Error: GPG key retrieval failed: [Errno 14] PYCURL ERROR 6 - "Couldn't resolve host 'archive.cloudera.com'"

Cloudera Manager Installation Problem


[root@master cloudera-manager-installer]# tail -f 2.install-oracle-j2sdk1.7.log
Setting up Install Process
Resolving Dependencies
--> Running transaction check
---> Package oracle-j2sdk1.7.x86_64 0:1.7.0+update67-1 will be installed
--> Finished Dependency Resolution

Dependencies Resolved

========================================================================
 Package             Arch       Version              Repository            Size
========================================================================
Installing:
 oracle-j2sdk1.7     x86_64     1.7.0+update67-1     cloudera-manager     135 M

Transaction Summary
========================================================================
Install       1 Package(s)

Total download size: 135 M
Installed size: 279 M
Downloading Packages:
warning: rpmts_HdrFromFdno: Header V4 DSA/SHA1 Signature, key ID e8f86acd: NOKEY
Retrieving key from http://archive.cloudera.com/cm5/redhat/6/x86_64/cm/RPM-GPG-KEY-cloudera


GPG key retrieval failed: [Errno 14] PYCURL ERROR 6 - "Couldn't resolve host 'archive.cloudera.com'"

Solutions:

Install Perl


[root@master cloudera-manager-installer]# yum install perl -y

Overview of Apache Flink: the 4G of Big Data Analytics Frameworks

This is an introductory level talk about Apache Flink: a multi-purpose Big Data analytics framework leading a movement towards the unification of batch and stream processing or stream processing-first in the open source. With the many technical innovations it brings along with its unique vision and philosophy, it is considered the 4 G (4th Generation) of Big Data Analytics frameworks providing the only hybrid (Real-Time Streaming + Batch) open source distributed data processing engine supporting many use cases.

In this talk, you will learn more about:

1. What is Apache Flink stack? Its streaming dataflow execution engine, APIs and domain-specific libraries for batch, streaming, machine learning and graph processing.

2. How Apache Flink integrates with Hadoop and other open source tools for data input and output as well as deployment?

3. Why Apache Flink is an alternative to Apache Hadoop MapReduce, Apache Storm and Apache Spark?

4. How Apache Flink is used at Capital One?