Data Warehouses To Data Lakehouse

Data Lakehouse represents a pivotal move in the evolution of data management for analytics, seamlessly merging the strengths of Data Lakes and Data Waresouses to create a unified and versatile platform for comprehensive enterprise analytics and machine learning (ML) applications.

This eBook traces the evolution of enterprise data management for analytics, focusing on milestones like Data Warehousing, the emergence of Data Lake, and its limitations that eventually led to the development of the Enterprise Data Lakehouse & it also, highlights the benefits and the challenges, introducing you to an enterprise-ready cloud data management solution for all analytical and ML/AI workloads.

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A Guide to Data Security and Data Privacy in Non-Production and Analytical Environments

Traditionally, enterprises have focused on securing data in production environments, often overlooking the critical need for data security in non-production and analytical areas. This oversight exposes organizations to malicious external attacks and inadvertent internal mishandling of sensitive data.

This e-book discusses the key drivers for securing sensitive data and the vital role of data masking in safeguarding sensitive data in often neglected non-production and analytical environments.

Download this eBook now to explore key topics:

  • Internal and external threats
  • Global breach insights and penalties overview
  • Industry and privacy regulatory landscape
  • Benefits and techniques of data masking

Mainframe Modernization: Why Do You Need It? And How Can Archiving Legacy Mainframe Applications Help?

Are you ready to step into the future and revolutionize your business? Download our ebook to discover the transformative power of modernizing legacy mainframe applications. Despite the rapid advancements in cloud, web technologies, and application architectures, many companies still rely on outdated mainframe systems. In this ebook, we delve into the challenges faced by organizations and present a phased approach to transitioning away from legacy mainframes.

Learn how archiving data and applications, embracing modern technologies, and retaining access to legacy data can drive cost savings, operational efficiency, and compliance. Don’t miss out on this opportunity to unlock the true potential of your enterprise.

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SAP Application Retirement and Decommissioning

In this comprehensive guide, we delve into the necessity of data and application retirement, focusing specifically on SAP environments. Discover the considerations, strategies, and best practices for decommissioning SAP applications and effectively archiving data.

This eBook also highlights the importance of selectively migrating active and relevant data to SAP S/4HANA, retiring the older ECC system and historical data to save costs and simplify SAP S/4HANA migrations.

Don’t miss out on the opportunity to optimize your IT infrastructure, reduce costs, and ensure data compliance. Download our eBook today and unlock the potential of SAP application retirement and decommissioning.

Active SAP Data Archiving

Learn how SAP Archiving can help manage data growth, improve overall system performance and reduce costs.

The widespread adoption of SAP solutions within enterprises has led to exponential growth in data. But if left unchecked, this unmitigated data influx
will stretch SAP system resources thin and degrade system performance, resulting in a loss of productivity and frustrated business users. Overcoming
these issues requires prioritizing information lifecycle management (ILM).

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Optimize Migration to SAP S/4HANA with SAP Archiving

SAP S/4HANA offers a lean architecture, better user experience, and access to modern technologies like artificial Intelligence, the Internet of things, and advanced analytics. Additionally, with SAP announcing the end of support for ECC 6 by 2027, existing SAP customers must plan to migrate to SAP S/4HANA.

Read our eBook to explore the crucial role of data archiving in the successful migration to SAP S/4HANA. Migrating to SAP S/4HANA requires careful consideration of accumulated transaction data, business unit changes, and the management of ever-growing databases. Without a solid data archiving strategy, the migration process can be derailed and result in a costly and complex migration.

Discover how archiving less frequently accessed or redundant information can preserve historical enterprise data for compliance and reporting while keeping the TCO of the new SAP S/4HANA system manageable. Don’t overlook the criticality of data archiving in your migration journey.

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What Should You Consider for Effective Data Governance Policy Management?

Data is a valuable asset for businesses, but its ubiquitous presence makes effective data governance more critical than ever. This eBook explains the importance of a data governance policy, which outlines how an organization manages its data assets and covers areas such as data retention, access, quality, privacy, and security.

A well-designed set of data governance policies and sound policy management by senior business and IT leaders can help organizations reduce costs, maintain their competitive edge, and achieve their business goals while minimizing the risk of data breaches and ensuring regulatory compliance. This eBook provides insights on effective policy management for optimizing the value of data in driving business success.

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