Ventera’s Post

Learn how the right tool improves data quality, scalability, and efficiency while fitting your business needs. Check out the latest article for insights on top ETL tools like Talend, AWS Glue, and Azure Data Factory. https://lnkd.in/ea6j-Gc5 #ETL #DataAnalytics #BigData #DataTransformation #Azure #AWS

Crafting an Event-Driven ETL Workflow with AWS: A Comprehensive Guide #AWS #businesscompassllc #cloud

Trusting your AI models begins with trusting the data that feeds into them. I’m so excited to share that the latest release of DataStage on Cloud Pak for Data 5.0 is now available! Our new features make it easier than ever for users to transform data anywhere, anytime, and ensure high data quality to power AI workloads confidently. Check out my blog post to discover everything new with DataStage: https://ibm.biz/Bdm7cf Learn about the latest updates in CP4D 5.0 here: https://ibm.biz/Bdm7cy #CP4D #CloudPakforData #IBMDatastage #DataStage

Our latest article provides a detailed guide on starting and stopping Azure Data Factory (ADF) Integration Runtime using PowerShell and Azure Automation Account. This approach can help optimize resource management and control costs by automating ADF operations. https://lnkd.in/dWr7zZth #Azure #DataFactory #PowerShell #Automation #AzureAutomation

#DP-203 #Azure #cloudcomputing #Microsoft ⛅ Continuous learning (ADF)⛅ ☀️A very important concept to understand: Azure Integration Runtime (IR) A Fully managed service by Microsoft Azure, facilitating seamless data movement and integration within Azure services. Optimized for transferring data between various Azure data stores and compute services. ⚡ Why do I need an Integration Runtime? When deploying services in the cloud that require data from an existing on-premise network, you need to either move that data to the cloud or make it available to the new cloud service from its current location. ⚡ How is it used? ADF is the most commonly used data movement service, comprised of pipelines that run activities against your data. Types of IR: ✅ Azure Integration Runtime: This runtime is used to connect to Azure data stores such as Azure Blob Storage, ADLS, Azure SQL Database, and Azure Synapse Analytics. ✅ Self-Hosted Integration Runtime: This runtime is installed on an on-premises machine or a virtual machine (VM) in a private network to provide secure connectivity between the on-premises data stores and the Azure Data Factory service. ✅ Azure-SSIS Integration Runtime: This runtime is used to execute SQL Server Integration Services (SSIS) packages in the cloud. ✅ Azure Function App Integration Runtime: This runtime allows you to execute Azure Functions as part of an ADF pipeline. It provides server-less compute to run code in response to events or specific triggers. ⚡ Interview Question: How to migrate your on-prem data to cloud using ADF 📍Answer: With the help of Self-Hosted Integration Runtime (IR) 📍How: The Self-Hosted IR is installed on a machine in your on-premises environment and acts as a secure communication channel between the ADF and the on-premises or other cloud data stores. Use Cases of Self-Hosted (IR): 🚀It provides a gateway for ADF to access the data stores that are not accessible over the public internet, allowing you to create hybrid data integration scenarios. 🚀Allows you to create hybrid data integration scenarios, such as data synchronization, data migration, and data transformation. 🚀Provides secure connectivity by establishing a private connection between the ADF service and the on-premises. 🚀Enables you to run custom activities and code on on-premises to perform specific data integration tasks that ADF does not natively support. 🚀Allows you to connect to data stores that require specialized connectors or drivers that are not available in ADF natively. 🚀Allows you to create hybrid data integration scenarios that leverage both cloud and on-premises resources. ☀️☀️☀️Happy Learning☀️☀️☀️ #dataengineering #dataanalytics #businessintelligence #BigData #knowledgecheck

Connect to Salesforce Data Cloud Ingestion API using C# and HttpClient

Organizations are enhancing data workflows for better decision-making amid the shift to cloud infrastructure. Modernizing ETL processes addresses challenges like inflexibility and vendor lock-in. By adopting standards, avoiding vendor dependency, and embracing self-service, businesses can boost productivity and unlock success in today's competitive landscape. Read on for more information on legacy modernization! #LegacyModernization #DataAnalytics #Data #ETL https://lnkd.in/dFzNxzXK

You have invested hundreds of thousands or even millions of dollars in your #ETL tools and process. It is up and running and doing its job. There are tradeoffs in terms of additional #MIPS consumption and constant maintenance, but you do not want to rip and replace what you already have. There are several ways Lozen can help simplify your ETL — and reduce processing costs. Here are some examples: > Leveraging Lozen on cloud or desktop systems allows the use of familiar and usually less costly tools to access IBM Z data > Portions of the ETL process can be replaced by Lozen using industry-standard file access protocols and methods > Developing or leveraging existing processes, tools, and techniques in your cloud and desktop systems relieves the need to utilize increasingly scarce IBM Z expertise for the entire ETL process https://lnkd.in/gVRREFSk #ibmz #dataaccess

The Ultimate Guide to Creating an #AzureDataFactory Integration Runtime! #Azure #AzureDataFactory #AzureDataFactoryDevelopers #AzureDataFactoryConsultants  #AzureDataFactoryConsultingServices #AzureDataFactoryConsultingCompany