it to create assessments that matter. It is a fully managed data warehouse from Amazon that is offered as a cloud service to organizations around the world.

When we say that Amazon Redshift is fully managed, it means that it frees users from performing a series of tedious activities that revolve around data maintenance, hosting and keeping the data warehouse running. The cloud-based data warehouse is compatible with various SQL-based tools and data intelligence applications commonly deployed by organizations across the board.

If you’re planning to move to the cloud for seamless data management with Amazon Redshift, here are some of the data warehouse’s standout features:

Distributed Design Approach (MPP)

Amazon Redshift uses a distributed design approach called Massively Parallel Processing (MPP). MPP means that multiple processors apply a “divide and conquer” to larger data tasks. Here, a larger processing task is separated into smaller tasks in an organized manner. These tasks are then distributed across a cluster of processors called compute nodes.

Instead of working sequentially, these processors complete their calculations simultaneously. This allows Amazon Redshift to greatly reduce the amount of time it takes to get a huge job done.

Column-based data orientation

As you manage your datasets, you can organize the data into columns or rows, depending on the nature of your workflow. In most cases, data is organized in several rows. This is because raw platforms allow users to run a large number of small processes at a faster pace. This approach, also known as Online Transaction Processing (OLTP), is regularly used by many operational databases.

On the other hand, the column-based orientation of data gives you faster speed while accessing large amounts of data. This is the approach Amazon Redshift takes to manage your database. In an Online Analytical Processing (OLAP) environment, such as Redshift, users typically run smaller queries against larger data sets. In such a situation, Amazon Redshift as a column-oriented database helps to perform large-scale data processing tasks without unnecessary delays.

Data encryption

When it comes to storing and managing data stored in the cloud, it is always important to ensure complete data privacy and security. Especially for organizations operating in sectors such as healthcare, finance and law, the smallest security breach can have long-term consequences.

Amazon Redshift ensures that your valuable data is protected at all times through end-to-end data encryption. This allows users to adhere to important data compliance regulations such as GDPR, CCPA, HIPAA, and more.

Redshift provides users with data encryption options that are powerful and customizable. These options have been kept flexible so that users can choose the standards that best suit their needs. By doing away with the conventional “one size fits all” approach, Amazon Redshift offers users greater freedom and personalization when it comes to securing their data sets.

Here are a few key features of the data encryption features offered by Amazon Redshift:

  • The data warehouse allows users to migrate data between unencrypted and encrypted clusters according to their requirements
  • It allows users to use customer-managed or AWS-managed key
  • Allows users to choose between AWS Key Management Service and the Hardware Security Module (HSM)
  • According to the scenarios faced by users, they are allowed to choose single or double data encryption

Seamless fault tolerance

Fault tolerance, as the name suggests, refers to the ability of a system to continue to operate effectively even after a few components fail. In the case of data warehouses, fault tolerance allows you to see how well a job can continue to run even if a few clusters or processors have gone offline.

Amazon Web Services (AWS) is known for tracking and monitoring its clusters 24/7. Whenever the nodes, clusters or disks fail, Amazon Redshift replicates your data again and automatically moves it to healthier nodes. This would prevent the system from experiencing serious problems and keep your activities intact.

Network isolation facility

If you’re looking for extra security for your business data, Amazon Redshift allows you to isolate your network with the data warehouse. By doing this, you can restrict network access to your organization’s clusters by enabling the Amazon Virtual Private Cloud (VPC). This would keep your data warehouse connected to your existing IT infrastructure, along with the privacy of IPsec VPN.

Concurrency Limits

Concurrency limits allow users to control the maximum number of clusters or nodes they can provision at any given time. These limits allow you to ensure that all users have sufficient computer resources. Amazon Redshift helps users democratize the cloud-based data warehouse through concurrency limits.

While Redshift’s concurrency limits are similar to most data warehouses, it gives users a little extra flexibility. In addition, it configures these limits based on different regions instead of applying one limit to each user.

The last word

These were some notable features of Amazon Redshift to keep in mind before moving to the cloud-based data warehouse. With the flexibility of the cloud and the credibility of AWS, Redshift ensures that you can manage your valuable datasets in a smooth and sustainable way.

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