Data as a Product
AWS and AWS Partners offer solutions to help organizations implement an end-to-end data strategy and maximize the value of your data.
Data is one of the most important assets of your organization. But according to Accenture, 68% of companies are not able to realize tangible and measurable value from their data. The data landscape for many enterprises is riddled with data silos and often characterized by uneven and inadequate data access, governance, and quality. Treating data as a product not only helps remove those silos, but it also opens the door to the greater understanding and trust needed to become a data-driven enterprise. AWS and AWS Partners can provide the tools you need at any stage of your data productization journey.
Unlock the Power of Data as a Product
Organizations need to remove data silos and open the door to greater understanding and trust in their data. Data productization can make that happen. Read the eBook to learn how AWS services and AWS Partners can help you treat your data as a product and access the information you need to make the right decisions.
Use Data Products to Make Data-Driven Decisions
Data products can help solve business problems in your organization, from helping visualize sales data to enhancing advertising based on customer sentiment. Download the infographic to learn how data products can help you make better, faster decisions and improve business outcomes.
Maximize ROI with Data Products
Data is increasingly viewed as the most important asset of a business. In this video, learn why and how your organization should embrace the idea of data as a product.
AWS Partners can help you get the most out of your data
Explore how AWS Partner solutions support data productization
Make your data observable, actionable, and secure with Elastic and AWS
Harness the power of your data with Elastic on AWS Cloud. Drive faster insights, simplify data ingestion, and enhance security. Read our guide to get started.
Achieve business insights faster with an AWS and Starburst Data Mesh framework
Achieve business insights faster with an AWS and Starburst data mesh framework.
Tame All Your Streaming Data Pipelines
In this webinar, you will learn how to streamline development and operation of your data flows with Cloudera DataFlow on AWS with hundreds of pre-built connectors and processors; auto-scaling or serverless deployment options optimizing infrastructure utilization and cost; and intuitive, visual development tooling allowing quick iterations and promoting reusability.
Confluent Data Warehouse Modernization with AWS
Cloud data warehouses enable critical business insights and advanced analytics for organizations. With Confluent, you can build streaming data pipelines from hybrid and multicloud data sources to your AWS cloud DW, unlocking real-time analytics and decision-making while reducing total cost of ownership and time to value.
Modernizing Your Data Architecture to Unlock Business Value
Understand the key opportunities and challenges regarding data architecture modernization, and how you can unlock the full business value of data with Qlik and AWS
Data-centric Approach to Machine Learning Using Snowflake and Amazon SageMaker Data Wrangler
When it comes to building data-driven applications, taking advantage of a cloud data platform and machine learning technologies is key to innovating and gaining a competitive advantage.
5 Steps to Creating Business Value with Intelligent Data Discovery, Governance and Sharing on Amazon Web Services
Share trustworthy data and fuel analytics for business value creation by establishing a self-service, AI-powered data marketplace on AWS.
Deliver Data Products with Data Intelligence
What is a data product, and how can leaders use them to drive business value? Download this white paper to learn the 8 key steps for delivering data products.
All-SQL Pipelines for Building Data as a Product on AWS
Upsolver SQLake simplifies building continuous data pipelines on AWS without manual orchestration. Data engineers, analysts and scientists create, publish and share reliable, fresh and high quality data for analytics and ML, and Snowflake and Databricks.
Building a Modern Data Platform on AWS
To better understand the key challenges faced by organizations and how the lakehouse paradigm helps customers solve those challenges, Databricks commissioned an independent research firm to survey a random sample of 251 data engineering leaders in the U.S. and Europe about how they’re using analytics, AI, data lakes and data lakehouses to drive innovation and growth.
Unlock the value of AI/ML with AWS and Teradata
The combination of Teradata VantageCloud and Amazon SageMaker (ML) enable businesses to overcome hurdles that stand in the way of enterprise-scale analytics and connect more users with powerful AI/ML services.
Reduce Storage Costs and Complexity with MongoDB Atlas on AWS
As businesses grow, so does their data. Businesses face challenges in storing unstructured big data because of its high volume, variety, and velocity. With MongoDB Atlas on AWS, you can run a fully managed document database to unlock the value of your unstructured data.
Exploring Data Productization for Business Growth with TIBCO and AWS
Data productization is the key to being data driven. TIBCO’s solutions span the various stages of data productization, helping you to accelerate growth, unlock opportunities, and make faster, smarter decisions.
What Your Models Are Missing
Graph data science helps you connect the dots between data points to unlock hidden insights and reveal unnoticeable patterns. In this comprehensive ebook, you’ll learn how to improve predictions and take machine learning to new heights with Neo4j Graph Data Science and Amazon SageMaker on AWS.