Big data is no longer just the future -- it's the present. The retail industry, for example, uses big data to better understand its customers, and to optimize internal business processes. Scientists are now able to crunch large amounts of data at a more rapid pace for research. The benefits of big data have expanded beyond the enterprise, too, helping individuals track personal health based on data from wearable devices.
Big data in the public cloud allows organizations to tap into some of these benefits without having to invest the time, money and IT staff needed for an on-premises deployment. The use of big data in cloud computing also helps enterprises process, analyze and manage large, varied data sets more quickly and efficiently. To start, organizations should evaluate the data they have and determine the insights they want from it. Next, they should evaluate the big data services and management tools from top cloud providers, such as Amazon Web Services (AWS), Azure and Google.
Follow this guide on big data in cloud computing to get started.
1Big data options in cloud-
Evaluate cloud models, providers for your big data project
Before you pursue big data in cloud computing, evaluate which cloud environment will best fit your needs: public, private or hybrid cloud. Consider how sensitive your data is and review your compliance requirements -- if they're strict, private or hybrid cloud may be the better option. For public or hybrid cloud users, the next step is to evaluate which public cloud provider suits your needs. The top three cloud providers, AWS, Azure and Google, all have big data services and management tools. Compare what each provider offers for storage, databases, analytics and other big data tools.
Choosing the wrong environment for your big data project can negatively impact costs and make it tough to meet technical demands. See if public, private or hybrid cloud best meets your big data needs. Continue Reading
Once you choose a database model -- such as SQL, NoSQL or Hadoop -- for your big data platform, explore the cloud options available that will work best with the model you select. Continue Reading
The three top cloud providers, AWS, Azure and Google, all offer competitive big data services. Take a close look at each to determine the best fit for your data. Continue Reading
2Manage and analyze big data-
Choose the right big data management, analytics tools
After choosing a cloud service provider, the next step is to evaluate management, monitoring and other tools for big data in cloud computing. While providers offer some native tools within their services, be sure to also evaluate third-party and open source tools that can help you manage large amounts of data in the cloud. Hadoop, a Java-based programming framework, is a popular tool to process large data sets and also includes MapReduce, a component that enables distributed processing of massive, unstructured data sets across compute clusters. In addition, enterprises should consider various tools and methods to keep big data secure.
MapReduce and Spark are popular options for enterprises looking to process big data in the cloud. Compare these two services, including performance and other factors, to see which one is right for you. Continue Reading
AWS brings a lot to the big data table, including Elastic MapReduce and Kinesis Firehose, two services that can help users scale, distribute and process vast amounts of data. Continue Reading
Moving big data to the cloud isn't a one-step process. Reduce challenges and maintain performance with GPUs and VM instances with enough DRAM, compute cycles and disk I/O. Continue Reading
By submitting your personal information, you agree that TechTarget and its partners may contact you regarding relevant content, products and special offers.
3Big data in the news-
Read up on recent big data and cloud news
Top providers AWS, Azure and Google dominate news around big data in cloud computing. These vendors introduce and update big data services at a rapid pace to lure in enterprise customers. While Google has years of experience due to its search engine practice, and recently scored Spotify as a customer, AWS and Azure have also made steady progress. AWS, for example, offers a large amount of data storage choices, and Azure has unique services, such as its Cortana suite for advanced intelligence capabilities.
Google pushes forward to make its big data services as robust as possible with upgrades to its database services, including the latest version of Cloud SQL, and the release of Cloud Bigtable and Cloud Datastore. Continue Reading
Google has struggled to attract enterprises to its cloud platform, but it scored a big customer, Spotify, in February 2016 because of its big data services. Continue Reading
4A quiz on big data in cloud-
See how much you know about big data in cloud computing
An important part of the learning process is to quiz yourself on the subject. Take this test to see if you know the big data basics.Take This Quiz
5Big terms for big data-
Prepare for big data in the cloud with this glossary
When trying to learn big data basics, an excellent place to start is to learn the key terminology. Build a sound foundation for your big data and cloud computing knowledge with these definitions.