Data

Coursera – Building Batch Data Pipelines on GCP

Coursera – Building Batch Data Pipelines on GCP
English | Size: 248.29 MB
Category: Tutorial


Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using QwikLabs.

Pluralsight – Bring The Power Of Watson To AWS And Azure Watson Anywhere Powered By Cloud Pak For Data

Pluralsight – Bring The Power Of Watson To AWS And Azure Watson Anywhere Powered By Cloud Pak For Data-NOLEDGE
English | Size: 148.41 MB
Category: Tutorial


Big Data LDN 2019 | Bring the Power of Watson to AWS and Azure: Watson Anywhere Powered by Cloud Pak for Data | Chris Williams
Today’s successful enterprises must juggle many different cloud vendors. How do you run consistent Data and AI initiatives in a multicloud world? It’s possible with Cloud Pak for Data. Our cloud-native Data and AI platform not only leverages innovative Watson AI services but brings the power of Watson to AWS, Azure, and other major cloud providers. Learn how Watson Anywhere can help you implement, unify, and scale your AI efforts to take your business to the next level in this talk with Chris Williams.

Pluralsight – Options For Data In The Cloud

Pluralsight – Options For Data In The Cloud-QUASAR
English | Size: 529.03 MB
Category: Tutorial


Microsoft Ignite 2019. Options for Data in the Cloud. Cecil Phillip Tailwind Traders is a large retail corporation with a dangerous single point of failure: sales, fulfillment, monitoring, and telemetry data is centralized across its online and brick and mortar outlets. We review structured databases, unstructured data, real-time data, file storage considerations, and share tips on balancing performance, cost and operational impacts. In this session, learn how Tailwind Traders created a flexible data strategy using multiple Azure services, such as Azure SQL, Azure Search, the Azure Cosmos DB API for MongoDB, the Gremlin API for Cosmos DB, and more – and how to overcome common challenges and find the right storage option

Pluralsight – Migrating Your Mission Critical Data Warehouse To Azure Synapse Analytics

Pluralsight – Migrating Your Mission Critical Data Warehouse To Azure Synapse Analytics-NOLEDGE
English | Size: 149.45 MB
Category: Tutorial


Microsoft Ignite 2019 | Migrating Your Mission-Critical Data Warehouse to Azure Synapse Analytics | Charles Feddersen, Anne Michelle Cruz
The cloud has massively disrupted the long standing data warehouse appliance. More than ever customers are modernizing on-premise workloads into elastic cloud architectures to embrace new analytic capabilities, make better decisions, and gain competitive advantage. This demo-rich session will showcase the latest capabilities of Azure Synapse Analytics to streamline migrations, all the way from code conversion to enterprise grade developer tooling. This session will also feature a customer who has successfully migrated from their legacy appliance to Azure present the details of their journey.