├── README.md
├── a(1).pdf
├── a(10).pdf
├── a(11).pdf
├── a(12).pdf
├── a(13).pdf
├── a(14).pdf
├── a(15).pdf
├── a(16).pdf
├── a(17).pdf
├── a(18).pdf
├── a(19).pdf
├── a(2).pdf
├── a(20).pdf
├── a(21).pdf
├── a(3).pdf
├── a(4).pdf
├── a(5).pdf
├── a(6).pdf
├── a(7).pdf
├── a(8).pdf
└── a(9).pdf


/README.md:
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 1 | # Apache Flink Papers
 2 | 
 3 | <ul>
 4 | 
 5 |                              
 6 | 
 7 |  <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(1).pdf" style="text-decoration:none;">Lightweight Asynchronous Snapshots for Distributed Dataflows</a></li>
 8 | 
 9 |  <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(2).pdf" style="text-decoration:none;">Apache Flink: Stream and Batch Processing in a Single Engine</a></li>
10 | 
11 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(3).pdf" style="text-decoration:none;">The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in MassiveScale, Unbounded, OutofOrder Data Processing</a></li>
12 |  <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(4).pdf" style="text-decoration:none;">Efficient Pattern Matching over Event Streams</a></li>                              
13 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(5).pdf" style="text-decoration:none;">Apache Flink: Stream Analytics at Scale</a></li>
14 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(6).pdf" style="text-decoration:none;">Processing Big Data with Apache Flink</a></li>
15 |  <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(7).pdf" style="text-decoration:none;">A Comparative Study of Hadoop MapReduce,
16 | Apache Spark & Apache Flink for Data Science</a></li>
17 | 
18 |  <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(8).pdf" style="text-decoration:none;"> Analyzing Efficient Stream
19 | Processing on Modern Hardware</a></li>
20 |    <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(9).pdf" style="text-decoration:none;">Apache Flink in Current Research</a></li>
21 |   
22 |    
23 |  <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(10).pdf" style="text-decoration:none;">Apache Mahout:
24 | Machine Learning on Distributed Dataflow Systems </a></li>                              
25 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(11).pdf" style="text-decoration:none;">In-Transit Molecular Dynamics Analysis with Apache Flink</a></li>
26 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(12).pdf" style="text-decoration:none;">A Technological Survey On Apache Spark And Hadoop Technologies</a></li>
27 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(13).pdf" style="text-decoration:none;">Getting Started with Apache
28 | Spark</a></li>
29 | 
30 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(14).pdf" style="text-decoration:none;">Real-time Pattern Detection in IP Flow Data using Apache Spark</a></li>
31 |                               
32 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(15).pdf" style="text-decoration:none;">Data Optimization using Apache Flink</a></li>
33 | 
34 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(16).pdf" style="text-decoration:none;">Performance evaluation of Apache Hadoop and Apache Spark for parallelization of compute-intensive tasks</a></li>
35 | 
36 |   <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(17).pdf" style="text-decoration:none;">Comparison between Hadoop and Spark</a></li>   
37 |   
38 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(18).pdf" style="text-decoration:none;">Pipelined execution of stages in Apache Spark</a></li> 
39 | 
40 |   
41 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(19).pdf" style="text-decoration:none;">Adding data provenance support to Apache Spark</a></li> 
42 | 
43 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(20).pdf" style="text-decoration:none;">Flare: Optimizing Apache Spark with Native Compilation for Scale-Up Architectures and Medium-Size Data</a></li>
44 | 
45 | <li><a target="_blank" href="https://github.com/manjunath5496/Apache-Flink-Papers/blob/master/a(21).pdf" style="text-decoration:none;">Apache Flink: Distributed Stream Data Processing</a></li>
46 | </ul>
47 | 


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