Big Data is the name given to those massive and difficult to understand data sets, which are nearly impossible to deal by using traditional data processing application software. The term is also used to refer to the application of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. If you are gearing up for agile certified practitioner exam prep or data analytics certification then you must have a good knowledge of big data fundamentals. With our Introduction to Big Data course, we aim to fulfill this objective for you. Here, we will be sharing a useful insight to the big data in general, and also about big data certification offered at QuickStart. Let us get started with the objectives of this course.
Big Data Certification Objectives
Our big data introduction training aims to let you learn how to leverage big data analysis tools and techniques to promote better business decision-making. This course will also tell you about ways of storing data for efficient processing and analysis. It will enable you to store, manage, process, and analyze massive amounts of unstructured data to convert it in to usable and meaningful database.
Big Data Technologies
Main components of Big Data are big data technologies, like business intelligence, cloud computing and databases. It also includes techniques for analyzing data, such as A/B testing, machine learning and natural language processing. Visualization, such as charts, graphs and other displays of the data also forms a part of big data technologies.
Data Analytics Certification
Real or near-real time information delivery is one of the defining characteristics of big data analytics. With our data analytics training, you will come to know about different advantages of shared storage in big data analytics. This training helps you to do analytic innovation by focusing on business importance and framing the problem at first. It then tells you, which tools to select for achieving timely results. Ultimately, you would know about how to implementing a Big Data solution. This will include selecting suitable vendors and hosting options and balancing costs against business value, so that you and your business stays ahead of the curve.
Contents of the Introduction to Big Data Course
This big data certification course is divided in different sections. It starts with defining the Big Data, talking about its four dimensions: volume, velocity, variety, and veracity. You also get introduced to the Storage, MapReduce and Query Stack. The training then makes you learn about the business importance of Big Data and various challenges associated with extracting useful data. It also tells you how to integrate Big Data with traditional data.
Advanced sessions will impart skills for storing Big Data and for analyzing your data characteristics. You will learn how to select data sources for analysis and how to eliminate redundant data. It will also establish the role of NoSQL. You will get an overview of Big Data stores such as Hadoop Distributed File System, HBase, Hive, Cassandra, and Hypertable. To assist you in selecting Big Data stores, the course talks about choosing the correct data stores based on your data characteristics, moving code to data, implementing polyglot data store solutions, and aligning business goals to the appropriate data store.
To make you proficient in processing Big Data, the course will tell you about integrating disparate data stores, employing Hadoop MapReduce, the building blocks of Hadoop MapReduce, and handling streaming data. You will also learn about tools and techniques to analyze Big Data and developing a Big Data strategy.
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The article gives a useful insight to the big data in general, and also about big data certification offered at QuickStart.