We may earn an affiliate commission when you visit our partners.
Big Data LDN
This course is no longer available. Find something similar by browsing:
DataOps
Data Wrangling
Data Management
Modernization
AWS
Azure
Google Cloud
Register for this course and see more details by visiting:
OpenCourser.com/course/r5el94/flex
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Teaches principles of DataOps, which is necessary for an effective data architecture
Explores cloud data platforms from AWS, Microsoft Azure, Cloudera, and Google Cloud, which are widely used in industry
Provides practical guidance on modernizing data management, which is crucial for businesses in today's digital landscape
Taught by Big Data LDN, who are recognized for their expertise in data management and analytics
May be less suitable for beginners with limited knowledge of data management concepts
Requires a good understanding of cloud computing concepts
Save this course
Create your own learning path.
Save this course to your list so you can find it easily later.
Save
Save
Activities
Coming soon
We're preparing activities for
Flex Your Data(Ops) Muscles.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Flex Your Data(Ops) Muscles will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data pipelines. They work closely with data scientists and other stakeholders to ensure that data is available in a timely and accurate manner. This course can help Data Engineers build a foundation in DataOps, which is a key practice for modernizing data management. DataOps helps to ensure that data is managed in a way that is efficient, reliable, and scalable.
Data Architect
Data Architect
Data Architects are responsible for designing and managing the overall data architecture of an organization. They work with stakeholders to understand data needs and develop a plan for how to meet those needs. This course can help Data Architects learn about DataOps and how it can be used to improve the efficiency and effectiveness of data management.
Data Scientist
Data Scientist
Data Scientists are responsible for using data to solve business problems. They work with data engineers and other stakeholders to identify and collect data, and then use statistical and machine learning techniques to analyze data and develop insights. This course can help Data Scientists learn about DataOps and how it can be used to improve the quality and accuracy of data.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They work with database users to ensure that data is available and secure. This course can help Database Administrators learn about DataOps and how it can be used to improve the performance and reliability of databases.
Cloud Architect
Cloud Architect
Cloud Architects are responsible for designing and managing cloud computing infrastructure. They work with stakeholders to understand their needs and develop a plan for how to meet those needs using cloud computing services. This course can help Cloud Architects learn about DataOps and how it can be used to improve the efficiency and effectiveness of data management in the cloud.
Business Analyst
Business Analyst
Business Analysts are responsible for understanding the business needs of an organization and developing solutions to meet those needs. They work with stakeholders to gather requirements, analyze data, and develop recommendations. This course can help Business Analysts learn about DataOps and how it can be used to improve the quality and accuracy of data used for decision-making.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They work with stakeholders to understand requirements and develop solutions that meet those requirements. This course can help Software Engineers learn about DataOps and how it can be used to improve the efficiency and effectiveness of data management in software applications.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of new products. They work with stakeholders to understand customer needs and develop products that meet those needs. This course can help Product Managers learn about DataOps and how it can be used to improve the quality and accuracy of data used for product development.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, analyzing, and interpreting data. They work with stakeholders to understand data needs and develop reports and dashboards that provide insights into data. This course can help Data Analysts learn about DataOps and how it can be used to improve the quality and accuracy of data.
Statistician
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data. They work with stakeholders to understand data needs and develop statistical models that can be used to make predictions and draw conclusions. This course can help Statisticians learn about DataOps and how it can be used to improve the quality and accuracy of data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying machine learning models. They work with stakeholders to understand data needs and develop models that can be used to make predictions and draw conclusions. This course can help Machine Learning Engineers learn about DataOps and how it can be used to improve the quality and accuracy of data used for model development.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists are responsible for developing and implementing data governance policies and procedures. They work with stakeholders to ensure that data is managed in a consistent and compliant manner. This course can help Data Governance Specialists learn about DataOps and how it can be used to improve the efficiency and effectiveness of data governance.
Data Privacy Analyst
Data Privacy Analyst
Data Privacy Analysts are responsible for identifying and mitigating data privacy risks. They work with stakeholders to develop and implement data privacy policies and procedures. This course can help Data Privacy Analysts learn about DataOps and how it can be used to improve the security and privacy of data.
Data Security Analyst
Data Security Analyst
Data Security Analysts are responsible for identifying and mitigating data security risks. They work with stakeholders to develop and implement data security policies and procedures. This course can help Data Security Analysts learn about DataOps and how it can be used to improve the security and privacy of data.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists are responsible for creating visualizations that communicate data insights to stakeholders. They work with stakeholders to understand data needs and develop visualizations that are clear and easy to understand. This course may help Data Visualization Specialists learn about DataOps and how it can be used to improve the quality and accuracy of data used for visualization.
For more career information including salaries, visit:
OpenCourser.com/course/r5el94/flex
Reading list
We've selected two 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
Flex Your Data(Ops) Muscles.
Focuses specifically on data wrangling in the context of DataOps, covering the use of Python libraries like Pandas, Numpy, and Dask.
Provides practical guidance on building and managing a modern data warehouse in Microsoft Azure, covering topics such as data modeling, storage optimization, and data integration.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/r5el94/flex
Share
Similar courses
Similar courses are unavailable at this time. Please try again later.
Via
Pluralsight
Instructor
Big Data LDN
This course belongs to a
collection
called
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?
- 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 (viewing)
- 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
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2025 OpenCourser