CALL US

  +91 8266041801

  +44 203 372 4609

  +1 408 454 6110

  evontech

Get Free Quote

7 Tools for Successful Big Data Analytics

big-data - ana.jpgImage Courtesy: studyin-uk.in

Data collection and analytics have always been crucial to chief business managers’ capability of making right business decisions. But unlike past, databases now have data with high volume, velocity, and veracity. Going by a big data infographic contributed by Ben Walker of Voucher Cloud in 2015, around 2.5 quintillion Bytes of data is created every day. The amount is good enough to fill 10 million Blu-ray discs.


Given the gigantic amount of data existing in databases nowadays, data industry coined a new term for it - Big Data. Big Data is basically large volumes of information present in databases in structured, semi-structured and unstructured form.


Big-Data-evolution.jpg

Image source:


A lot of hype has already been created around big data as its analysis opens new avenues for business managers to boost sales by targeting or retargeting right customers. Big data analytics helps understand what customers want to buy and what they don’t like about your products or services. Therefore, you can figure out a quick fix and improve the brand value of your business. Besides, you can provide personalized experiences and add more numbers to the list of loyal customers.


However, an important point to note here is that making sense of big data is a very challenging task. That said, one needs to put into use an analytics tool to make sense of big data and turn it into significant business value. Let’s discuss 7 tools business managers can use to work with big data for successful analytics.

7 Tools for Big Data Analytics

#1 Hadoop

hadoop.jpg

Apache Hadoop is an open-source software framework that facilitates distributed processing of very large data sets across hundreds of inexpensive servers that operate in parallel. It’s been quite a time business have been using Hadoop to sort and analyze big data. Hadoop uses simple programming models to ensure distributed processing of large data sets and making them available on local machines.


Click here to learn more about Hadoop

#2 Storm

Storm, another product from Apache, is a real-time big data-processing system. Storm is also open source and can be utilized by both small and big businesses. It is fault tolerant and goes well with any programming language. Storm is capable of performing data processing even if any of the connected nodes in the cluster die or messages are lost. Other tasks that Storm can perform is distributed RPC and online machine learning. Storm is a good choice for big data analytics as it integrates with existing technologies, which makes processing of big data much easier.


Click here to learn more about Storm

#3 Hadoop MapReduce

mapreduce.png


Image source: gigaspaces.com

Hadoop MapReduce is a programming model and software framework for writing data processing apps. Originally developed by Google, MapReduce enables quick processing of vast amounts of data in parallel on large clusters of compute nodes.


The MapReduce framework has two types of key functions. First, the map function which separates out data to be processed, and second, the reduce function which performs data analysis. As MapReduce involves two stage processing, it’s believed that a large number of varied data analysis questions can also be answered with it.


Click here to learn more about MapReduce

#4 Cassandra

Apache Cassandra is highly scalable NoSQL database. It is capable of monitoring large sets of data spread across large clusters of commodity servers and the cloud. Cassandra was initially developed at Facebook out of a need for a database to power their Inbox Search. The big data tool is now widely used by many famous enterprises with large, active datasets, including Netflix, eBay, Twitter and Reddit.


Click here to learn more about Cassandra

#5 OpenRefine

OpenRefine (formerly GoogleRefine) is an open source powerful tool that is meant to work with messy data. The tool allows quick cleaning of huge sets of messy data. Then, it transforms the data into useable format for further analyses. Even non technical users can integrate OpenRefine into their data workflow at ease. OpenRefine also enables to create instantaneous links between datasets.


Click here to learn more about OpenRefine

#6 Rapidminer

Rapidminer is an open source tool that is capable of handling unstructured data, like text files, web traffic logs, and even images. The tool is basically a data science platform that relies on visual programming for operation. With Rapidminer comes functions that include manipulation, analysis, modeling, creation of models, and fast integration in business processes. Rapidminer has become popular among data scientists as it offers a full suite of tools to help make sense of data and convert it to valuable business insights.


Click here to learn more about Rapidminer

#7 MongoDB

mangoDb.jpg

Image courtesy: devGeeK

MongoDB is an open source and widely used database for high performance, high availability, and easy scalability. It is classified as a NoSQL database. MongoDB’s distributed key value store, MapReduce calculation capability and document oriented NoSQL features make it a popular database for big data processing. MongoDB is well suited for programming languages like JavaScript, Ruby and Python. MongoDB is easy to install, configure, maintain and use.


Big data analytics has become the need of the hour for business managers to make smarter business moves and yield higher profits. However, without a big data analytics tool, it’s very difficult to uncover hidden patterns, correlations and other insights to get a competitive advantage and take your business to new heights. With this, I am wrapping up this blog, hoping it helps you choose a big data analytics tool that suits your business the best.

Do you have a firsthand experience of using any big data analytics tool? Or, do you want to add more to what’s already being discussed above? As always, your views are vital for all our readers, please add them in the comment box below.

Estimating And Planning in Agile Project Managemen...
6 Common Mistakes Front-End Developers Should Avoi...

Related Posts

Comments

 
No comments yet
Already Registered? Login Here
Guest
Thursday, 23 January 2020
If you'd like to register, please fill in the username, password and name fields.

SEARCH BLOG

Cloud computing Big Data Big Data Analytics Web development IT consulting and software development IT developers Javascript Project Management Offshore development India Salesforce Cloud Services Product Development Software development and testing Outsourcing business analysts Web app development Salesforce Lightning Agile Development EmployeeEngagement App development Salesforce customization Software development Salesforce Mobile Development Evon Technologies Digital Marketing Start-ups Node.js Offshore software development company Offshore software development Reactive Programming React Native EPLcricket Agile Product Development Recreationalactivity React.js Big Data Cloud Database & Computing | JUnit Business Growth MVP Development Social Media Marketing Salesforce CRM Python Mobile app development Higher Productivity Staff Augmentation Data security breach project management methodology marketing automation Resource Management Virtual reality Scrum QA services Salesforce Consulting Android development QA and Testing DevOps services Findnerd Artificial intelligence Android apps Offshore software development services Collaboration AI in mobile apps Real time data Project Manager Form Validation Sensei Task Master Cross Platform Mobile App Development Hadoop Mobile app marketing Customer Development Mobile Sites Applications of real time data Top JavaScript Frameworks Python Frameworks Platform as a Service (SaaS) Content Management System QA Oculus Rift Software Development Product Salesforce blockchain integration HIPAA Compliant Healthcare Solutions Big data and lead generation Game based learning Cloud Management Tool cloud service provider Bootstrap Validator Microsoft acquires Sensei apps PhoneGap HTML onsite-offshore iOS apps Salesfoce apps Startup Accelerator Reactive Systems Importance of real time data AngularJS Python Development Infrastructure as a Service (SaaS) Popular CMS Development Plan Difference between Virtual Reality and Augmented Reality

About Us

Evon is a software development consulting company based in India. We are a 250+ people company. We primarily service clients who want to either completely outsource a new idea or are looking to build an offshore team.

GoodFirms Badge

Recent Tweets

Evon Technologies

With over a decade of #consulting and implementation excellence, Evon offers #businesses #Salesforce consulting ser… https://t.co/XkBAzzxm8I

Evon Technologies

RT @Evontech: Agile or Waterfall - Which Methodology works the best for Fixed Price Projects, Know here- https://t.co/VHdqixdZPI #Agile #w…

Get in Touch

  +91 8266041801

  +44 203 372 4609

  +1 408 454 6110

  evontech

 This email address is being protected from spambots. You need JavaScript enabled to view it.

   A- 5, IT Park, Dehradun, Uttarakhand, India, PIN - 248001.

follow us on

×
We use cookies on our website to provide you with a more personalised digital experience and for analytics related to our website and other media. For more information, please review our Privacy Policy and Cookies Policy.