Supercharge your career growth in Big Data
Big Data Landscape
Learn Big Data Landscape from basics in this free online training. This free Big Data Landscape course is taught hands-on by experts. Also learn about Different Roles in Big Data Analytics. Best for Beginners. Start now!
What you learn in Big Data Landscape ?
About this Course
Data is generated in massive amounts to support business decisions and strategies. With widespread digitization and emerging technologies, a huge gap has been created with the increased adoption of digitalization and emerging technologies, a significant gap has emerged between the increasing volume of data generated and data consumed by consumers and interactors. The portrayal of an organization's data assets is called a Data Landscape which includes Storage, systems for creating, analyzing, processing and storing data, and other applications that are handled within the enterprise's data environment. This data is illustrated dynamically and systematically through a semantic representation.
In this Big Data Landscape course, you will understand why data is essential to an organization and react to an exponential increase of data. Data Science is the domain that helps us understand how to use good data and find how to identify and understand incorrect data. In our journey to understand data, we will understand what a day in a Data Scientist's life looks like. We will also understand the power of data through simple examples and reinforce the importance of Data Science. While data is all-important, we will also look at where AI and ML fit into the story and where the industry is focusing in the coming future.
As an Ed-Tech organization, we aim to empower our learners to help them in their career transition and be global best fits. Great Learning holds out various Post-Graduate Programs. You can register for the Data Science course and earn a degree online from a renowned university. Join with us today and learn with millions of aspirants across the globe. Happy Learning!
Course Outline
Before representing Big Data Landscape, one must be able to create, analyze, process and disseminate data. It is also important to have a good understanding of Big data concepts.
Big data landscape is the visual representation of systematic assessment of how an organization’s assets are created, received, processed and disseminated.
Big data analytics help companies harness their data and use them to discover new opportunities leading to smarter business choices, more efficient operations, bigger profits and satisfied customers.
Data Science and Big Data are two certain things you must learn along with the ability to analyze and work with such huge data sets.
With this course, you get
Free lifetime access
Learn anytime, anywhere
0.5 Hours
of self-paced video lectures
Frequently Asked Questions
What is the data landscape?
Data Landscape is the systematic assessment of creating, receiving, processing, and disseminating an organization's data. It is seen as a knowledge graph, a collection of interlinked descriptions on a particular knowledge domain, including entities of relationships, interfaces, and data flows. They can range from the data warehouse, relational databases, and scientific softwares to omic analysis tools with internal or public databases.
What are big data environments?
A big data environment is a dynamic environment, continuously fetching data from a greater pool of sources. It is so rigorous that it eventually becomes impossible for data handlers running the big data environment to rightly define the origin and content of all the data sets in the contains.
What are the three fundamental principles of big data?
The three fundamental principles guiding big data are:
- 1. Collect a considerable amount of data for particular use case and aggregate them
- 2. Identify and scrub sensitive data
- 3. Always have an alternative method in case the scrubbed insights fail.
How is big data changing the business landscape?
Big data gives an organization the power to collect more and better marketing-related data about the users, which will help marketers understand better what the users want, what users use, and what channels are regularly used for commodity flow. With this data, it is now even easier to customize the content to target potential customers and drive sales.
Will I get a certificate after completing this Big Data Landscape free course?
Yes, you will get a certificate of completion for Big Data Landscape after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.
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Big Data Landscape- An Introduction
Big data refers to the large, complex datasets generated by businesses and organizations in today's digital world. With the rise of the internet, social media, and the Internet of Things (IoT), the volume and variety of data being generated has exploded, making it increasingly difficult for traditional data processing methods to keep up.
The big data landscape is a rapidly evolving field, and to be successful in it, you need to be equipped with the right skills and knowledge. This is where the free course on Big Data Landscape comes in.
This course will provide you with a comprehensive overview of the big data landscape, including the different tools and technologies used in the field. You'll learn about the different roles in big data, including data engineers, data scientists, and business analysts, and why they are critical to success in this field. Additionally, you'll gain a deeper understanding of the challenges and opportunities presented by big data, as well as the skills required to succeed in the big data landscape.
Whether you're looking to break into the field of big data or you're already a seasoned data professional, this course will help you stay ahead of the curve. With its focus on hands-on learning, you'll be able to immediately apply what you've learned to real-world problems and make a real impact in your work.
In conclusion, the free course on Big Data Landscape is a must-take for anyone looking to advance their career in big data. Don't miss this opportunity to gain the skills and knowledge you need to succeed in this rapidly evolving field.
