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Python in Excel: Opening the Door to Advanced Data Analytics

Analytics Vidhya

The foundational data management, analysis, and visualization tool, Microsoft Excel, has taken a significant step forward in its analytical capabilities by incorporating Python functionality.

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Altair Accelerates Data Analytics with RapidMiner

David Menninger's Analyst Perspectives

Organizations are continuously combining data from diverse and siloed sources for analytical, artificial intelligence and machine learning projects. As the volume of data grows, it becomes challenging for organizations to manage and keep current to extract valuable insights in a timely manner.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

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Using Data Analytics for Selecting Staff Augmentation & Managed Services

Smart Data Collective

Fortunately, new advances in big data technology are helping companies get better qualified workers. Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes. What Are the Benefits of Data Analytics in Staffing?

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. Anticipated future use cases as we project into 2024 and beyond.

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Fleet Management Firms Use Data Analytics for Optimal Customer Service

Smart Data Collective

More companies than ever are investing in customer service analytics. The customer service analytics market is projected to be worth $46.6 The fleet management sector is among those driving the growing demand. Many fleet management companies were reluctant to embrace the power of big data a decade ago.

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Managing SQL Database on Google Cloud

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction This article shows how you can create and manage a Cloud SQL Database on Google Cloud Platform and further connect that database to any web application. The post Managing SQL Database on Google Cloud appeared first on Analytics Vidhya.

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Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently. Javier Ramirez will present: The typical steps for building a data lake.

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The Practical Guide to Using a Semantic Layer for Data & Analytics

You’ll learn how a semantic layer delivers massive ROI with streamlined query performance, concurrency, cost management, and ease of use. Read this guide to learn: How to make better, faster, and smarter data-driven decisions at scale using a semantic layer.