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Big Data LDN
Big Data LDN 2019 | Effective Cloud Migration Strategies for Your Modern Data Applications | Chris Santiago
Whether you are looking to establish a "cloud first" strategy for big data or you are migrating from on-premises Cloudera, Hortonworks, and MapR, this session provides practical insights on how to make that journey simple and cost effective regardless the public cloud vendor. Join Chris Santiago as he shares how a data driven approach can guide you in deciding which cloud technologies will best fit the needs unique to your organisation and budget.
This course is no longer available. Find a similar course by searching these:
big data migration
cloud migration strategies
cloud technology for big data
data-driven cloud migration
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What's inside
Syllabus
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Read about what's good
what should give you pause and
possible dealbreakers
Provides practical insights and guidance on effective cloud migration strategies for modern data applications
Covers key considerations for migrating data applications to the cloud, including cost effectiveness
Helps learners make informed decisions on cloud technologies that best fit their organization's needs and budget
Taught by Chris Santiago, an experienced data expert and thought leader
Part of a series of courses offered by Big Data LDN, a reputable provider in the field
Delivers a data-driven approach to cloud migration, ensuring learners make informed decisions
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Career center
Learners who complete Effective Cloud Migration Strategies for Your Modern Data Applications will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers develop, construct, deploy, and manage big data pipelines and leverage data to create business value. This course may be useful for those looking to gain insight into best practices for migrating big data to the cloud, as effective cloud migration is a critical aspect of a Data Engineer’s responsibilities.
Data Analyst
Data Analyst
Data Analysts gather, transform, and analyze data to help businesses understand trends, patterns, and inefficiencies. This course teaches best practices for effective cloud migration strategies, which can be applied to data at any scale. This course may be useful for a Data Analyst looking to expand their knowledge of effective cloud migration strategies.
Cloud Architect
Cloud Architect
Cloud Architects design, build, and manage cloud computing systems to meet the needs of businesses. This course dives into the best practices for effective cloud migration strategies, a critical skill for any Cloud Architect.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms. This course may be useful for Data Scientists looking to gain insights into best practices for efficient and cost-effective cloud migration for big data.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, implement, and manage cloud computing systems, ensuring reliability, scalability, and security. This course teaches effective cloud migration strategies that are relevant to the responsibilities of a Cloud Engineer.
Data Architect
Data Architect
Data Architects ensure the availability, accessibility, integrity, and security of data for an organization. This course discusses modern data applications as well as effective cloud migration strategies, both of which are key concerns for any Data Architect.
Big Data Engineer
Big Data Engineer
Big Data Engineers design, build, and maintain big data systems to store, process, and analyze large volumes of data. This course teaches effective cloud migration strategies that are essential for any Big Data Engineer.
Cloud Security Engineer
Cloud Security Engineer
Cloud Security Engineers design, implement, and manage security measures for cloud computing systems. This course discusses cloud migration, which is important for Cloud Security Engineers to understand.
Database Administrator
Database Administrator
Database Administrators design, implement, and manage database systems to meet the data needs of an organization. This course teaches effective cloud migration strategies that Database Administrators can leverage to optimize their systems.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts collect, analyze, interpret, and present data to help businesses make informed decisions. This course teaches best practices for effective cloud migration strategies, which are crucial for Business Intelligence Analysts working with big data.
Data Integration Architect
Data Integration Architect
Data Integration Architects design, build, and maintain data integration systems to connect different data sources. This course discusses modern data applications and cloud migration strategies, which are both important considerations for Data Integration Architects.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models to solve complex problems. This course discusses modern data applications, which heavily utilize machine learning, and cloud migration strategies, which are relevant for Machine Learning Engineers working with big data.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and implement policies and procedures to ensure the effective use of data within an organization. This course may be useful for Data Governance Analysts looking to gain insights into best practices for effective cloud migration strategies.
IT Architect
IT Architect
IT Architects design, build, and maintain IT systems to meet the needs of an organization. This course teaches effective cloud migration strategies that IT Architects can leverage to optimize their systems.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between software development and IT operations. This course discusses modern data applications and cloud migration strategies, both of which are relevant to DevOps Engineers working with big data.
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Time
16 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:
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- 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 (viewing)
- 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
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- 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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