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5 key areas for tech leaders to watch in 2020

O'Reilly on Data

O’Reilly online learning contains information about the trends, topics, and issues tech leaders need to watch and explore. It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. Up until 2017, the ML+AI topic had been amongst the fastest growing topics on the platform.

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5 things on our data and AI radar for 2021

O'Reilly on Data

Some of these are emerging topics and others are developments on existing concepts, but all of them will inform our thinking in the coming year. The Right Solution for Your Data: Cloud Data Lakes and Data Lakehouses. Data lakes have experienced a fairly robust resurgence over the last few years, specifically cloud data lakes.

Data Lake 362
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5 Benefits of Migrating Your Business to Google Cloud Platform

Analytics Vidhya

Introduction Cloud is one of the hottest topics and technologies these days. It attracts IT leaders and entrepreneurs of all levels by highlighting its numerous advantages.

Marketing 271
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Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

David Menninger's Analyst Perspectives

One reason is that the infusion of AI into cloud business applications will be incremental, with the level of sophistication constrained by a gradual leveling up of data availability and proven trustworthiness. One new and interesting topic covered at the event was process mining, which Infor is introducing in its various cloud suites.

Finance 130
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Build multi-Region resilient Apache Kafka applications with identical topic names using Amazon MSK and Amazon MSK Replicator

AWS Big Data

This post explains how to use MSK Replicator for cross-cluster data replication and details the failover and failback processes while keeping the same topic name across Regions. MSK Replicator supports an identical topic name configuration, enabling seamless topic name retention during both active-active or active-passive replication.

Metrics 107
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Fitch Group achieves multi-Region resiliency for mission-critical Kafka infrastructure with Amazon MSK Replicator

AWS Big Data

He helps customers architect and build highly scalable, performant, and secure cloud-based solutions on AWS. He provides guidance to AWS customers on best practices for their Cloud migrations. About the authors Kalyan Janaki is Senior Big Data & Analytics Specialist with Amazon Web Services.

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Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Profiles of IT executives suggest that many are planning to spend significantly in cloud computing and AI over the next year. Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. Companies are embracing AI and data technologies in the cloud. Security and privacy.

Big Data 271