Big data analytics examines large volumes of data from both traditional and unstructured sources to discover hidden patterns and correlations that can provide competitive advantages. This analysis can be done with traditional tools and techniques like data mining and predictive analytics, but large, unstructured data may not fit traditional data stores. Integrating new big data infrastructures with existing systems and enabling conventional data warehouses to handle large volumes of data at scale are challenges. The big data analytics process involves acquiring data from various sources, organizing the information, performing advanced analysis, and making rapid decisions.

1. An overview of
BIG DATA ANALYTICS

2. Examine at high speed large
volumes of data to discover
hidden patterns, unknown
correlations, and so on to
provide competitive
advantages to organizations
and produce business
benefits such as marketing.

3. Analysis of large data
Can be done with traditional software tools
within advanced analytics techniques such as
data mining or predictive analysis. however
unstructured data sources used in large data
analysis may not fit traditional data stores

4. The big
challenge
● Integrate new big data
infrastructures with
existing data
infrastructures.
● The difficulty that
conventional data
warehouses can scale to
terabytes of data or
support advanced analytics.

5. Processing of large
volumes of data

6. Acquisition
Information
Organization
Analysis Decision

7. Acquisition
Data will come from
traditional data sources
and from a large amount
of unstructured data
sources that could be
stored in NoSQL
databases and "in
memory".

8. Information
Organization
To prepare and treat the
information in order to
obtain the best possible
results and on which the
advanced analytical
techniques can be
applied as efficiently
as possible.

9. Analysis
Analyze all information
with access to all data
with advanced
statistical tools such
as social and opinion
mining.

10. Decision
Make decisions in real
time or as quickly as
possible so that they
can positively affect
the business of the
company.