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What is Pipeline in DevOps?
A DevOps Pipeline is a collection of automated processes and tools that are used by the development and operations teams to compile, assemble, test, and deploy software code more quickly and easily.
A DevOps Pipeline is a collection of automated processes and tools that are used by the development and operations teams to compile, assemble, test, and deploy software code more quickly and easily.
See lessWhat is Amazon cloud watch? What does it accomplish?
Amazon CloudWatch is an AWS monitoring service. It enables you to collect and track metrics, collect and monitor log files, issue alarms, and quickly react to modifications in resources of your AWS CloudWatch.
Amazon CloudWatch is an AWS monitoring service. It enables you to collect and track metrics, collect and monitor log files, issue alarms, and quickly react to modifications in resources of your AWS CloudWatch.
See lessIs it possible to create PySpark DataFrame from the external data source?
Dataframes in PySpark are distributed collections of data that organize data into named columns and can be run on different machines. External databases, structured data files, or existing resilient distributed datasets (RDDs) can be used to populate these dataframes.
Dataframes in PySpark are distributed collections of data that organize data into named columns and can be run on different machines. External databases, structured data files, or existing resilient distributed datasets (RDDs) can be used to populate these dataframes.
See lessWhat are the differences between NAT Gateways and NAT Instances?
NAT gateways and NAT instances have the same functions. While NAT gateways are maintained by AWS, the NAT instances are maintained by the individuals. Security groups cannot be assigned in NAT gateways but in NAT instances it is possible.
NAT gateways and NAT instances have the same functions. While NAT gateways are maintained by AWS, the NAT instances are maintained by the individuals. Security groups cannot be assigned in NAT gateways but in NAT instances it is possible.
See lessQuery mongodb without using collections in pyspark.
We can use option("pipeline"," ") for this to load dataframe on Pyspark.
We can use
See lessoption("pipeline"," ")
for this to load dataframe on Pyspark.How to install mongodb on fedora linux?
Update your system using the command: sudo dnf update Now, add MongoDB repositories with this command: sudo nano /etc/yum.repos.d/mongodb.repo [mongodb-4.2] name=MongoDB Repository baseurl=https://repo.mongodb.org/yum/redhat/7/mongodb-org/4.2/x86_64/ gpgcheck=1 enabled=1 gpgkey=https://www.mongodb.oRead more
Update your system using the command:
sudo dnf update
Now, add MongoDB repositories with this command:
sudo nano /etc/yum.repos.d/mongodb.repo
[mongodb-4.2]
name=MongoDB Repository
baseurl=https://repo.mongodb.org/yum/redhat/7/mongodb-org/4.2/x86_64/
gpgcheck=1
enabled=1
gpgkey=https://www.mongodb.org/static/pgp/server-4.2.asc
EOF
Install MongoDB :
See lesssudo dnf -y install mongodb-org
Write a common function for multiple lambdas.
You can use lambda layers for this. Lambda layers make it simple to bundle libraries and other dependencies for implementation with Lambda functions. Using layers decreases the size of submitted deployment archives and speeds up code distribution.
You can use lambda layers for this.
See lessLambda layers
make it simple to bundle libraries and other dependencies for implementation with Lambda functions. Using layers decreases the size of submitted deployment archives and speeds up code distribution.