AWS Announces Amazon Redshift ML, A Cloud-based Service For Data Scientists

Recently at the AWS re:Invent event, the e-commerce giant announced the launch of Amazon Redshift Machine Learning (Amazon Redshift ML). According to its developers, with Amazon Redshift ML data scientists can now create, train as well as deploy machine learning models in Amazon Redshift using SQL.

Amazon Redshift is one of the most widely used cloud data warehouses, where one can query and combine exabytes of structured and semi-structured data across a data warehouse, operational database, and data lake using standard SQL. The cloud data warehouse is well-known for its intuitive features, such as efficient storage, scalability, high-performance query processing, result caching and more.

#amazon redshift #aws #aws re:invent 2020 #machine learning

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AWS Announces Amazon Redshift ML, A Cloud-based Service For Data Scientists
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Multi-cloud Spending: 8 Tips To Lower Cost

A multi-cloud approach is nothing but leveraging two or more cloud platforms for meeting the various business requirements of an enterprise. The multi-cloud IT environment incorporates different clouds from multiple vendors and negates the dependence on a single public cloud service provider. Thus enterprises can choose specific services from multiple public clouds and reap the benefits of each.

Given its affordability and agility, most enterprises opt for a multi-cloud approach in cloud computing now. A 2018 survey on the public cloud services market points out that 81% of the respondents use services from two or more providers. Subsequently, the cloud computing services market has reported incredible growth in recent times. The worldwide public cloud services market is all set to reach $500 billion in the next four years, according to IDC.

By choosing multi-cloud solutions strategically, enterprises can optimize the benefits of cloud computing and aim for some key competitive advantages. They can avoid the lengthy and cumbersome processes involved in buying, installing and testing high-priced systems. The IaaS and PaaS solutions have become a windfall for the enterprise’s budget as it does not incur huge up-front capital expenditure.

However, cost optimization is still a challenge while facilitating a multi-cloud environment and a large number of enterprises end up overpaying with or without realizing it. The below-mentioned tips would help you ensure the money is spent wisely on cloud computing services.

  • Deactivate underused or unattached resources

Most organizations tend to get wrong with simple things which turn out to be the root cause for needless spending and resource wastage. The first step to cost optimization in your cloud strategy is to identify underutilized resources that you have been paying for.

Enterprises often continue to pay for resources that have been purchased earlier but are no longer useful. Identifying such unused and unattached resources and deactivating it on a regular basis brings you one step closer to cost optimization. If needed, you can deploy automated cloud management tools that are largely helpful in providing the analytics needed to optimize the cloud spending and cut costs on an ongoing basis.

  • Figure out idle instances

Another key cost optimization strategy is to identify the idle computing instances and consolidate them into fewer instances. An idle computing instance may require a CPU utilization level of 1-5%, but you may be billed by the service provider for 100% for the same instance.

Every enterprise will have such non-production instances that constitute unnecessary storage space and lead to overpaying. Re-evaluating your resource allocations regularly and removing unnecessary storage may help you save money significantly. Resource allocation is not only a matter of CPU and memory but also it is linked to the storage, network, and various other factors.

  • Deploy monitoring mechanisms

The key to efficient cost reduction in cloud computing technology lies in proactive monitoring. A comprehensive view of the cloud usage helps enterprises to monitor and minimize unnecessary spending. You can make use of various mechanisms for monitoring computing demand.

For instance, you can use a heatmap to understand the highs and lows in computing visually. This heat map indicates the start and stop times which in turn lead to reduced costs. You can also deploy automated tools that help organizations to schedule instances to start and stop. By following a heatmap, you can understand whether it is safe to shut down servers on holidays or weekends.

#cloud computing services #all #hybrid cloud #cloud #multi-cloud strategy #cloud spend #multi-cloud spending #multi cloud adoption #why multi cloud #multi cloud trends #multi cloud companies #multi cloud research #multi cloud market

Best Cloud Computing (AWS) Development Company

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7 Reasons to Choose AWS as Your Cloud Platform

Amazon Web Services are widely used for cloud computing across the globe. These 7 reasons make AWS one of the best cloud platforms for your enterprise.

Cloud computing is on the rise, and AWS is emerging as the clear winner. With more than 40% market share of the cloud service market, Amazon Web Services is the leader in the industry. It offers cloud-based storage, virtual storage, and 70 other services to enterprises for their digital needs.

COVID-19 has driven companies to explore cloud computing more than ever. Amazon cloud business solutions enable you to move your organization to virtual channels. AWS cloud consulting is becoming popular as enterprises look to analyze how going virtual with AWS will help them reap the benefits of digital technology.

This article will highlight the 7 reasons to choose AWS cloud services for your enterprise. While there are other platforms like Google Cloud, DigitalOcean, Heroku, and more, we will see the AWS benefits that make it stand out in the industry.

#aws #amazon web services #aws cloud computing #aws cloud services #aws cloud solutions #cloud

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Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Anvi Lewis

Anvi Lewis

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A Comprehensive Guide On AWS Cloud Computing

Using AWS Cloud Computing in business, you can scale up or scale down the app as per the current market demand. Today, AWS grants a highly secure, scalable, low-cost infrastructure platform in the cloud that powers a multitude of business benefits in 190 countries worldwide.

Read more: https://www.mindstick.com/blog/297772/a-comprehensive-guide-on-aws-cloud-computing

#aws cloud consulting company #amazon cloud computing services #aws cloud consulting services #aws cloud services provider #aws development company