o365beat | Elastic Beat for fetching and shipping Office 365 audit | Predictive Analytics library

 by   counteractive Go Version: v1.5.1 License: Non-SPDX

kandi X-RAY | o365beat Summary

kandi X-RAY | o365beat Summary

o365beat is a Go library typically used in Analytics, Predictive Analytics applications. o365beat has no bugs, it has no vulnerabilities and it has low support. However o365beat has a Non-SPDX License. You can download it from GitHub.

O365beat is an open source log shipper used to fetch Office 365 audit logs from the Office 365 Management Activity API and forward them with all the flexibility and capability provided by the beats platform (specifically, libbeat). Note: Filebeat officially supports o365 log collection using the o365 module as of version 7.7.0 (source). For most users we expect the best choice is to move to that solution, to ensure the greatest compatibility with the overall Elastic Stack.
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            kandi-support Support

              o365beat has a low active ecosystem.
              It has 53 star(s) with 20 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 9 open issues and 42 have been closed. On average issues are closed in 57 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of o365beat is v1.5.1

            kandi-Quality Quality

              o365beat has 0 bugs and 0 code smells.

            kandi-Security Security

              o365beat has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              o365beat code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              o365beat has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              o365beat releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 616 lines of code, 38 functions and 10 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed o365beat and discovered the below as its top functions. This is intended to give you an instant insight into o365beat implemented functionality, and help decide if they suit your requirements.
            • listAvailableContent returns a list of available available content types .
            • Config reads and parses the devtools config file
            • New returns a new O365beat beat
            • decodePkcs12 decodes a PEM - encoded certificate and private key .
            • Package runs the package .
            • Run the root command
            • Init initializes asset fields
            • CrossBuildGoDaemon is the same as CrossBuildGoDaemon .
            • BuildGoDaemon runs go daemon
            • GoTestIntegration runs the devtools .
            Get all kandi verified functions for this library.

            o365beat Key Features

            No Key Features are available at this moment for o365beat.

            o365beat Examples and Code Snippets

            Schema
            Godot img1Lines of Code : 22dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
            # from: https://docs.microsoft.com/en-us/office/office-365-management-api/office-365-management-activity-api-schema
            # to: https://www.elastic.co/guide/en/ecs/current/ecs-client.html
            
            processors:
              - convert:
                  fields:
                    - {from: Id, to: 'ev  
            O365beat,Getting Started with o365beat
            Godot img2Lines of Code : 19dot img2License : Non-SPDX (NOASSERTION)
            copy iconCopy
            o365beat:
              # pull secrets from environment (e.g, > set -a; . ./ENV_FILE; set +a;)
              # or a key store (https://www.elastic.co/guide/en/beats/filebeat/current/keystore.html)
              # or hard-code here:
              tenant_domain: ${O365BEAT_TENANT_DOMAIN:}
              clien  
            Receive with Logstash
            Godot img3Lines of Code : 5dot img3License : Non-SPDX (NOASSERTION)
            copy iconCopy
            input {
              beats {
                port => "5044"
              }
            }
              

            Community Discussions

            QUESTION

            will TensorFlow utilize GPU for predictive Analysis?
            Asked 2020-Nov-21 at 21:35

            GPU is good for parallel computing but the problem is some machine learning libraries don't utilize the GPU, unless that machine learning based on image processing or some sort of graphics processing, what if I am using machine learning for predictive Analytics? do libraries like TensorFlow utilize the GPU? or they use only CPU? or can I choose which processing unit to use? whats the deal here?

            note: predictive Analysis requires no graphics processing.

            ...

            ANSWER

            Answered 2020-Nov-21 at 21:35
            The short answer: yes, it will! The slightly longer answer:

            The computation that happens in the GPU in any of the machine learning frameworks that support GPUs is not limited to graphical processing. For instance, if your model is a simple logistic regression, a framework such as TensorFlow will run it on the GPU if properly configured.

            The advantage of GPUs for machine learning is that training big neural networks benefits greatly from the high level of parallelism that the GPUs offer.

            If you want to know more about this, I'd recommend you start here or here.

            some things to consider:
            • how much a model will benefit from running in the GPU will depend on how much it will benefit from parallel computation in general.
            • Deep Learning models can be applied to predictive analytics, as well as more classical machine learning models. Bear in mind that neural nets are possibly the category of models that will benefit inherently from the GPU (see links above).
            • Even though running models using GPUs (or even more specialised hardware) can bring benefits, I would suggest that you don't choose a framework and, especially, don't choose an algorithm based solely on the fact that it will benefit from parallelism, but rather look at how appropriate a given algorithm is for the data you have.

            Source https://stackoverflow.com/questions/64948197

            QUESTION

            Restructuring Pandas Dataframe for large number of columns
            Asked 2020-Nov-01 at 19:39

            I have a pandas dataframe which is a large number of answers given by users in response to a survey and I need to re-structure it. There are up to 105 questions asked each year, but I only need maybe 20 of them.

            The current structure is as below.

            What I want to do is re-structure it so that the row values become column names and the answer given by the user is then the value in that column. In a picture (from Excel), what I want is the below (I know I'll need to re-name my columns, but that's fine once I can create the structure in the first place):

            Is it possible to re-structure my dataframe this way? The outcome of this is to use some predictive analytics to predict a target variable, so I need to re-strcture before I can use Random Forest, kNN, and so on.

            ...

            ANSWER

            Answered 2020-Nov-01 at 19:39

            You might want try pivoting your table:

            Source https://stackoverflow.com/questions/64630691

            QUESTION

            Display data from two json files in react native
            Asked 2020-May-17 at 23:55

            I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files

            ...

            ANSWER

            Answered 2020-May-17 at 23:55

            The new object to get params in React Navigation 5 is:

            Source https://stackoverflow.com/questions/61859411

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install o365beat

            The easiest way to get started with o365beat is to use the pre-built binaries available in the latest release.
            Golang 1.7
            To build the binary for O365beat run the command below. This will grab vendor dependencies if you don't have them already, and generate a binary in the same directory with the name o365beat.

            Support

            Due to a quirk in the libbeat build system, the default config file contains an additional processors section that gets merged into the o365beat.yml and shadows the custom processors used by this beat. You must manually remove the second processors section (the one that contains add_host_metadata and add_cloud_metadata, neither of which is particularly useful), or merge the two, to avoid problems. Please see this issue for more information, we're working on a durable fix. Please update to release v1.4.3 or later. There were a few cases where the PublisherIdentifier was not appended to requests, which could cause API throttling in certain cases, which has now been fixed.
            Find more information at:

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