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Big Data LDN
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Data Warehousing
Cloud Data Platforms
Data Architecture
Next Generation Data Architecture
Data Management
Big Data
Data Analytics
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OpenCourser.com/course/je8frn/the
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Provides practical expertise for implementing next-gen hybrid cloud data warehouses in agile environments
Covers industry-standard tools and technologies for building modern data architectures
Suitable for data scientists, business analysts, IT users, and business users seeking to enhance their data architecture skills
Instructed by experts with significant experience in Big Data and data architecture
Requires a solid foundation in data management and data analysis concepts
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The Next Generation of Data Architecture.
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Career center
Learners who complete The Next Generation of Data Architecture will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
The Next Generation of Data Architecture can help prepare you to become a Data Architect, a role typically requiring a bachelor's degree in computer science or a related field. It is a key player responsible for designing and implementing the data architecture of an organization, ensuring that data is managed and utilized effectively. The course, by teaching you about the latest trends in data warehousing and providing hands-on experience with cloud-based data platforms, can help you build a solid foundation in next-generation data architecture and prepare you for this in-demand career.
Cloud Data Engineer
Cloud Data Engineer
The Next Generation of Data Architecture may be a valuable resource for you if you're interested in becoming a Cloud Data Engineer, a role often requiring a bachelor's degree in computer science or a related field. They design, build, and maintain cloud-based data systems. The course's focus on next-generation hybrid cloud data warehousing and its practical approach to migrating from legacy data warehouses can provide you with the skills and knowledge necessary to succeed in this emerging field.
Data Scientist
Data Scientist
If you aspire to be a Data Scientist, a role typically requiring a master's degree in data science or a related field, The Next Generation of Data Architecture may be a useful course for you. Data Scientists are responsible for extracting insights from data, and this course can provide you with a strong foundation in the latest data warehousing technologies and best practices. By understanding how to work with both operational and analytics data, you'll be better equipped to develop and implement data-driven solutions.
Data Analyst
Data Analyst
For those interested in a career as a Data Analyst, a role typically requiring a bachelor's degree in data analysis or a related field, The Next Generation of Data Architecture may be a valuable course. Data Analysts are responsible for analyzing data to identify trends and patterns. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are essential tools for Data Analysts.
Database Administrator
Database Administrator
The Next Generation of Data Architecture may be a useful course for those interested in becoming a Database Administrator, a role typically requiring a bachelor's degree in computer science or a related field. Database Administrators are responsible for managing and maintaining databases. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are becoming increasingly important in today's data-driven world.
Business Intelligence Analyst
Business Intelligence Analyst
For those interested in a career as a Business Intelligence Analyst, a role typically requiring a bachelor's degree in business or a related field, The Next Generation of Data Architecture may be a valuable course. Business Intelligence Analysts are responsible for analyzing data to identify trends and patterns and providing insights to businesses. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are essential tools for Business Intelligence Analysts.
Data Engineer
Data Engineer
The Next Generation of Data Architecture may be a useful course for aspiring Data Engineers, a role typically requiring a bachelor's degree in computer science or a related field. Data Engineers are responsible for designing, building, and maintaining data pipelines. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are essential tools for Data Engineers.
Software Engineer
Software Engineer
The Next Generation of Data Architecture may be a useful course for those interested in a career as a Software Engineer, a role typically requiring a bachelor's degree in computer science or a related field. Software Engineers are responsible for designing, developing, and maintaining software applications. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are becoming increasingly important in today's software development landscape.
IT Architect
IT Architect
For those interested in a career as an IT Architect, a role typically requiring a bachelor's degree in computer science or a related field, The Next Generation of Data Architecture may be a useful course. IT Architects are responsible for designing and implementing IT systems. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are becoming increasingly important in today's IT landscape.
Data Governance Analyst
Data Governance Analyst
The Next Generation of Data Architecture may be a useful course for those interested in a career as a Data Governance Analyst, a role typically requiring a bachelor's degree in business or a related field. Data Governance Analysts are responsible for developing and implementing data governance policies and procedures. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are becoming increasingly important for data governance.
Cloud Architect
Cloud Architect
For those interested in a career as a Cloud Architect, a role typically requiring a bachelor's degree in computer science or a related field, The Next Generation of Data Architecture may be a useful course. Cloud Architects are responsible for designing and implementing cloud-based solutions. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are becoming increasingly important in today's cloud computing landscape.
Information Security Analyst
Information Security Analyst
The Next Generation of Data Architecture may be a useful course for those interested in a career as an Information Security Analyst, a role typically requiring a bachelor's degree in computer science or a related field. Information Security Analysts are responsible for protecting data from unauthorized access and use. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are becoming increasingly important for data security.
Data Warehouse Analyst
Data Warehouse Analyst
For those interested in a career as a Data Warehouse Analyst, a role typically requiring a bachelor's degree in business or a related field, The Next Generation of Data Architecture may be a useful course. Data Warehouse Analysts are responsible for designing, building, and maintaining data warehouses. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are becoming increasingly important for data analysis.
Data Management Consultant
Data Management Consultant
The Next Generation of Data Architecture may be a useful course for those interested in a career as a Data Management Consultant, a role typically requiring a bachelor's degree in business or a related field. Data Management Consultants help organizations improve their data management practices. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are becoming increasingly important for data management consulting.
Business Analyst
Business Analyst
For those interested in a career as a Business Analyst, a role typically requiring a bachelor's degree in business or a related field, The Next Generation of Data Architecture may be a useful course. Business Analysts help organizations improve their business processes. This course can help you build a strong foundation in data warehousing and cloud-based data platforms, which are becoming increasingly important for business analysis.
For more career information including salaries, visit:
OpenCourser.com/course/je8frn/the
Reading list
We've selected ten 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
The Next Generation of Data Architecture.
Covers the fundamental concepts of statistical learning, including data mining, inference, and prediction. Provides a solid foundation for understanding statistical methods.
Save
Provides a comprehensive guide to Spark, including its features, performance tuning, and programming. Useful for understanding the practical aspects of Spark.
Covers the practical aspects of Hadoop, including installation, configuration, and optimization. Provides valuable guidance for implementing Hadoop-based solutions.
Provides a broad overview of data science, including big data, machine learning, and statistical modeling. Helpful for understanding the scope and applications of data science.
Provides a comprehensive guide to Elasticsearch, including its features, performance tuning, and administration. Useful for understanding the practical aspects of Elasticsearch.
Focuses on the business applications of data science. Provides insights into how data can be used to drive business decisions.
Provides a hands-on introduction to data science using Python. Covers the fundamentals of data analysis, modeling, and visualization.
Covers the fundamentals of machine learning and its applications in data science. Provides a valuable introduction to machine learning concepts and algorithms.
Provides a comprehensive guide to MongoDB, including its features, performance tuning, and administration. Useful for understanding the practical aspects of MongoDB.
Focuses on deep learning techniques and their applications in Python. Provides practical guidance for implementing deep learning models.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/je8frn/the
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Big Data LDN
This course belongs to a
collection
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Big Data LDN 2019 . It's comprised of 101 courses:
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- Achieving 100% Adoption of Analytics in the Enterprise
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- Building a Modern Data Architecture for the Data Driven Enterprise
- Harnessing the Power of Data to Improve Public Health
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- 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
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- 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
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- Real-world, Real-time Digital Transformation
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- Why CockroachDB in the Kindred Platform?
- The Hardest Part of AI & Analytics Is Not AI, It Is Data Management
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- 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
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- British Telecom: Data-driven Digital Transformation
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- Why Self-service Data Analytics Usually Fails & Ideas for Succeeding
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- 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
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- 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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