Modifying evolution image in Big data course (#48)
Co-authored-by: Aditya Kamat <akamat@akamat-mn1.linkedin.biz>
This commit is contained in:
parent
e06dc62284
commit
e6b13b6f77
|
@ -57,23 +57,24 @@
|
|||

|
||||
|
||||
Output:
|
||||
```mysql
|
||||
```
|
||||
7,Komal,Nayak,24,9848022334,trivendram
|
||||
8,Bharathi,Nambiayar,24,9848022333,Chennai
|
||||
5,Trupthi,Mohanthy,23,9848022336,Bhuwaneshwar
|
||||
6,Archana,Mishra,23,9848022335,Chennai
|
||||
```
|
||||
|
||||
3. [**Spark**](https://spark.apache.org/)
|
||||
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.
|
||||
4. [**Presto**](https://prestodb.io/)
|
||||
1. Presto is a high performance, distributed SQL query engine for Big Data.
|
||||
2. Its architecture allows users to query a variety of data sources such as Hadoop, AWS S3, Alluxio, MySQL, Cassandra, Kafka, and MongoDB.
|
||||
3. Example presto query:
|
||||
```mysql
|
||||
use studentDB;
|
||||
show tables;
|
||||
SELECT roll_no, name FROM studentDB.studentDetails where section=’A’ limit 5;
|
||||
```
|
||||
```
|
||||
use studentDB;
|
||||
show tables;
|
||||
SELECT roll_no, name FROM studentDB.studentDetails where section=’A’ limit 5;
|
||||
```
|
||||
</br>
|
||||
|
||||
# Data Serialisation and storage
|
||||
|
|
Binary file not shown.
Before Width: | Height: | Size: 144 KiB After Width: | Height: | Size: 65 KiB |
Loading…
Reference in New Issue