The Data Administration Newsletter

JULY 18, 2023

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.

Big Data Analytics 52

Big Data Analytics Big Data Analytics Big Data Big Data 52

Cambridge Intelligence

NOVEMBER 8, 2023

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

Clustering 64

Clustering Data Visualization Database Data Modeling 64

Data Science Dojo

MAY 3, 2023

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.

Python 369

Python Clustering SQL Data Science 369

AWS Machine Learning Blog

DECEMBER 18, 2023

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.

Clustering 108

Clustering AWS Database ML 108

IBM Journey to AI blog

APRIL 5, 2023

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.

Clustering 62

Clustering Data Governance 62

O'Reilly Media

SEPTEMBER 19, 2023

A basic, production-ready cluster priced out to the low-six-figures. A company then needed to train up their ops team to manage the cluster, and their analysts to express their ideas in MapReduce. Plus there was all of the infrastructure to push data into the cluster in the first place. Goodbye, Hadoop. And it was good.

Hadoop 99

Hadoop Algorithm ML ML 99

Mlearning.ai

JANUARY 31, 2023

It turned out that a better solution was to annotate data by using a clustering algorithm, in particular, I chose the popular K-means. So I simply run the K-means on the whole dataset, partitioning it into 4 different clusters. The label of a cluster was set as a label for every one of its samples. 2010, doi: 10.1109/TBME.2010.2060723.

Clustering 52

Clustering Algorithm Machine Learning Machine Learning 52