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Simplify and speed data discovery, curation, profiling and lineage on Snowflake Data Cloud with a solution that provides full data visibility, automated data lineage, and tracking of data movement across your data landscape.

In this webinar, experts from Informatica, Snowflake, and Thrivent will discuss best practices for streamlining data discovery and lineage on Snowflake Data Cloud:

• Achieve full data visibility
• Automate data lineage
• Track data movement to and from Snowflake
• Explore Thrivent鈥檚 lessons and use cases

Webinar #2: Accelerate Analytics and AI on Databricks with AI-powered Data Cataloging

Data democratization, analytics, and AI initiatives depend heavily on the quality and veracity of the underlying data. Learn how to streamline discovery, curation, and profiling on Databricks, including deep metadata and data lineage, with comprehensive support for Spark SQL methods and more.

This webinar will show you how to simplify and speed data discovery, curation, and lineage on Databricks:

• Using EDC Advanced Scanner for Databricks Notebook
• Leveraging comprehensive support for Spark SQL methods
• Applying best practices for deep metadata and data lineage extraction

Learn how to increase visibility into and extract deep metadata and data lineage from complex SAP enterprise applications 鈥� and why it鈥檚 never been more important

This webinar will help you understand how to boost visibility into your data landscape with complex SAP enterprise applications and linked systems:

• Explore challenges and best practices
• Extract deep metadata and data lineage
• Hear real-world use cases from manufacturer BSH Hausger盲te GmbH

Episode 1: Data Integration 101: New Use Cases and Examples

Combining all your data from disparate sources is the first step toward turning it into business value. Whether you鈥檙e new to data integration or refreshing your understanding, 鈥淏ack to Basics Webinars: Data Integration鈥� will clarify what it is, why it鈥檚 critical to analytics and business initiatives, and how it鈥檚 evolving with changing business requirements, technologies, and frameworks.

In this episode, explore the evolution of data integration in 6 real-world examples of:

• Better performance at lower cost
• Real-time analytics, multi-cloud integration, and cloud data warehouse modernization
• Moving from Hadoop to Spark and ETL to ELT

Combining all your data from disparate sources is the first step toward turning it into business value. Whether you鈥檙e new to data integration or refreshing your understanding, 鈥淏ack to Basics Webinars: Data Integration鈥� will clarify what it is, why it鈥檚 critical to analytics and business initiatives, and how it鈥檚 evolving with changing business requirements, technologies, and frameworks.

In this episode, learn how a customer鈥痑dded鈥痸alue to its Snowflake implementation using a pre-packaged analytics solution built on Informatica鈥檚 Intelligent Data Management Cloud (IDMC) platform鈥痶o:

• Process data with both ETL and ELT
• Modernize analytics
• Improve performance and security for better compliance with industry requirements
  
  

Combining all your data from disparate sources is the first step toward turning it into business value. Whether you鈥檙e new to data integration or refreshing your understanding, 鈥淏ack to Basics Webinars: Data Integration鈥� will clarify what it is, why it鈥檚 critical to analytics and business initiatives, and how it鈥檚 evolving with changing business requirements, technologies, and frameworks.

In this episode, Informatica experts and customers discuss market-leading data integration innovations:

• What鈥檚 next in XOps (DataOps, MLOps)
• The impact of data fabric, autonomous data integration, and serverless processing
• Future-proofing your data platform

Step 1: Harvest Technical Metadata

As more applications and workloads move to the cloud, companies increasingly need cloud-first, cloud-native data governance鈥攏ot just for regulatory compliance, but to support and accelerate data analytics. This four-part webinar series explains how Informatica enables cloud analytics governance in four steps.

In Step 1 of this series, you will learn technical tips for understanding what and where your data is:

• Create classifications and catalog sources
• Assign stakeholders and configure a scan
• Auto-tag metadata and review/curate results
• Prioritize systems to scan for technical metadata
• Create classifications and catalog sources
• Assign stakeholders and configure a scan
• 路Auto-tag metadata and review/curate results

Step 2: Establish Analytics Governance Framework

As more applications and workloads move to the cloud, companies increasingly need cloud-first, cloud-native data governance鈥攏ot just for regulatory compliance, but to support and accelerate data analytics. This four-part webinar series explains how Informatica enables cloud analytics governance in four steps.

In Step 2 of this series, we鈥檒l show you how to set up and populate your cloud data governance tool to ensure data quality:

• Define key terms and metrics within a hierarchical glossary
• Define policies and related terms of use
• Define processes and AI models
• Track progress

Step 3: Connect & Enrich Business & Technical Metadata

As more applications and workloads move to the cloud, companies increasingly need cloud-first, cloud-native data governance鈥攏ot just for regulatory compliance, but to support and accelerate data analytics. This four-part webinar series explains how Informatica enables cloud analytics governance in four steps.

In the third step of this series, you will understand how data is being used and establish how it should be used:

• Link glossary concepts to policies and processes
• Build datasets from technical content
• Create and implement DQ checks
• Review enriched assets for business and technical value

Data Governance for Enabling the Federal Data Strategy

Stream this on-demand webinar and explore CBP鈥檚 lessons learned and best practices on successfully managing the data component of cloud migration within the context of their human capital and utilization modernization project.

Empower your data stewards to build consistent, complete, connected 360-degree customer profiles simply and at scale with Informatica鈥檚 intelligent, cloud-native customer 360 solution.

鈥淢eet the Experts: Innovations in Customer 360 SaaS鈥� is a deep dive into the latest innovations, including:

• All-in-one cloud capabilities including data integration, application integration, and data quality
• AI/ML-driven data matching, smart fields, and other built-in intelligence and orchestration
• Phased implementation and improved user experience
• A component-based framework for rapid app configuration
• Microservices-based architecture for scalability and upgradability

Data is critical to empower stakeholders and consumers across critical business processes or data science and machine learning. Data democratization allows you to govern data assets from all sources鈥攐n-premise, cloud, and multi-cloud鈥攁nd make them readily available for self-service discovery.

Meet the Experts: Cloud Data Marketplace & more鈥� explores Informatica鈥檚 cloud native and intelligent solution for data democratization. You will learn how to:

• Access data assets from diverse data sources and tools鈥攐n-premises, cloud, or multi-cloud鈥攁nd make it available for self-service discovery
• Find, understand, and access published data with seamless data shopping
• Provide multiple entry points for users to access data in the marketplace
• Allow data consumers to choose how they want their data delivered 鈥� including requesting new options
• Publish AI/ML and analytics models in consumable packages for data scientists

You will also get updated on the latest in Cloud Data Governance and Catalog and Enterprise Data Catalog.

Unlock collaboration, build trust, and democratize data

In 鈥淢eet鈥痶he鈥疎xperts: What鈥檚 New in Informatica鈥檚 Solutions for Cloud Data Warehouses and Lake鈥�, you鈥檒l learn how to unlock collaboration, build trust, and democratize data.

You鈥檒l discover how to:

• Take a code-free approach to data ingestion and synchronization
• Democratize cloud data engineering with wizard-driven app ingestion and change data capture
• Increase productivity with augmented data integration, leveraging AI-powered self-integrating systems
• Increase collaboration with automated MLOps and DataOps capabilities鈥�

Don鈥檛 miss the demo, where Informatica experts will take a deep dive into the new code-free application ingestion capability in Informatica鈥檚 Cloud Mass Ingestion service and demo the latest enhancements in CDI to optimize the cost and performance of your data pipeline.

Digital transformation is a team sport, and data is the soul of digital transformation. Despite considerable investment in data, the value is often locked in data silos and held hostage by lack of collaboration within the organization. How do you unlock cross-functional collaboration to foster a data-informed, insight-driven culture?

Join our Fall 2021 product launch to Unlock Collaboration, Build Trust, and Democratize Data. You鈥檒l get a look at the industry鈥檚 first cloud-native data marketplace, augmented MDM, and DataOps with our Intelligent Data Management Cloud. Now both technical and non-technical teams can easily build data pipelines and collaborate, access, and share trusted data, augmented with collective data intelligence through an Amazon-like data marketplace, intuitive 360 views, and AI-powered network graphs. See these new capabilities across four key journeys on the Intelligent Data Management Cloud:

• Business 360: Safeguard the success of every digital transformation with augmented MDM. Support business self-service with visual analytics and business collaboration with tailored workflows for reference data management. Adopt MDM faster by removing error-prone manual efforts when moving MDM into production. Maintain MDM process transparency for non-technical teams by easily viewing and analyzing the results of data matching and quality processes.
• Data Warehouse and Lake: Democratize cloud data engineering with wizard-driven app ingestion and change data capture. Increase productivity with augmented data integration leveraging CLAIRE-powered self-integrating systems. Increase collaboration between data scientists and data engineers with automated MLOps and DataOps capabilities. Govern costs by automatically leveraging AWS Spot instances and Graviton processors鈥攕ave up to 90% of your compute costs.
• Data Governance, Privacy & Catalog: Enable data consumers to find, understand, access, and trust the data they need with the industry鈥檚 first cloud data marketplace. Simplify and accelerate application of data quality standards at scale with cloud-native data governance and catalog as a service with automated data quality assessments. Enable deep metadata connectivity and automated data lineage across multi-cloud and hybrid with new advanced scanners.
• AI-Powered Automation with CLAIRE: Accelerate time-to-value and reduce costs by automatically inferring and recommending common data quality rules, automating schema mappings by identifying objects that are semantically related, and reducing manual stewardship efforts with a self-learning bot that predicts curation requirements for uncurated data assets.

Don鈥檛 miss:

• New Features and Demos: Experience the latest innovations as Informatica experts demonstrate new features and capabilities across Business 360; Data Warehouses and Lakes; Data Governance, Privacy, and Catalog; and AI-Powered Automation with CLAIRE.
• Live chat: Informatica experts will answer all your questions live.

Code-free application ingestion capability in Informatica Cloud Mass Ingestion service

Cloud-based applications generate data every microsecond. Ignoring this data could have serious implications for your business. But many organizations struggle to ingest their application data into cloud data warehouses and lakes, hindering their ability to make rapid, data-driven business decisions.

What's needed is a code-free approach to data ingestion and synchronization that can help you:

Build data ingestion jobs in minutes with a simple, wizard-based experience

Simplify data ingestion with a unified, cloud-native solution with versatile, out-of-the-box connectivity.

Ingest terabytes of any data, any pattern, at any latency at scale in real time and batch

Track, capture, and update changed data in real time with automatic schema drift support

Join our Meet the Experts webinar to take a deep dive into the new code-free application capability in Informatica's Cloud Mass Ingestion Service. You鈥檒l see how you can quickly and efficiently ingest data from SaaS and on-premises applications into cloud data warehouses and lakes.

For many of today's top enterprises, the ability to get the most out of their data has become a top priority. Turning data into insights, however, is easier said than done. Organizations need a data intelligence engine that will harness the power of their data, ensure it can be trusted, and empower their data consumers with the right data at the right time. Join us to learn how Informatica's Data Governance and Catalog service can operationalize your data governance program to deliver greater business value.

In the discussion, we'll discuss challenges facing the market, how you can solve issues with a practical, pragmatic approach, and ensure success with a cloud-native solution.