Top five breakthrough technologies on phd in big data cloud computing hadoop, hive & mapreduce techn

Top​ ​five​ ​breakthrough​ ​technologies​ ​on​ ​PhD​ ​in​ ​Big data/Cloud​ ​computing:​ ​Hadoop,​ ​HIVE​ ​&​ ​Mapreduce techniques

The​ ​exponential​ ​surge​ ​in​ ​digitalization​ ​has​ ​influenced​ ​our​ ​lives​ ​to​ ​a​ ​great​ ​extent compared​ ​to​ ​a​ ​decade​ ​ago.​ ​It​ ​has​ ​generated​ ​a​ ​huge​ ​amount​ ​of​ ​Data.​ ​‘Big​ ​Data’.

With​ ​a​ ​mission​ ​of​ ​organizing​ ​and​ ​data​ ​mining,​ ​the​ ​below​ ​mentioned​ ​technologies have​ ​become​ ​the​ ​next​ ​buzzword​ ​amongst​ ​the​ ​Information​ ​Technology aficionados​ ​and​ ​PhD​ ​enthusiasts​ ​(Interesting!)

“The​ ​goal​ ​is​ ​to​ ​turn​ ​data​ ​into​ ​information,​ ​and​ ​information​ ​into​ ​insight.”

–​ ​Carly​ ​Fiorina

PhD​ ​Enthusiasts​ ​and​ ​Big​ ​Data​ ​analytics PhD enthusiasts have a great deal of interest in Big Data and related analytics technologies as Big ​Data analytics companies are ruling the roost when we look the​ ​Forbes​ ​list​ ​of​ ​futuristic​ ​companies.

“Without​ ​big​ ​data​ ​analytics,​ ​companies​ ​are​ ​blind​ ​and​ ​deaf​ ​,​ ​ ​wandering​ ​out onto​ ​the​ ​web​ ​like​ ​deer​ ​on​ ​a​ ​freeway.”

–​ ​Geoffrey​ ​Moore This craze amongst people who work on a PhD thesis, as it’s the place world is going to be in tomorrow. This rapid rise in ​Thesis on big data analytics fuel the dissertations that are done using the breakthrough technologies mentioned below.

Apache Hadoop – ​It is a java based open source framework that has applications in distributed storage, processing and mining of huge datasets.

Hadoop works based on Hadoop Distributed file System. This storage system splits​ ​the​ ​big​ ​data​ ​and​ ​distributes​ ​them​ ​across​ ​many​ ​nodes​ ​in​ ​a​ ​cluster.

Apache Hive – ​It is a data warehousing software that is built on Hadoop structure. It is primarily used for distributed data management, data summarization,​ ​generating​ ​queries​ ​and​ ​data​ ​analysis.

Microsoft HD Insight – ​it is a Hadoop based big data batch processing solution that is available as service in the cloud. It uses Windows Azure Blob storage as the​ ​file​ ​system​ ​that​ ​supports​ ​Hadoop​ ​file​ ​system​ ​commands.

NoSQL – ​Basically meaning non relational database that has the storage and data retrieval mechanism. This is primarily used to handle large amounts of unstructured​ ​data.

Mapreduce – ​It is usually termed as the core of Apache – Hadoop platform. It is a programming model that is used for processing and generating big data sets. It

is inspired from the ‘map’ and ‘reduce’ functions that are widely used in functional programming.

Other​ ​Technologies Other prominent big data and cloud computing technologies that are used for big data analytics PhD projects are Polybase, Sqoop, Presto, Big Data in Excel etc.

The combinations of these tools and technologies are applied to the project as per​ ​the​ ​demands​ ​of​ ​the​ ​PhD​ ​project.

About​ ​PhD​ ​Assistance: PhD Assistance (Academic and Research Consultant), is world’s reputed academic guidance provider for the past 15 years have guided more than 4,500 Ph.D. scholars and 10,500 Masters Students across the globe. We support students, research scholars, entrepreneurs, and professionals from various organizations in providing consistently high-quality writing and data analytical services​ ​every​ ​time Read our trending blog “​Writing a Civil Engineering Dissertation in a Week – Myth​ ​or​ ​Reality?”​ ​,​ ​this​ ​would​ ​interest​ ​you​ ​further.