Data is being generated at all times. Every digital process and social media exchange produces it. Big Data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy.
Development Tools
When it comes to tools for working with Big Data, this area has a seen a lot of activity recently with the launch of many new Big Data tools. Many of the most noteworthy projects are managed by the Apache Foundation open source solutions in general and Apache Hadoop in particular dominate the landscape. Some of the tools are:
Apache Spark
Hadoop
YARN
Apache Kafka
Sqoop
Flume
Impala
Companies
Cloudera
Databricks
HDInsight
Amazon EMR
MapR
Tableau
Top Conferences
Strata Data Conference - O'Reilly Media |
About | Tableau Conference 2017 |
Books
Hadoop: The Definitive Guide, 4th Edition - O'Reilly Media |
Focal Person
For more details please contact
Dr. Hafiz Adnan Habib
Chairman
Department of Computer Science
Phone No +92 51 9047 296
Email [email protected]