Data Science: A Guide to Careers and Team Building

Before your enterprise rolls out new technologies to fulfill that wish list, the work starts with building a data science team that ensures data quality, identifies new data sources, and implements the right technology so the digital experience is efficient and seamless.

If you are responsible for recruiting, training, deploying, and managing that data science team, this Enterprise Guide is the first step in building out a data science knowledge base.

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Remote & Hybrid Work and the Shift from Speaking to Scribing

With remote work becoming more the norm, in the IT/computing sector as well as elsewhere, onsite communication between employees has now been replaced with relaying information through emails, Slack messages, chats, comment threads, and other forms of digital communication. For remote and hybrid teams, writing has become the principal method of communication, thus making it essential to have the skills necessary to produce clear, concise instructions and messages.

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Business team in a meeting room observing IoT deployment roadmap presentation

How to Evaluate Consultant Service Partners for Enterprise IoT

As you prepare to deploy IoT technology, understanding your project requirements and potential hurdles is crucial. Identifying a suitable enterprise IoT consultant involves thorough self-assessment and targeted questions about their experience, security practices, scalability, and data management strategies. The right partner can enhance the success of your deployment.

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What’s in Your Data and Analytics Agenda for 2022? Here is Ours.

From the Executive Leader level (CxO): Executive Leadership: Data and Analytics Primer for 2022 Organizations face greater challenges with more unknowns and often less trusted information through 2022 than ever before.

Data and Analytics Programs and Practices Primer for 2022 Data and analytics leaders are required to reengineer decisions and build an intelligent composable enterprise.

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Azure focuses on feature abundance and integrations to become the all-inclusive cloud experience

It offers many features in the data and analytics space, ranging from Platform-as-a-Service (PaaS) solutions for data and big data management and analytics, to multiple AI and machine learning offerings, to specialized Software-as-a-Service (SaaS) solutions such as Azure Purview,which is a unified data governance solution that helps users manage and govern their on-premises, multi-cloud, and SaaS data.

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Dynatrace : Software intelligence as code enables tailored observability, AIOps, and application security at scale

Development teams need specific insights into the microservices they are responsible for, reflecting particular metrics, dashboards, custom alerts, service-level objectives (SLOs), or even automatic remediation steps. But setting up these tools requires in-depth knowledge and causes massive effort if done manually.

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Beyond the Data Warehouse: What Are the Repository Options Today?

With the rise of unstructured big data, which now comprises roughly 80% of all enterprise data under management, a new wave of data repositories has come into use that don’t always use a data warehouse.

Data lakes are different. Their purpose is to store, secure and avail access to aggregated combinations of structured and unstructured data that are tailored to a particular area of the business.

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