Big data means really a big data, it is a collection of large data sets that cannot be processed using traditional computing techniques. Big data is not merely a data, rather it has become a complete subject, which involves various tools, techniques and frameworks.

Big data involves the data produced by different devices and applications.

Black Box Data

Social Media Data

Stock Exchange Data

Power Grid Data

Transport Data

Search Engine Data

Benefits of Big Data

Big data is really critical to our life and its emerging as one of the most important technologies in modern world. Follow are just few benefits which are very much known to all of us:

Using the information kept in the social network like Facebook, the marketing agencies are learning about the response for their campaigns, promotions, and other advertising mediums.

Using the information in the social media like preferences and product perception of their consumers, product companies and retail organizations are planning their production.

Using the data regarding the previous medical history of patients, hospitals are providing better and quick service.

Hadoop

Hadoop  is a collection of open-source software utilities that facilitate using a network of many computers to solve problems involving massive amounts of data and computation. It provides a software framework for distributed storage and processing of big data using the Map Reduce programming model. Originally designed for computer clusters built from hardware still the common use it has also found use on clusters of higher-end hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework.

Applications

log and/or click stream analysis of various kinds
marketing analytics
machine learning and/or sophisticated data mining
image processing
processing of XML messages
web crawling and/or text processing
general archiving, including of relational/tabular data, e.g. for compliance

Certification

Exam CCA175 Cloudera Spark and Hadoop Developer Certification

Course Curriculum

Big data
Big Data Opportunities & Challenges 00:00:00
OOPS & Java Fundamentals 00:00:00
Understanding Linux Commands 00:00:00
Introduction to Hadoop 00:00:00
Getting Started with Hadoop 00:00:00
Pseudo Cluster Environment – Setting up Hadoop Cluster 00:00:00
MapReduce 00:00:00
Installing PIG, HIVE, HBASE, SQOOP,ZooKeeper, Oozie 00:00:00
Hadoop Admin 00:00:00
Course Features
Courses Duration: 40hrs(Each paper)
Trainer: Microsoft certified trainer(Real-time)
Exam: Pearson Vue Exam test center
Course Material: Digital Microsoft courseware(DMOC)
Certification: 120+ Certification.
Batch Strength: 5-10(limited)
1. Conducting Workshops on collages and Corporates
2. Real-time Practical Guidance
3. Both On-premises and Off-Premises
1. Updated versions of the Systems and software are provided
2. Mini Projects will be provided by the trainer
3. Evaluated by MCT's
4. MCT's will help in Your Real-time projects
1. Direct Microsoft Curriculum material(DMOC)
2. Lifetime validity
1. Authorized Pearson Vue test center partner
2. More than 120+ Certification
3. Certification Assistance provided with proper guidance
1. Itbms itself a Staffing and recruitment company
2. Students resumes are shortlisted and moved to Mnc's
3. A good number of students are placed with a high package
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