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4.3 (2384 Ratings)
Snowflake is a cloud-based elastic data warehouse or Relational Database Management System (RDBMS). Snowflake enables data storage, processing, and analytic solutions that are faster, easier to use, and far more flexible than traditional offerings. Snowflake supports both transformation during (ETL) or after loading (ELT). Snowflake works with a wide range of data integration tools, including Informatica, Talend, Tableau, Matillion and others
Curriculum Designed by Experts
1. Creation and uses of Databases
2. Creation and uses of Schemas
3. Creation and uses of Warehouses
a) Scaling of warehouses up and down, in and out
b) Auto resume and auto suspend
b) Creation of scaling policies in warehouses
4. Creation of Tables (All types)
a) Standard tables
b) Transient tables
c) Temporary tables
d) External tables
5. DDL and DML commands in snowflake including parameters including (retention, alter session, get ddl command, show parameters)
6. Auto commit and manual commit of DML commands.
7. Adding and removing constraints including not null constraint.
8. Drop and undrop database objects .
9. Using retention time and failsafe in different snowflake editions.
10. Queryid and query tag in snowflake and using them for monitoring performance.
11. Creation of views and secure views.
12. Materialized views and secure materialized view.
13. Roles of sysadmin, account admin and secureadmin.
14. Creation of masking policy and applying on tables (for data security).
15. Revoker role and current role.
16. Creation and using user defined functions and returning values (one or entire table data).
17. Creation of stages (Internal, User and table).
18. Using different symbols for different stages (while accessing the stage).
19. Using put command to load data from files to stages.
20. Creation of file formats (CSV and JSON format).
21. Json file loading, using copy command and merge statement
22. Csv file loading using copy command and merge statements
23. Uses of information schema in snowflake.
24. Creation of procedures.
25. Executing procedures using call command.
26. Creation of streams for monitoring load process and consuming streams
27. Automation of procedures and sql commands using tasks.
28. Resuming and suspending tasks.
29. Data unloading of json files from target tables to staging tables and finally using get command to download in local systems .and using object construct.
30. Remove command to delete data from stage tables for both csv and json formats
31. Data unloading of csv files from target tables to staging tables and finally using get command to download in local systems.
32. User creation and role creation
33. Defining roles and granting to users
34. Grants to users for schemas, datbases, warehouses, stages, tables and other database objects.
35. Creation of resource monitor for warehouse monitoring and sending notifications to end users.
36. Creation of datamodels using constraints (primary key, unique, not null etc.)
37. Creation and uses of snowpipes.
38. Refreshing snowpipes using tasks.
39. Different DWH cocepts-SCD1, SCD2, SCD3, Datamart, Snowflake schema, Star schema, Fact tables, Dimension tables, Factless fact tables, Fully additive and Semi additive fact tables.
Covers each topics with Real Time Examples . Covers More than 250+ Real Time Scenarios which is divided into L1 ( Basic ) + L2 ( Intermediate) and L3 ( Advanced ) . Trainer from Real Time Industry .This is completely hands-on training , which covers 90% Practical And 10% Theory
We give Combo Pack of RHEL 6 with RHEL 7 , to make sure all the candidate will get at least 5+ Year experience knowledge in Redhat Linux after attending this course.Covers SA1 + SA2 + SA3 topics in Details from the very basic to advanced level .
Complete RHCSA and RHCE Exam Preparations.Appear for Redhat Global Certification Exam At any time After the course – No need to wait to get schedule from Redhat .At your convenient time , you can book and appear for exam using our Individual Exam Delivery System called KOALA
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Infrastructure Provisioning
Implementing automated infrastructure provisioning and configuration management using Ansible. This may include setting up servers, networking devices, and other infrastructure components using playbooks and roles.
Applications Deployment
Automating the deployment and orchestration of applications across development, testing, and production environments. This could involve deploying web servers, databases. middleware, and other application components using Ansible
Continuous Integration
Integrating Ansible into CI/CD pipelines to automate software. build, test, and deployment processes. This may include automating the creation of build artifacts, running tests, and deploying applications to various environments.