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Watch full webinar here: https://bit.ly/2UhNem8 Many businesses are moving to the Cloud. This process can take many years with data spanning On-Prem and Cloud. When Denodo needs to be deployed in a Hybrid Cloud Architecture, how should one implement that? Join this session to get a deep dive look at how to create a shared Virtual Database that exposes a consistent Semantic Model using Denodo’s Interfaces. Both On Prem and Cloud will have their own Virtual Databases. Watch on-demand this webinar to learn: - How to create a Semantic Data Model - How to use Denodo Interfaces to abstract data access for the Semantic Model - How to create a shared Virtual Database

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With data exploding in volume, variety, and velocity, and creating new challenges, it is critical for organizations to adopt a database solution that is performant, resilient, and capable of handling massive amounts of polymorphic data. At the same time, they must reduce the total cost of ownership (TCO) to free up budgets for business transformation programs. Modernization should employ an industrial methodology to drive the needed savings, but organizations should prepare for the risks and challenges of database modernization/migration at an industrial scale. Delivered at Postgres Vision 2018, this presentation by Gautam Khanna, Vice President and Global Head of Open Source Center of Excellence, Infosys, addresses the benefits of migrating to Postgres using its software plus services approach.

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The retail industry has a long history of fierce competition leading to innovations in marketing and operational efficiencies; however, this rapid advancement has not always kept pace with the latest advances in technology. This is evident by the abundance of business analysts at large enterprise retailers who are often constrained more by their own IT departments than by a lack of expertise or problems to solve. RubiOne was designed as a vertically-integrated big data analytics development environment for retail business analysts and data scientists, with Apache Spark as the cornerstone of the product. It allows retailers to make data-driven decisions going beyond traditional analytics tools such as SQL and Excel. Using Apache Spark as one of the primary tools to query data and perform analytics, issues such as package installation, computational resources, and scalability are seamlessly handled by RubiOne. In this session, you will learn how Apache Spark can serve as a shared backbone for an entire suite of enterprise services such as credential management, continuous integration, ad-hoc interactive data exploration, and task automation, while still maintaining hard enterprise requirements around security, availability, and cost. Learn from our war stories and best practices around transparently scaling Apache Spark clusters with Kubernetes, managing service and user isolation, and monitoring accurate enough for both debugging and billing. Beyond the technical aspects, we’ll also share our experiences of working with a global enterprise retailer to drive adoption of a modern big data technology stack centered around Apache Spark.

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In our research paper titled "Qualitative Analysis on Tax Evasion and Reasons for Reluctance to Join ATL in Pakistan," we delve into the intricate dynamics of tax compliance and explore the underlying reasons why individuals in Pakistan might hesitate to become a part of the Active Taxpayer List (ATL) within the framework of business law and taxation. With a multidisciplinary approach, our team of five researchers embarked on an in-depth exploration of tax evasion behaviors and the factors influencing them. Through qualitative analysis, we aimed to unravel the complex interplay of socio-economic, cultural, and institutional factors shaping tax compliance attitudes among Pakistani taxpayers. Drawing on a diverse range of qualitative research methods, including interviews, focus groups, and content analysis, we gathered rich insights from a diverse sample of individuals representing various sectors of the economy. By immersing ourselves in the lived experiences and perceptions of taxpayers, tax advisors, and legal experts, we uncovered nuanced perspectives on tax evasion practices and attitudes toward ATL membership. Our findings highlight the multifaceted nature of tax evasion in Pakistan, shedding light on both the motivations driving non-compliance and the barriers to ATL enrollment. From perceived inefficiencies in the tax system to cultural norms and trust deficits in governmental institutions, our research identifies a myriad of factors contributing to tax evasion behavior and reluctance to join ATL. Furthermore, our study offers valuable implications for policymakers, tax authorities, and business stakeholders seeking to enhance tax compliance and foster a culture of transparency and accountability in Pakistan's taxation landscape. By addressing the underlying drivers of tax evasion and promoting the benefits of ATL membership, policymakers can design more effective strategies to broaden the tax base and promote sustainable economic development. In conclusion, our research paper represents a comprehensive endeavor to deepen our understanding of tax compliance dynamics in Pakistan and elucidate the complexities surrounding ATL enrollment. By unraveling the intricacies of tax evasion behaviors and attitudes, we hope to contribute to informed policymaking and foster a culture of tax compliance and integrity in Pakistan's business and taxation environment.

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