Posts

Showing posts with the label Automation

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
Read more

Best Testing Practices You need for DevOps Projects

-
Image
Testing is the critical phase in DevOps. The process of DevOps is to speed up the deployment process. That means there are no shortcuts in testing. Covering most relevant test cases is the main thing the tester has to focus. Requirements  Good maintainable code Exhaustive coverage of cases Training documents to Operations team Fewer bugs in the bug tracker Less complex and no redundant code Testing Activities   The team to use Tools to check the quality of code Style checker helps to correct code style Good design avoids bugs in production Code performance depends on the code-quality Bugs in production say poor testing  Tester Roles  Good quality means zero bugs in production . Design requirements a base to validate testing results. Automated test scripts give quick feedback on the quality of code. Right test cases cover all the functional changes. The Bottom Line The DevOps approach is seamless integration between Developmen...
Post a Comment
Read more

Top Skills You need for Automation Career

-
Image
According to KPMG -Process automation provides a means to integrate people in a software development organization with the development process and the tools supporting that development.  Successful career you need these Skills. What you will achieve by Automation By automating processes, you can boost your efficiency and help ensure standardized handling of repetitive workflow steps. Organiz ation’s benefits are translation projects that can be realized in a shorter time for less money. Skill set you need: Programming Languages (C++/Java/Scala), OOPs Concepts - MUST Unix/Linux - MUST Automation INDIA Jobs  |  USA Automation developer Jobs Automation Development/Scripting Experience - MUST XML/Xpath - Optional Perl/Python/Shell Scripting - Optional SQL/Sybase/Mongo DB - Optional Web Services - SOAP or REST API - Optional Additional Skills: Puppet/Chef/CFEngine experience  Experience with system packaging tools; e.g. RPM ...
Post a Comment
Read more