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Quickly, Codelessly Connect Any Application to Any REST API

Big Data LDN

Big Data LDN 2019 | Quickly, Codelessly Connect Any Application to Any REST API | James Goodfellow

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Big Data LDN 2019 | Quickly, Codelessly Connect Any Application to Any REST API | James Goodfellow

In today’s digital business landscape, data is fragmented and scattered across various systems. Pulling all this data together is a significant challenge, and with businesses constantly implementing new data sources, integration complexities just keep multiplying. In this presentation, James Goodfellow explores a new approach to data access that seamlessly connects and integrates with REST APIs without coding. The results include more productive developers and easy and fast access to the data that you need to find insights and drive value.

This course is no longer available. Find a similar course by searching these:
rest api integration codeless data access big data connectivity data integration cloud-based data management api-first development

What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
This course explores codeless integration with REST APIs, which is standard in industry data access
Taught by instructors James Goodfellow and Big Data LDN, who are recognized for their work in data integration
Develops skills for integrating with REST APIs codelessly, which is a core skill for data engineers and data scientists
Examines codeless REST API integration, which is highly relevant to data integration in today's digital business landscape
May not provide hands-on labs and interactive materials, which may be important for some learners

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Career center

Learners who complete Quickly, Codelessly Connect Any Application to Any REST API will develop knowledge and skills that may be useful to these careers:
Chief Data Officer
Chief Data Officers are responsible for the overall management of data within an organization. They work with a variety of stakeholders, including executives, data analysts, and data engineers. This course is a must-take for Chief Data Officers who want to learn how to quickly and easily connect to any REST API, so that they can access the data they need to make informed decisions about the organization's data strategy.
See salaries and explore the career path for Chief Data Officer
Chief Information Officer
Chief Information Officers (CIOs) are responsible for the overall management of information technology within an organization. They work with a variety of stakeholders, including executives, business unit leaders, and IT staff. This course may be useful for CIOs who want to learn how to quickly and easily connect to any REST API, so that they can access the data they need to make informed decisions about the organization's IT strategy.
See salaries and explore the career path for Chief Information Officer
Product Manager
Product Managers define and manage the development of products. They work with a variety of stakeholders, including customers, engineers, and marketers. This course may be useful for Product Managers who want to learn how to quickly and easily connect to any REST API, so that they can gather the data they need to make decisions about product development.
See salaries and explore the career path for Product Manager
Project Manager
Project Managers plan and execute projects. They work with a variety of stakeholders, including project team members, stakeholders, and executives. This course may be useful for Project Managers who want to learn how to quickly and easily connect to any REST API, so that they can track the progress of projects and communicate with stakeholders.
See salaries and explore the career path for Project Manager
Business Analyst
Business Analysts analyze business processes and recommend ways to improve them. They work with a variety of stakeholders, including users, managers, and executives. This course may be useful for Business Analysts who want to learn how to quickly and easily connect to any REST API, so that they can gather the data they need to analyze business processes.
See salaries and explore the career path for Business Analyst
Systems Analyst
Systems Analysts design, develop, and implement computer systems. They work with a variety of stakeholders, including users, developers, and management. This course may be useful for Systems Analysts who want to learn how to quickly and easily connect to any REST API, so that they can design systems that can access the data they need.
See salaries and explore the career path for Systems Analyst
Database Administrator
Database Administrators design, build, and maintain databases. They work with a variety of stakeholders, including data analysts, data engineers, and application developers. This course may be useful for Database Administrators who want to learn how to quickly and easily connect to any REST API, so that they can build databases that can access the data they need.
See salaries and explore the career path for Database Administrator
Data Integration Architect
Data Integration Architects design and build data integration systems, which are used to connect different data sources and make the data available to users in a consistent and timely manner. They work with a variety of stakeholders, including data analysts, data engineers, and database administrators. This course may be useful for Data Integration Architects who want to learn how to quickly and easily connect to any REST API, so that they can build data integration systems that can access the data they need.
See salaries and explore the career path for Data Integration Architect
Data Warehouse Architect
Data Warehouse Architects design and build data warehouses, which are large-scale data storage systems that are used to store and analyze data from a variety of sources. They work with a variety of stakeholders, including data analysts, data engineers, and database administrators. This course may be useful for Data Warehouse Architects who want to learn how to quickly and easily connect to any REST API, so that they can build data warehouses that can access the data they need.
See salaries and explore the career path for Data Warehouse Architect
Information Architect
Information Architects design the structure and organization of websites and other information systems. They work with a variety of stakeholders, including users, developers, and content creators. This course may be useful for Information Architects who want to learn how to quickly and easily connect to any REST API, so that they can design systems that can access the data they need.
See salaries and explore the career path for Information Architect
Web Developer
Web Developers design, develop, and maintain websites. They work with a variety of technologies, including REST APIs. This course may be useful for Web Developers who want to learn how to quickly and easily connect to any REST API, so that they can build websites that can access the data they need.
See salaries and explore the career path for Web Developer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with a variety of technologies, including REST APIs. This course may be useful for Software Engineers who want to learn how to quickly and easily connect to any REST API, so that they can build applications that can access the data they need.
See salaries and explore the career path for Software Engineer
Data Scientist
Data Scientists use data to build models that can predict future events or identify patterns in data. They work closely with Data Analysts and Data Engineers to ensure that the data is accurate and reliable. This course may be useful for Data Scientists who want to learn how to quickly and easily connect to any REST API, so that they can access the data they need to build their models.
See salaries and explore the career path for Data Scientist
Data Engineer
Data Engineers design, build, and maintain the infrastructure that stores and processes data for businesses. They work closely with Data Analysts to ensure that the data is accessible and reliable. This course may be useful for Data Engineers who want to learn how to quickly and easily connect to any REST API, so that they can build systems that can access the data they need.
See salaries and explore the career path for Data Engineer
Data Analyst
Data Analysts help businesses understand their data, by identifying, collecting, and cleaning data from a variety of sources. They then analyze the data to find patterns and trends that can help the business make better decisions. This course may be useful for Data Analysts who want to learn how to quickly and easily connect to any REST API, so that they can access the data they need to do their analysis.
See salaries and explore the career path for Data Analyst

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Course image
Time
18 hours
Level
Intermediate
Via
Pluralsight
Instructor
Big Data LDN
Language
English
This course belongs to a collection called Big Data LDN 2019 . It's comprised of 101 courses:
  1. The Database Is Only Half Done
  2. Your AI Is Wrong! Lessons from Decision-making with Imperfect AI
  3. Multiparadigm Data Science: The Next Frontier in Decision Making
  4. Achieving 100% Adoption of Analytics in the Enterprise
  5. Data Skills: How Mondi Does Digital
  6. Building a Modern Data Architecture for the Data Driven Enterprise
  7. Harnessing the Power of Data to Improve Public Health
  8. Real-time Data Analytics at Scale Using Cloud Services
  9. Quick and Easy Access to Data through a Logical Data Warehouse Environment
  10. The Promise of Data Mastering at Scale
  11. Research vs. Reality in AI: Would You Trust Your Model with Your Life?
  12. Modernise Your IT Infrastructure for AI
  13. Scaling Machine Learning at Holiday Extras
  14. Why Do Some Machine Learning Models Fail?
  15. AI: Lessons Learned from the Front Line
  16. Machine Learning in Real-time: Predicting Taxi Fare in NYC
  17. How AI and Automated Machine Learning Will Disrupt the Organisational Alignment of Businesses
  18. Multi-model Powered Machine Learning
  19. ML in Production: Serverless and Painless
  20. Leveraging Data Virtualization to Maximize Advanced Analytics and Machine Learning Potential in Your Data Architecture
  21. Bring the Power of Watson to AWS and Azure: Watson Anywhere Powered by Cloud Pak for Data
  22. Modern Data Warehousing at Scale Using Azure Data Factory
  23. Balancing Performance, Scalability, and High Availability in Your Database Environment
  24. Enabling Microservices for Big Data On-demand in the Cloud
  25. From ETL to ELT: Building a Scalable Data Stack with SQL
  26. Data, Governance, and Freedom
  27. How to Get the Technology Stack Right for Your Business
  28. Data Modelling with Apache Cassandra
  29. How to Orchestrate Your ML Pipelines in Hybrid Cloud
  30. Full Stack Metadata Driven Thinking to Drive Business Agility
  31. Enhance Developer Experience Using OpenShift on Azure
  32. Fast Data for Faster Business
  33. Driving Faster, Smarter Actions on IoT Data with New Real-time Analytics Capabilities
  34. Introduction to Adept and How Big Data and Analytics Is Transforming the Connected Car Ecosystem
  35. Bridge to Cloud
  36. How to Train Your AI Models at Scale
  37. 99% of Your IoT Data Is Worthless, but Which 99%?
  38. Data Engineering in MagicLab: The Birth and Life of an Event
  39. RNA - Event Stream Processing Made Simple
  40. When Data Leads, Transformation Follows - A Look at Qlik's Data Integration Portfolio
  41. Saving Energy in Homes with a Unified Approach to Data and AI
  42. Building Stream Processing Applications with Apache Kafka Using KSQL
  43. Real-world, Real-time Digital Transformation
  44. Machine Data in Industry 4.0: How to Handle It Better
  45. Why CockroachDB in the Kindred Platform?
  46. The Hardest Part of AI & Analytics Is Not AI, It Is Data Management
  47. Effective Cloud Migration Strategies for Your Modern Data Applications
  48. Snowflake? Why Should I Care?
  49. The Future of Business Intelligence Isn't a Tool
  50. AI-driven Retail for the 21st Century
  51. The Next Generation of Data Architecture
  52. Modern Enterprise Data Engineering
  53. Taking Control of User Analytics with Snowplow
  54. Flex Your Data(Ops) Muscles
  55. You Love Big Data, so Does R
  56. Building Predictive Maintenance Solutions
  57. Quickly, Codelessly Connect Any Application to Any REST API (viewing)
  58. Rethinking Data Warehouse Modernization in the Age of Hybrid Cloud/On-premise Data Warehouses
  59. From Waterfall to Agile – A Data Warehouse Modernisation Story
  60. Freeing up Engineering and Infrastructure Resources to Scale with DataOps
  61. Unit Testing with pytest
  62. Credit Card Fraud – Why the Database Matters
  63. Data Science at SEGA
  64. British Telecom: Data-driven Digital Transformation
  65. Using Cloud Solution Platforms to Drive Business Value and Cost Optimization
  66. Data Analytics & IoT Innovations at Bosch
  67. Converting the CDO to a Profit Centre
  68. Why Self-service Data Analytics Usually Fails & Ideas for Succeeding
  69. Governed Data Discovery
  70. Journey to Create a Great Analytic Culture
  71. Something Amazing for Everyone: Embracing Inclusive Design to Deliver Accessible Experiences
  72. Democratising Data – How We Built a Self-serve Data Platform
  73. Discover the “Why” You Didn't Know Existed
  74. Selecting Your Fantasy Premier League Team with Advanced Analytics
  75. Decouple Storage from Compute
  76. Data Skills: Building a Data Team Fit for a Data-driven Enterprise
  77. Consent, Compliance, and the Impact on Customer Experience
  78. AI & Communication: Meaningful Data from New Sources
  79. Real-time Personalised Customer Interaction at Scale
  80. Data: The Musical, with LW Theatres
  81. Self-service and Tableau Community at Lloyds Banking Group
  82. The Digital Hero’s Journey: Using Big Data to Uncover Business Value and Meaning at Work
  83. Using Location Intelligence to Place Solar Panels in Rwanda
  84. Embedding Intelligence into the Heart of Customer Operations
  85. The Art of Customer Conversations
  86. How to Build a Fully Autonomous Card Fraud Detection System
  87. At Last! The Real-time Customer Experience
  88. Data Privacy Mythbusting
  89. Demystifying Data – What They Don’t Tell You at Data School
  90. Optimizing Your Data Value Chain with Agile Data Management
  91. Data at SEGA Europe
  92. Keep Your Data Lake from Getting Hadooped
  93. Top 10 Privacy Tips & Tricks in Big Data
  94. Data Governance as a Customer Service
  95. 7 AI Quick Win Projects
  96. Delivering Value with Intelligent Data Governance
  97. The Culture Competition – Personalisation vs. Privacy
  98. DataOps for AI and Digital Transformation
  99. Big Data LDN: A GDPR Retrospective
  100. GDPR: A Sword Not a Shield
  101. Drive Business Growth While Satisfying GDPR and CCPA
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
This course explores codeless integration with REST APIs, which is standard in industry data access
Taught by instructors James Goodfellow and Big Data LDN, who are recognized for their work in data integration
Develops skills for integrating with REST APIs codelessly, which is a core skill for data engineers and data scientists
Examines codeless REST API integration, which is highly relevant to data integration in today's digital business landscape
May not provide hands-on labs and interactive materials, which may be important for some learners
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