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Big Data LDN
Big Data LDN 2019 | How to Get the Technology Stack Right for Your Business | James Lupton
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Big Data LDN 2019 | How to Get the Technology Stack Right for Your Business | James Lupton
Read more
Big Data LDN 2019 | How to Get the Technology Stack Right for Your Business | James Lupton
We spend a lot of time at conferences hearing about all the incredible use cases that people have been delivering, the wild futures ahead in our industries, or how some new technology is going to fix any problem you might have. We don't generally hear about the (often challenging!) journey to take an organisation from the very beginnings of a data strategy, through a successful delivery, to the new business norm. Once you have your data strategy in place, one of the next steps will involve choosing the right platform to support that strategy. Many strategies can fail to deliver because the wrong choices are made early on in this process. There's a lot of choice in the market at the moment and every vendor will be telling you that their technology is the thing you need. So how do you pick a technology stack that aligns properly to your strategy? Join James Lupton to find out 10 questions you should be asking to get things right.
This course is no longer available. Find a similar course by searching these:
technology stack selection
big data analytics
data-driven decision making
data architecture design
big data strategy
cloud computing for data
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Builds a strong foundation for learners new to data platform technologies
Examines implementation strategies that are highly relevant to industry
Provides a multi-modal learning experience that includes videos and discussions
Taught by an instructor recognized for his work in building data platforms
Explicitly requires completion of another course before taking this course
May require learners to come in with some background knowledge in data platforms
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How to Get the Technology Stack Right for Your Business.
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Career center
Learners who complete How to Get the Technology Stack Right for Your Business will develop knowledge and skills
that may be useful to these careers:
Data Integration Architect
Data Integration Architect
A Data Integration Architect is responsible for designing and implementing the integration of data from multiple sources into a single, cohesive system. This course will be helpful for someone in this role as it will provide them with the knowledge and skills needed to choose the right technology stack for their data integration project.
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines and infrastructure. This course would be useful for this role since it would provide a framework for evaluating different technology stacks and selecting the one that is best suited for the organization's needs.
Technology Consultant
Technology Consultant
A Technology Consultant provides advice and guidance to organizations on how to use technology to achieve their business goals. This course will be helpful for a Technology Consultant as it will provide them with the knowledge and skills needed to make informed recommendations about technology investments.
Systems Analyst
Systems Analyst
A Systems Analyst analyzes and designs IT systems and solutions. This course may be useful for someone in this role, as it can help them understand how to choose the right technology stack for a given project or initiative.
CIO
CIO
A Chief Information Officer (CIO) is responsible for the overall IT strategy and infrastructure of an organization. This course will be helpful for a CIO as it will provide them with the knowledge and skills needed to make informed decisions about technology investments.
Database Administrator
Database Administrator
A Database Administrator (DBA) is responsible for the design and maintenance of an organization's database systems. This course will be helpful for a DBA as it will provide them with the knowledge and skills needed to choose the right technology stack for their organization's needs.
Software Architect
Software Architect
A Software Architect designs and develops the overall architecture of a software system. This course may be useful for someone in this role, as it can help them understand how to choose the right technology stack for their software system.
Data Scientist
Data Scientist
A Data Scientist develops and applies statistical and machine learning models to extract insights from data. The course will be helpful for a Data Scientist as it covers the many considerations necessary for selecting the right technology stack for your specific business needs.
CTO
CTO
A Chief Technology Officer (CTO) is responsible for the development and implementation of an organization's technology strategy. This course may be useful for someone in this role, as it can help them understand how to choose the right technology stack for their organization's needs.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. This course may be useful for someone in this role, as it can help them understand how to choose the right technology stack for their new product.
Business Analyst
Business Analyst
A Business Analyst gathers and analyzes business requirements and translates them into technical specifications. This course may be useful for someone in this role, as it can help them understand how to choose the right technology stack for a given business need.
IT Manager
IT Manager
An IT Manager is responsible for the management of an organization's IT systems and infrastructure. This course will be helpful for an IT Manager as it will provide them with the knowledge and skills needed to make informed decisions about technology investments.
Project Manager
Project Manager
A Project Manager plans, executes, and closes projects. This course will be helpful for someone in this role as it will provide them with the knowledge and skills needed to manage technology projects successfully.
C-Suite Executive
C-Suite Executive
A C-Suite Executive is a senior-level executive who is responsible for the overall strategy and direction of an organization. This course will be helpful for a C-Suite Executive, as it will provide them with the knowledge and skills needed to make informed decisions about technology investments.
Data Architect
Data Architect
A Data Architect designs and implements data management solutions to meet an organization's business needs. This course may be useful for someone in this role, because it will provide a better understanding of how to choose the right technology stack for a given business strategy.
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Time
26 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:
- 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 (viewing)
- 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
- 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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