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Can I get from starting of snowflake, I have experience on DBA.

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sure..we will upload asap

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Thank You for Your comment, let me check to get the jSON FILES Please subscribe our channel for regular updates and it Motivates us a lot 🙏🏼

Good morning Mounika! I'm glad the explanation was helpful. Here's some information to help you improve your Snowflake skills and find real-time workshops: Freelance Work and Real-Time Workshops on Snowflake: 1. Freelance Projects: Freelance platforms: Look for Snowflake projects on platforms like Upwork, Freelancer.com, and Arc.dev. These platforms connect freelancers with businesses needing help on various projects, including Snowflake development. Direct connections: Network with other data professionals or companies using Snowflake. They might have freelance opportunities for someone with your skills. 2. Real-Time Workshops: Snowflake Training: While Snowflake doesn't offer public real-time workshops, they do provide a comprehensive training platform with on-demand courses and labs. You can explore these at learn.snowflake.com/en/courses. Third-Party Platforms: Some companies offer real-time or live online workshops on Snowflake. Explore platforms like Udemy, Coursera, or Pluralsight for such workshops. Meetups and Events: Stay updated on local data meetups or conferences that might feature live workshops or sessions on Snowflake. Here are some resources for finding events: Meetup.com: www.meetup.com/ Eventbrite: www.eventbrite.com/ Data Science Central: www.datasciencecentral.com/ Tips for Finding Opportunities: Focus on your skills: Highlight your strengths in Snowflake, including specific tools, tasks, or functionalities you're proficient in. Build a portfolio: Consider creating a portfolio showcasing your Snowflake projects, even if they were personal projects. Network actively: Connect with data professionals on LinkedIn or online forums to stay updated on opportunities. Additional Resources: Snowflake Documentation: docs.snowflake.com/ Snowflake Certification: Consider pursuing the Snowflake Data Analyst Professional certification to validate your skills. By combining freelance work, real-time workshops, and self-directed learning, you can effectively improve your Snowflake expertise and bridge your career gap.

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sure, will make for future sessions

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thank you

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thank you for your compliment, sure will make better sessions in future with all these updates

Snowflake Integration object is used for making relationship between the snowflake and external cloud storage. if you want to load the data file from external storage, first of all we need to create an Intergation object and in that intergation object we are going to define the location of the file and role(which is used for accessing the files). whereas snowpipe is used for continous data loading, sometimes in relatime we will get the data for every one hour or within certain time in microbatches. so once the data is available in storage locations, cloud vendor will send an notification to the snowflake. once snowflake receives notification it will load the data.

Integration Objects vs. Pipes in Dataflow Integration Objects and Pipes are fundamental components in dataflow systems, each serving distinct purposes. While they might appear similar at first glance, understanding their differences is crucial for effective data processing. Integration Objects Purpose: Integration objects are designed to connect dataflow systems to external sources or destinations. They act as bridges between the internal processing of data and the external world. Functionality: Integration objects handle tasks such as: Reading data from external sources (e.g., files, databases, APIs) Writing data to external destinations (e.g., files, databases, APIs) Transforming data to match the requirements of the external system Types: Common types of integration objects include: File readers/writers: For reading from or writing to files in various formats (e.g., CSV, JSON, XML) Database connectors: For interacting with databases (e.g., MySQL, PostgreSQL, SQL Server) API connectors: For communicating with web APIs (e.g., REST, SOAP) Message queues: For integrating with messaging systems (e.g., RabbitMQ, Kafka) Pipes Purpose: Pipes are used to define the flow of data within a dataflow system. They represent the logical connections between different processing stages or components. Functionality: Pipes handle tasks such as: Transmitting data from one component to another Applying transformations to the data (e.g., filtering, mapping, aggregation) Controlling the flow of data (e.g., branching, looping) Types: Pipes can be categorized based on their functions: Data transformation pipes: Apply transformations to the data (e.g., map, filter, reduce) Data flow control pipes: Control the flow of data (e.g., branch, loop) Data storage pipes: Store data temporarily (e.g., buffer) When to Use Which Integration Objects: Use integration objects when you need to interact with external systems or sources. They are essential for connecting your dataflow system to the outside world. Pipes: Use pipes to define the internal logic and flow of data within your dataflow system. They are crucial for transforming, filtering, and controlling the data as it moves through the pipeline. In summary, integration objects are the gateways to the external world, while pipes are the building blocks of the internal dataflow process. By understanding their roles and differences, you can effectively design and implement robust dataflow systems.

Adding additional tools like Cloud and DBT, Python would help you in getting Job

sure we will make a seperate video for the same, here will explain little short . Certainly! The "Control Framework" in the context of a Snowflake project typically refers to a set of guidelines, best practices, and processes that help manage and maintain the data architecture, data pipelines, and overall data management within a Snowflake data warehouse environment. It ensures consistency, reliability, and scalability in your data operations. Here's an overview of how a control framework might work for a Snowflake project: Key Elements: Governance: Define data standards, ownership, and access rules. Environments: Separate environments (dev, test, prod) with proper security. Data Model: Design logical/physical models for data organization. ETL/ELT: Implement structured data extraction, loading, and transformation. Version Control: Manage code changes and deployments. Testing: Ensure data quality with automated validation. Monitoring: Watch query performance and resource utilization. Backup/Recovery: Plan for data protection and disaster scenarios. Documentation: Maintain architecture and process documentation. Improvement: Continuously enhance based on feedback and lessons learned.

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No need, we will teach from scratch,.

That's great to hear! Integrating Amazon S3 with Snowflake can really streamline your data storage and processing.

I have got same error. I have ensured that the policy is correct. Still same error. Did you find any solution?

try this: GRANT USAGE ON STAGE project_aws_stage TO ROLE accountadmin; Change the stage name to match yours

yes, we are starting new batch from 23rd Nov. 18th we have master class. please enroll from our webiste Datavizon.com

use TO_CHAR() function

try this: GRANT USAGE ON STAGE project_aws_stage TO ROLE accountadmin; Change the stage name to match yours

pls reach us on 9916961234 for more details

its a snowflake one

Please call to +91-9926961234/8527506810

Presentation skills also matters.. Usually we will not get rejected for project.. We need to be confident in explaining

this is not a project this is just a one task

Key components in Snowflake: Virtual Warehouses: Compute resources for query processing. Database: Organizes data. Schema: Contains tables and objects. Table: Stores data (structured, semi-structured, external). Stage: Loads data from external sources. Warehouse: Executes queries. Materialized Views: Precomputed data summaries. Streams: Captures and replicates changes. Tasks: Automates operations. Security: Role-based access, encryption. Data Sharing: Secure data sharing between accounts. Data Marketplace: Access to third-party data and services.

did u mean course price sir?

can you try recreating it please

try this: GRANT USAGE ON STAGE project_aws_stage TO ROLE accountadmin; Change the stage name to match yours