The document discusses tools and techniques for managing big data, including understanding how to optimize queries, leverage indexes, create skinny tables, develop metadata tables, and push processing to the client side. It also defines big data as large data sets that are processed more efficiently than with traditional tools, and notes big data has the properties of volume, velocity, variety, variability and complexity. Analyzing big data can provide insights into consumer preferences and opportunities to increase business growth.

1. What are the tools and techniques for managing
Big Data in your Org?
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2. What is Big Data?
Big Data is a compendium of all the processes and big data sets that
process or manage things efficiently and quickly as compared to traditional
computing tools and techniques.
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3. Big Data comes up with some properties that
are described below :
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Volume Velocity Variet
y
Variability Complexity

4. Why does Big Data need to be managed
and analyzed?
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● Analyzing the data can help you get a crystal clear view of consumer
preferences.
● Open source and free analytical tools can be utilized to increase company
growth curve.

5. Step 1: Understand what you can control
and what you can't
● Developers can only optimize the SQL query for fetching data
from the Salesforce database through a custom inbuilt
Force.com query optimizer.
● With Query plan tool, we can get an idea of how can we
modify a query to perform better and effectively.
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6. Step 2: Understand how your data is
Conceptualized
● Data is stored in tables and each data table is made of columns that
represent a particular type of data.
● In Agile, the class- diagrams that are derived from use cases have replaced
entity relationship modeling
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7. Step 3: Understand and leverage
indexes
● Salesforce offers custom indexes to speed up and you can
create custom indexes by contacting the Salesforce
customer support.
● Salesforce maintains a statistics table that stores
information about the records that are kept in the
organization.
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8. Step 4: Demand for skinny table
Things you need to consider before creating a Skinny
table:
1. Tables can contain a maximum of 100 columns.
2. Tables cannot contain fields from other objects.
3. Tables are not copied to sandbox organizations. For
activation in Sandbox organization, contact
Salesforce.com Customer Support.
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9. Step 5: Develop Metadata tables where
possible
Metadata in Salesforce defines the structure of objects and their fields and page
layouts related to them.
With Salesforce, you need to use Metadata APIs and few lines of code to get a
list of all the Salesforce objects and fields.
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10. Step 6: Push processing to Client side
with Lightning
The Lightning Component Framework is optimized for better performance. It
is all about building rich-UI applications utilizing more of client-side
features.
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11. Here at Cloud Analogy, we provide Big Data management tools and solutions
that make the data analysis of Big Data easy and efficient. Feel free to contact
us and find out how our certified experts can help you in handling Big Data in
innovative ways.
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12. Thank
you
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