Big Data refers to a large collection of data which is growing at an exponential rate. This data is so complex and large that no traditional data management tool can store or process it efficiently. Big data can also be a huge data set. BENEFIT OF BIG DATA:- - Drives better customer service. - Boosts online sales. - Targets the right leads. - Efficient decision-making. - Reduces overall costs. - Provides a competitive advantage. - Increases revenue. To become a data scientist, one must first require knowledge of Big Data and other data science concepts like Python Programming, Advance Python Concepts, Python, Python for Data Visualization, Statistics, Machine Learning, SQL and more. However, to accelerate your career in Data Science and to provide the required knowledge of Big Data, 1stepGrow professional training education institute offers the best Data Science online course with IBM certification. This data science course curriculum was designed by industry experts and is considered the best in the business. 1stepGrow is deemed to be one of the best Data Science course in Bangalore because this course is a great combination of theory, case studies, and capstone projects. Key highlights: - 400 hours of intensive live training. - Live Onboarding Session. - 100% job guarantee. - IBM certification. - Apprenticeship Opportunity to work on client projects for real-time hands-on training. - 25+ Projects & 5+ capstone projects. - Mock Interviews by Hiring Managers. - No cost EMI option. - 1:1 with Industry Mentors - The course provides the entire toolbox you need to become a data scientist. For more information, please visit: https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

1. WHAT IS BIG
DATA?
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2. TABLE OF CONTENT
What is Big Data?
Future of Big Data.
Top Big Data tools
Benefits of Big Data.
characteristics of Big Data.
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3. WHAT IS BIG DATA?
Big Data refers to a large collection of data
which is growing at an exponential rate. This
data is so complex and large that no traditional
data management tool can store or process it
efficiently. Big data can also be a huge data set.
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Example of Big Data: Social Media
The statistic shows that 500+terabytes of new
data get ingested into the databases of social
media site Facebook, every day.

4. CHARACTERISTICS OF BIG DATA
Volume
Variety
Velocity
Variability
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5. CHARACTERISTICS OF BIG DATA - THE 4 V'S
Volume: Volume is one of the four v’s of big data. We definitely realize that big data shows
enormous volumes of data that is being created every day from different sources like human
interactions, networks, machines, business processes, social media platforms, and so on. A lot
of data is put away in data warehouses. Subsequently reaches the finish of characteristics of
big data.
Variety: Big data can refer to structured, semi-structured and unstructured data that has been
gathered from many sources. Unlike in the past, data was collected from spreadsheets and
databases. Today, data comes in a variety formats, including SM posts, audios and videos,
photos and PDFs, and emails. Big data is known for its diversity.
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6. CHARACTERISTICS OF BIG DATA - THE 4 V'S
Velocity: Velocity is the speed at which data can be generated. High velocity data is created at
such a rapid pace that it needs different (distributed), processing techniques. Twitter messages
and Facebook posts are examples of high velocity data.
Veracity: Veracity refers to the reliability, accuracy, and quality of the data collected. Veracity
is not a characteristic of big data. High dependability is important because big data has high
velocity, variety, and volume. However, businesses can draw precise inferences from this.
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7. BENEFIT OF BIG DATA
Drives better customer service
Boosts online sales
Targets the right leads
Efficient decision-making
Reduces overall costs
Provides a competitive advantage
Increases revenue

8. TOP BIG DATA TOOLS
1. Adverity
2. Dextrus
3. Dataddo
4. Apache Hadoop
5. Cassandra
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9. FUTURE OF BIG DATA ANALTYICS
As big data analytics is gaining popularity with
every passing day, it is essential for businesses
to be aware of the big data analytics
predictions and stay abreast with all the latest
trends. The scene is constantly changing and
businesses have to be on the toes to know
what the future trends in big data analytics are.
Once more and more companies start realizing how
efficient and profitable data analytics is, and how
well it benefits them, more companies will leverage
it, and the market will continue to grow

10. THANK YOU
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