{"id":5038,"date":"2014-02-14T11:19:53","date_gmt":"2014-02-14T11:19:53","guid":{"rendered":"https:\/\/www.happiestminds.com\/blogs\/?p=994"},"modified":"2026-03-06T06:47:45","modified_gmt":"2026-03-06T06:47:45","slug":"4-reasons-hadoops-adoption-for-big-data-will-continue-to-thrive","status":"publish","type":"post","link":"https:\/\/www.happiestminds.com\/blogs\/4-reasons-hadoops-adoption-for-big-data-will-continue-to-thrive\/","title":{"rendered":"4 Reasons Hadoop\u2019s Adoption for Big Data Will Continue to Thrive"},"content":{"rendered":"
<\/div>

In the big data world, , Hadoop is on the tip of everyone\u2019s tongue. Recently, as big data exploded, Hadoop has become an important tool for anyone interested in data science. Hadoop changing the way businesses store and analyze massive volumes of data.<\/p>\n

With the introduction of Hadoop 2.0 and YARN, as the next generation Hadoop resource manager, organizations are moving quickly toward adoption.<\/p>\n

According to Transparency Market Research<\/u><\/strong><\/a>, Hadoop Market is Expected to Reach $20.9 Billion (USD) Globally in 2018.<\/em><\/p>\n

Still, with all this growth and expansion, there is the question: \u201cwill this product continue to grow in popularity, and usefulness, or will it fizzle out?\u201d As viable a question that is for a new market, Here are a few reasons why there\u2019s no need to worry.<\/p>\n

1. Hadoop\u2019s future is Real-time:<\/strong><\/p>\n

Slowly but surely, Hadoop\u2019s capabilities are being realized by the enterprise business class. Now, more mature than before, the Hadoop open source community and commercial vendors are hard at work to increase innovation and make it easy to move Hadoop at an enterprise scale.<\/p>\n

The major growth focus is onreal-time streaming, better management, and quick SQL access features. These features are what businesses want. \u00a0With these capabilities, Hadoop<\/a> is no longer restricted to performing storage tasks and occassional \u00a0MapReduce processing; i\u2019s so much more.<\/p>\n

2. Hadoop Adoption Trend:<\/strong><\/p>\n

The Hadoop market is growing rapidly in many sectors, with government leading the pack \u00a0Government databases manage \u00a0access to \u00a0huge volumes of data, and with that, the many challenges related to data management and data handling. Healthcare, retail and life sciences are dealing with similar business issues, and follow closely behind.<\/p>\n

Telecommunication, now in the early adoption stage with Hadoop, is expected to grow rapidly between 2012-2018. Soon, there will be no business practice left untouched by big data<\/a>.<\/p>\n

3. Hadoop Vendors:<\/strong><\/p>\n

Parnter vendors like Cloudera, Hortonworks or MapR are constantly bringing exciting business values to the market through their unique offerings. Cloudera, for example, \u00a0bills its platform as an \u201c enterprise data hub.\u201d<\/p>\n

Big names like IBM and Amazon are also boosting the Hadoop image, making it wasy to run for inexperienced developers and seasoned professionals alike.<\/p>\n

4. Open Source Platform:<\/strong><\/p>\n

One of the best parts of Hadoop is that it runs on open source. This open platform ultimately reduces implementation cost, making it easier for enterprises to actually try their hands at Hadoop. And due to open approach and the flexibility that comes with it, many organizations are also taking a look at the long-term goals rather than short-term gain. Simply, using a product with the support of the open source community gives everyone the upper-hand in achieving their goals.<\/p>\n

BigData is here to stay, and as business struggle to handle its weight, Hadoop will continue to grow. The question is: When will you get on board?<\/p>\n

\r\n
\r\n \r\n <\/i>\r\n <\/a>\r\n 0 <\/span>\r\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"

In the big data world, , Hadoop is on the tip of everyone\u2019s tongue. Recently, as big data exploded, Hadoop has become an important tool for anyone interested in data science. Hadoop changing the way businesses store and analyze massive volumes of data. With the introduction of Hadoop 2.0 and YARN, as the next generation […]<\/p>\n","protected":false},"author":7,"featured_media":6234,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[516],"tags":[201,262,263],"class_list":["post-5038","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-big-data","tag-big-data-hadoop","tag-hadoop"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.happiestminds.com\/blogs\/wp-json\/wp\/v2\/posts\/5038","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.happiestminds.com\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.happiestminds.com\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.happiestminds.com\/blogs\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.happiestminds.com\/blogs\/wp-json\/wp\/v2\/comments?post=5038"}],"version-history":[{"count":1,"href":"https:\/\/www.happiestminds.com\/blogs\/wp-json\/wp\/v2\/posts\/5038\/revisions"}],"predecessor-version":[{"id":12311,"href":"https:\/\/www.happiestminds.com\/blogs\/wp-json\/wp\/v2\/posts\/5038\/revisions\/12311"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.happiestminds.com\/blogs\/wp-json\/wp\/v2\/media\/6234"}],"wp:attachment":[{"href":"https:\/\/www.happiestminds.com\/blogs\/wp-json\/wp\/v2\/media?parent=5038"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.happiestminds.com\/blogs\/wp-json\/wp\/v2\/categories?post=5038"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.happiestminds.com\/blogs\/wp-json\/wp\/v2\/tags?post=5038"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}