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Migrate from Amazon Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink and Amazon Managed Service for Apache Flink Studio

AWS Big Data

Amazon Kinesis Data Analytics for SQL is a data stream processing engine that helps you run your own SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. Apache Flink is a distributed open source engine for processing data streams.

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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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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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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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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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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

This organism is the cornerstone of a companys competitive advantage, necessitating careful and responsible nurturing and management. To succeed in todays landscape, every company small, mid-sized or large must embrace a data-centric mindset.

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What you need to know about product management for AI

O'Reilly on Data

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. But with Logi Symphony, these challenges become opportunities.

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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.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Our esteemed speakers will discuss the emerging trends shaping the future of product management and business intelligence.