Big data is a term that describes the huge amount of data (structured and unstructured) that floods the enterprise every day. Big Data includes the quantity of data , the speed or speed at which it's created and picked up , and therefore the variety or scope of the info points being covered. It very often comes from several sources and arrives in multiple formats. From the perspective of a project manager or project manager, big data does not necessarily revolve around the amount of data that individuals and companies deal with. Data can be obtained from any source and analyzed to find the answer for the following purposes: Reduce the time cut costs Wise decision Optimized product New products development Your present project management and soft skills are likely ultimate for establishing the framework for a replacement or existing Big Data project team and their projects. you only got to enhance the talents and knowledge you have already got . This is where Tonex training can help. Tonex Offers Big Data for Project and Program Managers Training participants will find out how to profit from big data in their projects and programs Why does one Need This Training? Need project managers with big data expertise and business awareness Must have expert judgment ability to use technology The plan manager should assist in expanding and coordinating tasks throughout the project Audience Project managers Program managers Big data analytics Decision makers of organizations Strategic leaders Executives Training Objectives Describe the big data analytics Explain the business values of massive data Talk about the opportunities and challenges of using big data Choose if big data analytics serve their client’s interest, situation and knowledge Manage data analytic projects Assess risks related to the large data Distinguish between a knowledge analytic project and a fishing expedition Decide the best approach Conclude the time to stop the analysis Talk about how project management can be used to sustain your data analytics capability Elaborate how big data can be used to secure the progress of the project Identify what analytics should be implemented Course Outline: Overview to Big Data and Project/Program Management Project Management Process Where Does Big Data Analytics expertise is Required? Introduction to Big Data Management Big Data Challenges The Status of Big Data Management Data Science Methods Technical Practices for Big Data Management Analytic Exercises and Big Data Management Applicable Programming Languages Corporation Practices for Big Data Management Top Priorities of Big Data Management Choosing the Best Strategy Organizational Leadership Tonex Hands-On Sample Workshop Learn More: https://www.tonex.com/training-courses/big-data-project-program-managers-training/

2. Big data is a term that describes the huge amount of
data (structured and unstructured) that floods the
enterprise every day.
Big Data includes the quantity of data , the speed or
speed at which it's created and picked up , and
therefore the variety or scope of the info points being
covered. It very often comes from several sources
and arrives in multiple formats.

3. Big data is predicated on the distributed database
architecture where an outsized block of knowledge is
solved by dividing it into several smaller sizes. Then
the answer to a drag is computed by several different
computers present during a given network . The
computers communicate to every other so as to seek
out the answer to a drag .

4. Each business organization large and small needs
valuable data and insights. Big data plays a very
important role in understanding the target audience
and customer preferences. It can even help predict
customer needs.
The correct data requires effective presentation and
correct analysis. It can help companies achieve
various goals.

5. From the perspective of a project manager or project
manager, big data does not necessarily revolve around
the amount of data that individuals and companies deal
with. Data can be obtained from any source and analyzed
to find the answer for the following purposes:
• Reduce the time cut costs
• Wise decision
• Optimized product
• New products development

6. Big data are often analyzed for insights that cause
better decisions and strategic business moves.
Present usage of the term big data usually refers to
the use of predictive analytics, user behavior analysis
or some other advanced data analysis methods to
extract value from data, and data sets of specific sizes
are rarely used.

7. Big data is especially important in business. No
matter what your goals for the project are, you can
find data that affects its results.
With business intelligence, you can analyze past and
real-time data and use them to draw your own
conclusions. During analysis, you can use past data to
build probabilistic modeling of specific outcomes for
the project.

8. The Two Main Challenges Facing Big Data Are:
• How to use it wisely in the real world
• How planning and project management should
be aligned with the development of technical
data processing capabilities

9. Projects exist and breathe in business or non-business
environments. As a result, as part of the context, large
amounts of data about projects and project management
are constantly being collected.
Distributed databases have many advantages, such as:
• Lower Price
• Performance Improvement
• Better Calculation

10. The fact is that the role of the project manager has
become more and more complex, and lots of conflicting
challenges got to be addressed. The project manager
doesn't got to be a knowledge scientist, but being
conversant in some big data tools and techniques can
assist you gain more insights.
In other words, if you're a project management
professional wanting to manage big data projects, then
you'll make an instantaneous impact without having to
travel back to high school for a PhD. In data science or
statistics.

11. Your present project management and soft skills are
likely ultimate for establishing the framework for a
replacement or existing Big Data project team and
their projects. you only got to enhance the talents
and knowledge you have already got .
This is where Tonex training can help.

12. Tonex Offers Big Data for Project and Program
Managers Training
participants will find out how to profit from big data
in their projects and programs

13. Big Data For Project And Program Managers Training
provides you with the tools, concerns, and risks
related to the large data analytics in project,
program, and portfolio management.
This course will cover all the methods, cautions, and
concerns of massive data analytics in project
management. Participants will understand the
problems and opportunities of big data from the
perspective of project management.

14. This course will introduce you the prevailing
approaches and methods used for giant data
analytics in order that , supported your need, you'll
choose what serves the requirements of your
organization the simplest .
Tonex also will show you ways the large Data
benefits are often converted into useful visions and
offer helpful tool for planning and decision-making.

15. Why does one Need This Training?
• Need project managers with big data expertise
and business awareness
• Must have expert judgment ability to use
technology
• The plan manager should assist in expanding
and coordinating tasks throughout the project

16. Audience
• Project managers
• Program managers
• Big data analytics
• Decision makers of organizations
• Strategic leaders
• Executives

17. Training Objectives
• Describe the big data analytics
• Explain the business values of massive data
• Talk about the opportunities and challenges of
using big data
• Choose if big data analytics serve their client’s
interest, situation and knowledge
• Manage data analytic projects
• Assess risks related to the large data
• Distinguish between a knowledge analytic
project and a fishing expedition

18. Training Objectives
• Decide the best approach
• Conclude the time to stop the analysis
• Talk about how project management can be used
to sustain your data analytics capability
• Elaborate how big data can be used to secure the
progress of the project
• Identify what analytics should be implemented

19. Course Outline:
• Overview to Big Data and Project/Program
Management
• Project Management Process
• Where Does Big Data Analytics expertise is
Required?
• Introduction to Big Data Management
• Big Data Challenges
• The Status of Big Data Management
• Data Science Methods
• Technical Practices for Big Data Management

20. Course Outline:
• Analytic Exercises and Big Data Management
• Applicable Programming Languages
• Corporation Practices for Big Data Management
• Top Priorities of Big Data Management
• Choosing the Best Strategy
• Organizational Leadership
• Tonex Hands-On Sample Workshop

21. Learn More:
Big Data For Project and Program Managers Training
https://www.tonex.com/training-courses/big-data-
project-program-managers-training/