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Big Data LDN
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Snowflake
Register for this course and see more details by visiting:
OpenCourser.com/course/m2wv21/snowflake
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Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Introduces learners to Snowflake, a currently relevant and popular database solution
Provides an overview of Snowflake's capabilities and benefits
Helps learners understand why Snowflake is gaining traction in the industry
Appropriate for learners interested in data management and database technologies
Taught by experienced industry expert Graham Mossman
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Snowflake? Why Should I Care?.
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Career center
Learners who complete Snowflake? Why Should I Care? will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists analyze and interpret large amounts of data to extract meaningful insights and patterns. Snowflake, a cloud-based data warehouse, is an essential tool for Data Scientists as it enables them to store, process, and analyze vast datasets efficiently. This course provides a comprehensive understanding of Snowflake's capabilities, best practices, and use cases, which can greatly enhance a Data Scientist's ability to derive valuable insights from data.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and infrastructure to support data analytics and decision-making. Snowflake is a popular choice for Data Engineers due to its scalability, performance, and ease of use. This course helps Data Engineers gain a deep understanding of Snowflake's architecture, data modeling techniques, and performance optimization strategies, enabling them to build robust and efficient data pipelines.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases to ensure their availability, performance, and security. Snowflake, as a fully managed database service, requires specialized knowledge for administration. This course provides a comprehensive overview of Snowflake's administrative features, including user management, data security, performance monitoring, and disaster recovery. By taking this course, Database Administrators can enhance their skills in managing Snowflake databases effectively.
Business Analyst
Business Analyst
Business Analysts bridge the gap between business stakeholders and technical teams, translating business requirements into technical specifications. Snowflake's user-friendly interface and powerful analytics capabilities make it a valuable tool for Business Analysts to gain insights from data and communicate them effectively to stakeholders. This course equips Business Analysts with the knowledge to leverage Snowflake for data exploration, visualization, and reporting, enabling them to make data-driven recommendations and support decision-making.
Cloud Architect
Cloud Architect
Cloud Architects design, build, and manage cloud infrastructure solutions. Snowflake is a fully managed cloud-based data warehouse that offers scalability, flexibility, and cost-effectiveness. This course provides Cloud Architects with a solid understanding of Snowflake's architecture, pricing models, and integration options. By gaining expertise in Snowflake, Cloud Architects can optimize cloud infrastructure for data storage and analytics, reducing costs and improving performance.
Data Analyst
Data Analyst
Data Analysts extract, clean, and analyze data to derive meaningful insights and inform decision-making. Snowflake's powerful data processing capabilities and user-friendly interface make it an ideal platform for Data Analysts. This course provides a foundation in Snowflake's data querying, transformation, and visualization features, enabling Data Analysts to efficiently analyze large datasets and uncover hidden patterns.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. Snowflake offers a robust API and SDKs for programmatic access to its features. This course provides Software Engineers with an understanding of Snowflake's APIs and best practices for integrating Snowflake into their applications. By leveraging Snowflake's capabilities, Software Engineers can build data-driven applications that are scalable, performant, and secure.
Product Manager
Product Manager
Product Managers define, develop, and launch software products. Snowflake's innovative features and growing popularity make it an attractive option for Product Managers to consider. This course provides Product Managers with an overview of Snowflake's capabilities, pricing models, and market positioning. By understanding Snowflake's strengths and weaknesses, Product Managers can make informed decisions about whether to adopt Snowflake for their products.
IT Manager
IT Manager
IT Managers oversee the planning, implementation, and maintenance of IT systems and infrastructure within an organization. Snowflake's cloud-based architecture and fully managed services make it an attractive option for IT Managers looking to reduce IT complexity and costs. This course provides IT Managers with an understanding of Snowflake's benefits, deployment options, and security features. By gaining expertise in Snowflake, IT Managers can make informed decisions about adopting Snowflake within their organizations.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouse solutions to support data analytics and reporting. Snowflake's modern data warehousing architecture and scalability make it a compelling choice for Data Warehouse Architects. This course provides a foundation in Snowflake's data modeling techniques, performance optimization strategies, and security best practices. By gaining expertise in Snowflake, Data Warehouse Architects can design and implement robust and efficient data warehouses that meet the evolving needs of their organizations.
Data Architect
Data Architect
Data Architects design and manage data architecture to ensure data is consistent, reliable, and accessible across an organization. Snowflake's scalable, flexible, and secure architecture make it an attractive option for Data Architects. This course provides a deep understanding of Snowflake's data modeling capabilities, data governance features, and security best practices. By gaining expertise in Snowflake, Data Architects can design and implement data architectures that meet the evolving needs of their organizations.
Database Designer
Database Designer
Database Designers design and implement database schemas to store and manage data. Snowflake's flexible data modeling capabilities and powerful performance make it an attractive option for Database Designers. This course provides a foundation in Snowflake's data modeling techniques, performance optimization strategies, and security best practices. By gaining expertise in Snowflake, Database Designers can design and implement scalable and efficient databases that meet the evolving needs of their organizations.
Project Manager
Project Manager
Project Managers plan, execute, and monitor projects to ensure their successful completion. Snowflake's cloud-based architecture and agile development tools make it an attractive option for Project Managers in data-intensive projects. This course provides Project Managers with an overview of Snowflake's capabilities, pricing models, and implementation best practices. By understanding Snowflake's strengths and weaknesses, Project Managers can make informed decisions about whether to adopt Snowflake for their projects.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect an organization's data and systems from cyber threats. Snowflake's robust security features and compliance certifications make it an attractive option for Information Security Analysts. This course provides a foundation in Snowflake's security architecture, data encryption techniques, and access control mechanisms. By gaining expertise in Snowflake, Information Security Analysts can effectively secure data and systems within their organizations.
For more career information including salaries, visit:
OpenCourser.com/course/m2wv21/snowflake
Reading list
We've selected three books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Snowflake? Why Should I Care?.
Beginner's guide to Snowflake. It covers the basics of Snowflake, such as its architecture, features, and use cases. It valuable resource for anyone who wants to learn more about Snowflake.
Save
Practical guide to using Snowflake for development tasks. It covers topics such as data integration, data processing, and data analytics. It valuable resource for developers who want to learn how to use Snowflake effectively.
Save
Practical guide to using Snowflake for students. It covers topics such as data exploration, data analysis, and data visualization. It valuable resource for students who want to learn how to use Snowflake effectively.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/m2wv21/snowflake
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Big Data LDN 2019 . It's comprised of 101 courses:
- The Database Is Only Half Done
- Your AI Is Wrong! Lessons from Decision-making with Imperfect AI
- Multiparadigm Data Science: The Next Frontier in Decision Making
- Achieving 100% Adoption of Analytics in the Enterprise
- Data Skills: How Mondi Does Digital
- Building a Modern Data Architecture for the Data Driven Enterprise
- Harnessing the Power of Data to Improve Public Health
- Real-time Data Analytics at Scale Using Cloud Services
- Quick and Easy Access to Data through a Logical Data Warehouse Environment
- The Promise of Data Mastering at Scale
- Research vs. Reality in AI: Would You Trust Your Model with Your Life?
- Modernise Your IT Infrastructure for AI
- Scaling Machine Learning at Holiday Extras
- Why Do Some Machine Learning Models Fail?
- AI: Lessons Learned from the Front Line
- Machine Learning in Real-time: Predicting Taxi Fare in NYC
- How AI and Automated Machine Learning Will Disrupt the Organisational Alignment of Businesses
- Multi-model Powered Machine Learning
- ML in Production: Serverless and Painless
- Leveraging Data Virtualization to Maximize Advanced Analytics and Machine Learning Potential in Your Data Architecture
- Bring the Power of Watson to AWS and Azure: Watson Anywhere Powered by Cloud Pak for Data
- Modern Data Warehousing at Scale Using Azure Data Factory
- Balancing Performance, Scalability, and High Availability in Your Database Environment
- Enabling Microservices for Big Data On-demand in the Cloud
- From ETL to ELT: Building a Scalable Data Stack with SQL
- Data, Governance, and Freedom
- How to Get the Technology Stack Right for Your Business
- Data Modelling with Apache Cassandra
- How to Orchestrate Your ML Pipelines in Hybrid Cloud
- Full Stack Metadata Driven Thinking to Drive Business Agility
- Enhance Developer Experience Using OpenShift on Azure
- Fast Data for Faster Business
- Driving Faster, Smarter Actions on IoT Data with New Real-time Analytics Capabilities
- Introduction to Adept and How Big Data and Analytics Is Transforming the Connected Car Ecosystem
- Bridge to Cloud
- How to Train Your AI Models at Scale
- 99% of Your IoT Data Is Worthless, but Which 99%?
- Data Engineering in MagicLab: The Birth and Life of an Event
- RNA - Event Stream Processing Made Simple
- When Data Leads, Transformation Follows - A Look at Qlik's Data Integration Portfolio
- Saving Energy in Homes with a Unified Approach to Data and AI
- Building Stream Processing Applications with Apache Kafka Using KSQL
- Real-world, Real-time Digital Transformation
- Machine Data in Industry 4.0: How to Handle It Better
- Why CockroachDB in the Kindred Platform?
- The Hardest Part of AI & Analytics Is Not AI, It Is Data Management
- Effective Cloud Migration Strategies for Your Modern Data Applications
- Snowflake? Why Should I Care? (viewing)
- The Future of Business Intelligence Isn't a Tool
- AI-driven Retail for the 21st Century
- The Next Generation of Data Architecture
- Modern Enterprise Data Engineering
- Taking Control of User Analytics with Snowplow
- Flex Your Data(Ops) Muscles
- You Love Big Data, so Does R
- Building Predictive Maintenance Solutions
- Quickly, Codelessly Connect Any Application to Any REST API
- Rethinking Data Warehouse Modernization in the Age of Hybrid Cloud/On-premise Data Warehouses
- From Waterfall to Agile – A Data Warehouse Modernisation Story
- Freeing up Engineering and Infrastructure Resources to Scale with DataOps
- Unit Testing with pytest
- Credit Card Fraud – Why the Database Matters
- Data Science at SEGA
- British Telecom: Data-driven Digital Transformation
- Using Cloud Solution Platforms to Drive Business Value and Cost Optimization
- Data Analytics & IoT Innovations at Bosch
- Converting the CDO to a Profit Centre
- Why Self-service Data Analytics Usually Fails & Ideas for Succeeding
- Governed Data Discovery
- Journey to Create a Great Analytic Culture
- Something Amazing for Everyone: Embracing Inclusive Design to Deliver Accessible Experiences
- Democratising Data – How We Built a Self-serve Data Platform
- Discover the “Why” You Didn't Know Existed
- Selecting Your Fantasy Premier League Team with Advanced Analytics
- Decouple Storage from Compute
- Data Skills: Building a Data Team Fit for a Data-driven Enterprise
- Consent, Compliance, and the Impact on Customer Experience
- AI & Communication: Meaningful Data from New Sources
- Real-time Personalised Customer Interaction at Scale
- Data: The Musical, with LW Theatres
- Self-service and Tableau Community at Lloyds Banking Group
- The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work
- Using Location Intelligence to Place Solar Panels in Rwanda
- Embedding Intelligence into the Heart of Customer Operations
- The Art of Customer Conversations
- How to Build a Fully Autonomous Card Fraud Detection System
- At Last! The Real-time Customer Experience
- Data Privacy Mythbusting
- Demystifying Data – What They Don’t Tell You at Data School
- Optimizing Your Data Value Chain with Agile Data Management
- Data at SEGA Europe
- Keep Your Data Lake from Getting Hadooped
- Top 10 Privacy Tips & Tricks in Big Data
- Data Governance as a Customer Service
- 7 AI Quick Win Projects
- Delivering Value with Intelligent Data Governance
- The Culture Competition – Personalisation vs. Privacy
- DataOps for AI and Digital Transformation
- Big Data LDN: A GDPR Retrospective
- GDPR: A Sword Not a Shield
- Drive Business Growth While Satisfying GDPR and CCPA
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