Featured Post

14 Top Data Pipeline Key Terms Explained

-
Image
 Here are some key terms commonly used in data pipelines 1. Data Sources Definition: Points where data originates (e.g., databases, APIs, files, IoT devices). Examples: Relational databases (PostgreSQL, MySQL), APIs, cloud storage (S3), streaming data (Kafka), and on-premise systems. 2. Data Ingestion Definition: The process of importing or collecting raw data from various sources into a system for processing or storage. Methods: Batch ingestion, real-time/streaming ingestion. 3. Data Transformation Definition: Modifying, cleaning, or enriching data to make it usable for analysis or storage. Examples: Data cleaning (removing duplicates, fixing missing values). Data enrichment (joining with other data sources). ETL (Extract, Transform, Load). ELT (Extract, Load, Transform). 4. Data Storage Definition: Locations where data is stored after ingestion and transformation. Types: Data Lakes: Store raw, unstructured, or semi-structured data (e.g., S3, Azure Data Lake). Data Warehous...
Post a Comment

The Real Use of Git in DevOps Environment

-
Why you need Git? Here's well explained with differences among Git, GitFlow and GitHub.

Git is a tool


Git in devops



It is created by Linus Torvalds, the creator of the Linux system. The tool was created to help Linux developers control the development flow among many developers around the world. It helps to solve conflicts, track the modifications, or even revert the configurations that were working before and stopped working in a new version.


To install Git, you can access the following link: https://git-scm.com/download/win


The installation process is the same as we did for all Windows applications; it is just Next, Next, and Finish.

After the installation, you will find a new program called Git Bash, which allows you to create your local repos and use the Git commands to create versions of your application.


GitFlow


Now, when we start working on a project, we have the code files that are already in production, and we cannot work in the main branch, because of the CI/CD pipelines. We need to generate a new version of our software with the complete code.

Let's commit the first version of the code, which will be shared among all the developers working on the same project: PS

C:\Users\1511 MXTI\Chapter09> git add --all PS C:\Users\1511 MXTI\Chapter09> git commit -m "uploading the scaffold of the project" [master (root-commit) f6284bf] uploading the scaffold of the project 1 file changed, 3 insertions(+) create mode 100644 code.txt


If we run the git status again, nothing is untraced or pending to commit: PS C:\Users\1511 MXTI\Chapter09> git status On branch master nothing to commit, working tree clean


To check the branches you have, run the following command: PS C:\Users\1511 MXTI\Chapter09> git branch * master.

GitHub


The commands ran in the local machine and in a local environment. It was just the basic steps, but I am pretty sure that with these commands you will be able to do 80% of your work every day. If you cannot, there are many tools to help you with the Git commands, like git Kraken, or you can even use plugins for Visual Studio Code.

We need to have in mind that as bigger as your team is, you will have more conflicts and more changes happening at the same time.

To share our code, we can use many tools, like GitLab, GitHub, Bitbucket. There are dozens of services to help you with it. Let's use GitHub because it is the most famous. But, for some of my personal projects, I use Bitbucket, because we can have unlimited private repos.


You can create your own GitHub account for free on their website:

https://github.com/

Comments

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

How to Fix datetime Import Error in Python Quickly

-
Image
Here's a quick resolution for import datetime Python error . The reason is your .py python script name and datetime  are the same. I'll show you how this error happens and its resolution.   Here's the Resolution for ImportError I've created a script called 'datetime.py.' to check whether the minute value is 'odd' or not. During the import of my python script, I got the import error cannot import name datetime. My Script: datetime.py My script's intention is to find whether the minute value is odd or not. Python Logic from datetime import datetime odds = [ 1 , 3 , 5 , 7 , 9 , 11 , 13 , 15 , 17 , 19 , 21 , 23 , 25 , 27 , 29 , 31 , 33 , 35 , 37 , 39 , 41 , 43 , 45 , 47 , 49 , 51 , 53 , 55 , 57 , 59 ] right_this_minute = datetime.today().minute if right_this_minute in odds: print ( "This minute seems a little odd." ) else : print ( "Not an odd minute." ) ImportError I have imported my datetime.py from Linux. It gives an error ...
Read more

SQL Query: 3 Methods for Calculating Cumulative SUM

-
Image
SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than...
Read more

Big Data: Top Cloud Computing Interview Questions (1 of 4)

-
Image
The below are frequently asked interview questions on Cloud computing: 1) What is the difference between Cloud and Grid? Grid: -Information service -Security Service -Data management -Execution Manageement Cloud: - Maintains up-to-date information of resources -Create VMs according to user requirement -Application deploment -User management 2) What are the different cloud standards? -Interoperability standards -Security standards -Portability Standards -Governance and Risk standards 3) What are the two different sub-systems in Cloud computing ? -Management sub system -Resource sub system 4)What is Cloud compouting? The promise of cloud computing is ubiquitous access to a broad set of applications and services, which are delivered over the network to multiple customer. 5) Why we need specialized network for Cloud services? The public Internet is the simplest choice for delivering cloud-based services. In this model, the cloud provider simply purchases Inter...
Read more