Hadoop

3 Essential To-Dos for Successful Enterprise Adoption of Hadoop

Taking on Hadoop is the strongest step toward a successful big data endeavor. But what does it take to be successful with Hadoop? Hadoop now offers enterprise level security and data governance functionality, and is supported by a strong and ever growing body of other products, all open source and readily available. Here are the top trends that will help you embrace Hadoop with vigor and end with success.

1. Opt for Apache Spark Over MapReduce

Apache Spark has some distinct advantages over the old MapReduce, including the fact that it is much easier to work with and program in. While MapReduce is not expected to go anywhere anytime soon, expect that Spark will gradually overtake it in terms of use cases.

Apache Spark has some distinct advantages over the old MapReduce, including the fact that it is much easier to work with and program in. While MapReduce is not expected to go anywhere anytime soon, expect that Spark will gradually overtake it in terms of use cases.

For a long time, taking on Hadoop meant dealing with MapReduce. But Apache Spark has quickly overtaken MapReduce, mainly because it’s far easier to program in. According to the latest research conducted by industry leader Syncsort, Spark is the prime candidate in terms of computer frameworks for almost 70 percent of those adopting Hadoop, compared to just over half who elect to go with MapReduce.

For their part, Syncsort is supporting both MapReduce and Spark, as well as a seamless transition to Spark for organizations looking to leverage its advantages.

2. Offload from Costly Platforms into Hadoop

Enterprises are increasingly offloading data from expensive platforms like the data warehouses and mainframe onto Hadoop to make it more affordable as well as more widely available across the organization.

Enterprises are increasingly offloading data from expensive platforms like the data warehouses and mainframe onto Hadoop to make it more affordable as well as more widely available across the organization.

The main reasons for taking on Hadoop are to reduce operational costs and improve business and IT agility. More than half of the respondents to Syncsort’s recent survey believe that Hadoop will help them by allowing them to offload from expensive platforms like the mainframe and the traditional business data warehouse, while making data more readily available for the business to use. Hadoop can also make the data readily available across the organization, since it is no longer locked up in data silos where it is only available to a select few within the enterprise. In addition, once the data is in the Hadoop data lake, businesses can use advanced analytics tools to get more comprehensive business insights

3. Take on Advanced Use Cases with Hadoop

More and more businesses are looking to utilize Hadoop for their advanced use cases. According to the Syncsort study, more than half of the respondents view Hadoop as the best way to promote innovation, using data from a variety of sources like social media and the Internet of Things, and applying predictive analytics and visualization to achieve greater business insight. Fewer businesses are using Hadoop for the data accumulated by mobile applications and software, but this should change as the platform matures, progresses, and proves itself within the enterprise.

Taking on Hadoop? Don’t try to go it alone. Visit Syncsort today to learn about Big Data solutions you need to be a success.

 

 

Christy Wilson

Authored by Christy Wilson

Syncsort contributor Christy Wilson began writing for the technology sector in 2011, and has published hundreds of articles related to cloud computing, big data analysis, and related tech topics. Her passion is seeing the fruits of big data analysis realized in practical solutions that benefit businesses, consumers, and society as a whole.
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