Hadoop gives you power and scale via distributed storage (HDFS) and distributed computing (MapReduce). Using SQL gives you ease of use and standards. You can leverage existing Business Intelligence tools and SQL skills your organization already has to query, analyze and visualize your processed Big Data. You can then run standard SQL query which would trigger the MapReduce jobs to process the data on cluster and all the results of processing is stored in relational database, which is readily available to you for further analysis. Once the structured data is assembled, you can query, analyze and visualize this data using standard SQL syntax and other BI tools to achieve your Big Data analytics needs.

1. Hadoop Based SQL and Big Data Analytics
Solution

2. Hadoop Based SQL
Hadoop Based SQL and Big Data Analytics
Solution

3. What is SQL?
Hadoop Based SQL and Big Data Analytics
Solution

4. What is SQL?
Hadoop Based SQL and Big Data Analytics
Solution
• SQL (Structured Query Language) is a special-purpose programming language
designed for managing data held in a relational database management system
(RDBMS).

5. What is SQL?
Hadoop Based SQL and Big Data Analytics
Solution
• SQL (Structured Query Language) is a special-purpose programming language
designed for managing data held in a relational database management system
(RDBMS).
• Originally based upon relational algebra and tuple relational calculus, the scope of
SQL includes data insert, query, update and delete, schema creation and
modification, and data access control.

6. What is SQL?
Hadoop Based SQL and Big Data Analytics
Solution
• SQL (Structured Query Language) is a special-purpose programming language
designed for managing data held in a relational database management system
(RDBMS).
• Originally based upon relational algebra and tuple relational calculus, the scope of
SQL includes data insert, query, update and delete, schema creation and
modification, and data access control.
• SQL is an standard protocol used to request information from databases. Servers
which can handle SQL are known as SQL servers.

7. What is SQL?
Hadoop Based SQL and Big Data Analytics
Solution
• SQL (Structured Query Language) is a special-purpose programming language
designed for managing data held in a relational database management system
(RDBMS).
• Originally based upon relational algebra and tuple relational calculus, the scope of
SQL includes data insert, query, update and delete, schema creation and
modification, and data access control.
• SQL is an standard protocol used to request information from databases. Servers
which can handle SQL are known as SQL servers.
Relational Database

8. What is SQL?
Hadoop Based SQL and Big Data Analytics
Solution
• SQL (Structured Query Language) is a special-purpose programming language
designed for managing data held in a relational database management system
(RDBMS).
• Originally based upon relational algebra and tuple relational calculus, the scope of
SQL includes data insert, query, update and delete, schema creation and
modification, and data access control.
• SQL is an standard protocol used to request information from databases. Servers
which can handle SQL are known as SQL servers.
Query
Relational Database

9. What is SQL?
Hadoop Based SQL and Big Data Analytics
Solution
• SQL (Structured Query Language) is a special-purpose programming language
designed for managing data held in a relational database management system
(RDBMS).
• Originally based upon relational algebra and tuple relational calculus, the scope of
SQL includes data insert, query, update and delete, schema creation and
modification, and data access control.
• SQL is an standard protocol used to request information from databases. Servers
which can handle SQL are known as SQL servers.
Query
Data
Relational Database

10. SQL for Hadoop
Hadoop Based SQL and Big Data Analytics
Solution

11. SQL for Hadoop
Hadoop Based SQL and Big Data Analytics
Solution
• Hadoop gives you power and scale via distributed storage (HDFS) and distributed
computing (MapReduce).

12. SQL for Hadoop
Hadoop Based SQL and Big Data Analytics
Solution
• Hadoop gives you power and scale via distributed storage (HDFS) and distributed
computing (MapReduce). Using SQL gives you ease of use and standards. You can
leverage existing Business Intelligence tools and SQL skills your organization
already has, to query, analyze and visualize your processed Big Data.

13. SQL for Hadoop
Hadoop Based SQL and Big Data Analytics
Solution
• Hadoop gives you power and scale via distributed storage (HDFS) and distributed
computing (MapReduce). Using SQL gives you ease of use and standards. You can
leverage existing Business Intelligence tools and SQL skills your organization
already has, to query, analyze and visualize your processed Big Data.
• MapReduce uses batches of parallel processing jobs to sort through large volumes
of data. SQL, on the other hand, is used with nearly every relational database
system and huge numbers of people who know how to use it effectively to mine
and analyze data.

14. SQL for Hadoop
Hadoop Based SQL and Big Data Analytics
Solution
• Hadoop gives you power and scale via distributed storage (HDFS) and distributed
computing (MapReduce). Using SQL gives you ease of use and standards. You can
leverage existing Business Intelligence tools and SQL skills your organization
already has, to query, analyze and visualize your processed Big Data.
• MapReduce uses batches of parallel processing jobs to sort through large volumes
of data. SQL, on the other hand, is used with nearly every relational database
system and huge numbers of people who know how to use it effectively to mine
and analyze data.
• Allowing much faster SQL queries at scale makes big data analytics accessible by
many more people in the enterprise and fits in with existing workflows.

15. How QueryIO Converges Hadoop & SQL
Hadoop Based SQL and Big Data Analytics
Solution

16. How QueryIO Converges Hadoop & SQL
Hadoop Based SQL and Big Data Analytics
Solution
• It provides a framework which allows you to perform standard SQL queries on
your structured and unstructured Big Data. It also provides an easy to use
interface through which you can generate SQL queries and design reports to
represent your processed big data

17. How QueryIO Converges Hadoop & SQL
Hadoop Based SQL and Big Data Analytics
Solution
• It provides a framework which allows you to perform standard SQL queries on
your structured and unstructured Big Data. It also provides an easy to use
interface through which you can generate SQL queries and design reports to
represent your processed big data
• You can then run standard SQL query which would trigger the MapReduce jobs to
process the data on cluster and all the results of processing is stored in relational
database, which is readily available to you for further analysis.

18. How QueryIO Converges Hadoop & SQL
Hadoop Based SQL and Big Data Analytics
Solution
• It provides a framework which allows you to perform standard SQL queries on
your structured and unstructured Big Data. It also provides an easy to use
interface through which you can generate SQL queries and design reports to
represent your processed big data
• You can then run standard SQL query which would trigger the MapReduce jobs to
process the data on cluster and all the results of processing is stored in relational
database, which is readily available to you for further analysis.
• QueryIO also helps making data searchable over Hadoop cluster using SQL. To
help make unstructured data searchable on Hadoop Cluster, it stores the
metadata for each file stored on Hadoop in a relational database.

19. How QueryIO Converges Hadoop & SQL
Hadoop Based SQL and Big Data Analytics
Solution
• It provides a framework which allows you to perform standard SQL queries on
your structured and unstructured Big Data. It also provides an easy to use
interface through which you can generate SQL queries and design reports to
represent your processed big data
• You can then run standard SQL query which would trigger the MapReduce jobs to
process the data on cluster and all the results of processing is stored in relational
database, which is readily available to you for further analysis.
• QueryIO also helps making data searchable over Hadoop cluster using SQL. To
help make unstructured data searchable on Hadoop Cluster, it stores the
metadata for each file stored on Hadoop in a relational database.

20. Download QueryIO Now!
http://QueryIO.com/download/big-data-analytics-download.html
OR
Take a Demo
http://demo.QueryIO.com/queryio
Hadoop Based SQL and Big Data Analytics
Solution
“Its Free”