Webinar on Can non programmers join Big Data and Data Science roles?

Are you a beginner with no knowledge or experience in programming but still aspire to make a career in Big Data & Data Science? Then this session is just for you. How much of programming is required to get a job in Big Data? What are the programming prerequisites to be Data Scientist? Do you need to learn Java to become a Big Data programmer? What makes Python the language of choice for data scientists? How easy it for people from Oracle, SAP, testing & project management backgrounds to learn Python programming? A 15-minute sneak peek into Python programming.
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An overview of steps needed to comply with GDPR

EUGDPRAcademy

This webinar to learn: - Key steps towards GDPR compliance - Tips for implementation – using tools, hiring a consultant, costs involved, how long it takes - Documentation required by the regulation - Relationships with information security standards
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Transforming the Database: Critical Innovations for Performance at Scale

Your team is serious about ensuring database performance at scale. But legacy NoSQL technology could be eroding the impact of your achievements. Following best practices for efficient data modeling, query optimization and observability is fundamental. But their power can be limited – or enhanced – by specific database capabilities. Often-overlooked database innovations can serve as a force multiplier, paving a much smoother path to speed at scale (e.g., millions of read/write operations and millisecond P99 response).
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A Matter of Urgency: Using Data and AI to Drive Acquisition and Engagement

Fewer patients, preventative screenings, and primary care visits. Lower revenues. Worsening population health outcomes. The healthcare industry is facing serious challenges to its business model as consumer behavior shifts to other ways to meet their healthcare needs or a complete failure to seek care until conditions become acute. The need to meet consumers where they are and engage with them on their terms has never been more urgent.
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Combining Data Management with Organizational Change

Global Data Strategy

Data Governance is both a technical and an organizational discipline, and getting Data Governance right requires a combination of Data Management fundamentals aligned with organizational change and stakeholder buy-in. Join Nigel Turner and Donna Burbank as they provide an architecture-based approach to aligning business motivation, organizational change, Metadata Management, Data Architecture and more in a concrete, practical way to achieve success in your organization.
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