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5 Current Trends in Big Data for 2022 and Beyond

Smart Data Collective

The world of big data is constantly changing and evolving, and 2021 is no different. As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing.

Big Data 141
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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

Data Lake 106
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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

Our approach includes applying AI, Internet of Things (IoT), and advanced data and automation solutions to empower this transition. Downer explored this by working with IBM Consulting and using our technology to harness real-time data from 200+ trains across Australia.

IoT 80
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Conversational AI use cases for enterprises

IBM Big Data Hub

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

Visual analytics: Around three million images are uploaded to social media every single day. In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. Internet of Things. Connected Retail.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

The old models were not able to predict very well based on the previous year’s data since the previous year seemed like 100 years ago in “data years”. This is critical in our massively data-sharing world and enterprises. 7) Deep learning (DL) may not be “the one algorithm to dominate all others” after all.

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Introducing Cloudera DataFlow (CDF)

Cloudera

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). Process millions of real-time messages per second to feed into your data lake or for immediate streaming analytics.

IoT 73