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Modifying evolution image in Big data course (#48)
Co-authored-by: Aditya Kamat <akamat@akamat-mn1.linkedin.biz>
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@@ -57,23 +57,24 @@
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Output:
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Output:
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```mysql
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```
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7,Komal,Nayak,24,9848022334,trivendram
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7,Komal,Nayak,24,9848022334,trivendram
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8,Bharathi,Nambiayar,24,9848022333,Chennai
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8,Bharathi,Nambiayar,24,9848022333,Chennai
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5,Trupthi,Mohanthy,23,9848022336,Bhuwaneshwar
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5,Trupthi,Mohanthy,23,9848022336,Bhuwaneshwar
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6,Archana,Mishra,23,9848022335,Chennai
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6,Archana,Mishra,23,9848022335,Chennai
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```
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```
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3. [**Spark**](https://spark.apache.org/)
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3. [**Spark**](https://spark.apache.org/)
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1. Spark provides primitives for in-memory cluster computing that allows user programs to load data into a cluster’s memory and query it repeatedly, making it well suited to machine learning algorithms.
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1. Spark provides primitives for in-memory cluster computing that allows user programs to load data into a cluster’s memory and query it repeatedly, making it well suited to machine learning algorithms.
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4. [**Presto**](https://prestodb.io/)
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4. [**Presto**](https://prestodb.io/)
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1. Presto is a high performance, distributed SQL query engine for Big Data.
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1. Presto is a high performance, distributed SQL query engine for Big Data.
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2. Its architecture allows users to query a variety of data sources such as Hadoop, AWS S3, Alluxio, MySQL, Cassandra, Kafka, and MongoDB.
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2. Its architecture allows users to query a variety of data sources such as Hadoop, AWS S3, Alluxio, MySQL, Cassandra, Kafka, and MongoDB.
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3. Example presto query:
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3. Example presto query:
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```mysql
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```
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use studentDB;
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use studentDB;
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show tables;
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show tables;
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SELECT roll_no, name FROM studentDB.studentDetails where section=’A’ limit 5;
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SELECT roll_no, name FROM studentDB.studentDetails where section=’A’ limit 5;
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```
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```
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</br>
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</br>
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# Data Serialisation and storage
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# Data Serialisation and storage
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