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Real-Time Big Data Analytics

The Data Administration Newsletter

Businesses today rely on real-time big data analytics to handle the vast and complex clusters of datasets. From 2010 to 2020, there has been a 5000% growth in the quantity of data created, captured, and […] Here’s the state of big data today: The forecasted market value of big data will reach $650 billion by 2029.

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The mystery of indexing – A guide to different types of indexes in Python

Data Science Dojo

Using the “Top Spotify songs from 2010-2019” dataset on Kaggle ( [link] ), we read it into a Python – Pandas Data Frame. Clustered Indexes : have ordered files and built on non-unique columns. You may only build a single Primary or Clustered index on a table. Let us move on to a bit more practical example.

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For nearly two decades, IBM Consulting has helped power SingHealth’s digital transformation

IBM Journey to AI blog

This partnership allows the public healthcare cluster to remain agile and navigate ongoing changes in compliance and technology. HR digital transformation In 2010, SingHealth needed to consolidate the disparate HR systems across its hospitals, specialty centres and polyclinics.

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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning Blog

Make sure you have the following prerequisites: Create an S3 bucket Configure MongoDB Atlas cluster Create a free MongoDB Atlas cluster by following the instructions in Create a Cluster. Setup the Database access and Network access. The following screenshots shows the setup of the data federation.

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Understanding earthquakes: what map visualizations teach us

Cambridge Intelligence

There are over 23,000 earthquake records in there, so to keep things more manageable, I focused only on those that happened between 2010-2016. in 2010-2011, we use the time bar sliders to select what we want. Let’s focus on the major earthquakes between 2010-2011, including the 9.1 Yellow for a magnitude of 5.5 – 5.9

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Cassandra vs MongoDB

Pickl AI

Released as an open-source project in 2008 and later becoming a top-level project of the Apache Software Foundation in 2010, Cassandra has gained popularity due to its scalability and high availability features. Cassandra’s architecture is based on a peer-to-peer model where all nodes in the cluster are equal.

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A review of purpose-built accelerators for financial services

AWS Machine Learning Blog

The following figure illustrates the idea of a large cluster of GPUs being used for learning, followed by a smaller number for inference. From 2010 onwards, other PBAs have started becoming available to consumers, such as AWS Trainium , Google’s TPU , and Graphcore’s IPU.

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