What Amazon Redshift Means For Small Business
Data management and analysis is crucial for every digital marketer. There are loads of data that marketers can use and manipulate in order to bring more marketing advantage to their business. The problem often lies on how data is collected and analyzed. As more data is loaded to your data collection system the processing and analysis may often take time and quite disorganized, giving you more confusion and indefinite analytic results. The Amazon Redshift provides a good solution to overcome this issue on data collections and management and is viewed to be helpful in small businesses.
The Amazon Redshift value to small businesses
The Amazon Redshift is a form of data warehouse system that helps in the collection of huge data with the ability to archive past collected data in a more organized manner. While it can be likened to the database systems such as that of MySQL the difference is the Amazon Redshift is more useful and powerful in data aggregation and performs as an online analytical processing. As a data warehousing system the Amazon Redshift is used by online marketers as a Business Intelligence tool that can help marketers in making crucial decisions for their business and to help them further optimize their business marketing strategies using data analytics tools.
Intelligent tools like the Amazon Redshift can help magnify a digital marketing campaign through efficient huge data collection and analysis. What makes the application more useful is the offering of cost effective measure on data management and analysis to small businesses. Data warehousing and big data analysis are viewed as two distinct thing and services. This makes it more costly for small businesses to use separate services for data warehousing and analytic processing. With Amazon Redshift, small businesses have better advantage in launching their start up businesses without incurring a more costly data collection process and analytics process.
Cost efficient features of the Amazon Redshift
Small scale businesses can pursue both data warehousing and analytic processing in a cost efficient manner. Other data warehouse systems require additional costs for securing the system and an additional and separate setup for a large scale server processing. The Amazon Redshift makes it simpler and more efficient for small businesses to enjoy both data management service and big data analysis at a single cost.
The management of data collected is done through the Amazon Cloud and it is already included in the cost paid by the Amazon Redshift subscribers. Performance tests that were reported about Redshift revealed that it is about 10 times more efficient in terms of costs and speed. Unlike other similar services as the Amazon Redhift that are too technical and usually require the help of big data specialist, the Redshift can be managed and operated by any web engineer without too much complicated processes.
Small businesses can spend only $0.25 per hour without the upfront costs and can amount up to $1,000 per terabyte per year. This is about less than a tenth the costs compared to the other data warehousing services. It comes beneficial to businesses because the data warehouse system of the Redshift is capable of processing large data more quickly and efficiently.
Standout features of Amazon Redshift useful to small businesses
The Amazon Redshift is loaded with features that small businesses can take advantage in order to advance their marketing strategies using the efficient data collection and management process in the application.
1. Columnar data storage
This feature of the Amazon Redshift provides a column oriented structure for the data collected storing the information by columns instead of the ordinary way by which data warehouse systems store the information in rows. The feature works more efficiently by aggregating data and processing where one only wants to work on specific columns. Businesses will be more competent in retrieving specific data more quickly because the compressed column does not interfere with the other data collected as when they are arranged in rows thereby making the retrieval of specific data more convenient for fast decision making.
2. The scalability feature of Amazon Redshift
The system uses the Massively Parallel Processing (MPP) structure that allows the addition of storage nodes that preserve the processing speed of the system as the data collection grows. This makes small businesses enjoy data growth for analytics without affecting the efficiency of data processing and collection process.
3. Amazon Redshift compatibility feature
Built on PostgreSQL database technology, the Redshift is compatible to all drivers on PostgreSQL as well as in other tools such as JDBC driver operators. This eliminates the need for small businesses to use other compatible tools and drivers because the Amazon Redshift is able to work seamlessly with other applications and even the newly created web apps.
4. Data security feature
The data collected is encrypted through the Amazon Redshift system in a secured transit. It uses the standard encryption technique used in the industry and is supported with SSL connection between the user application and its data warehouse facility. Even the backup data in your system is encrypted and secured as well. Small businesses don’t need to spend for additional security services to ensure that their data are secured and protected all the time.
5. Data access and control
Security breach is a common concern among businesses using data warehouse services. In order to address this issue, the Amazon Redshift uses Virtual Private Cloud which is called as Amazon VPC that allows the client to define its own virtual network in a controlled environment. It operates as the client own data center where complete control is exercised on who can access the data warehouse system.
6. Data protection and backup. One of the best features of the Amazon Redshift is its ability to replicate the data stored within its data warehouse cluster. This is a very useful backup system that protects your data in case one of your nodes falters. The Redshift can also replicate the snapshots of your data to the Amazon S3 for disaster recovery. The backup retention in the system takes only 1 day as a default setting. But the user can configure it to last up to 35 days.
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