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The need to integrate diverse data sources has grown exponentially, but there are several common challenges when integrating and analyzing data from multiple sources, services, and applications. First, you need to create and maintain independent connections to the same data source for different services.
Customers often want to augment and enrich SAP source data with other non-SAP source data. Such analytic use cases can be enabled by building a data warehouse or data lake. Customers can now use the AWS Glue SAP OData connector to extract data from SAP.
With the growing emphasis on data, organizations are constantly seeking more efficient and agile ways to integrate their data, especially from a wide variety of applications. In addition, organizations rely on an increasingly diverse array of digital systems, data fragmentation has become a significant challenge.
Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019. What is a Data Fabric?
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How Data Literacy Turns Data from a Burden to a Benefit. Today, data literacy is more important than ever. Data is now being used to support business decisions few executives thought they’d be making even six months ago. So, what is data literacy? What Is Data Literacy? Data Literacy Definition.
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That means you should leave that old legacy system in the dust and migrate to a brand-spanking-new cloud-based data system as soon as possible, right? There’s no denying the immense benefits that cloud computing can bring to data management: easier scalability, reduced cost of IT operations, improved performance… the list goes on.
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This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management. Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics.
Although Jira Cloud provides reporting capability, loading this data into a data lake will facilitate enrichment with other business data, as well as support the use of business intelligence (BI) tools and artificial intelligence (AI) and machine learning (ML) applications.
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Can you tell us more about what Alation Analytics is and it’s connection to data culture? These include catalog adoption, governance, curation, and asset tracking. These include catalog adoption, governance, curation, and asset tracking. With Alation Analytics, we’re giving you tools to monitor catalog adoption and health.
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This is a guest blog post co-written with Sumesh M R from Cargotec and Tero Karttunen from Knowit Finland. Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. Cargotec’s use cases also required them to create views that span tables and views across catalogs.
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The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. But the implementation of AI is only one piece of the puzzle.
This is a guest blog post co-written with Zack Rossman from Alcion. Alcion, a security-first, AI-driven backup-as-a-service (BaaS) platform, helps Microsoft 365 administrators quickly and intuitively protect data from cyber threats and accidental data loss. OpenSearch is an Apache-2.0-licensed,
An enterprise datacatalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. An enterprise datacatalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more.
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In this blog, I will cover: What is watsonx.ai? IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. What capabilities are included in watsonx.ai? What is watsonx.data?
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