Azure Cloud Data Data Analysis 
Data Science Blog
JULY 23, 2023
Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. One of this aspect is the cloud architecture for the realization of Data Mesh. See this as an example which has many possible alternatives.
Data Science 101
JANUARY 10, 2020
Google Releases a tool for Automated Exploratory Data Analysis Exploring data is one of the first activities a data scientist performs after getting access to the data. This command-line tool helps to determine the properties and quality of the data as well the predictive power. Courses & Learning.
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Data Science Dojo
SEPTEMBER 11, 2024
With this full-fledged solution, you don’t have to spend all your time and effort combining different services or duplicating data. OneLake, being built on Azure Data Lake Storage (ADLS), supports various data formats, including Delta, Parquet, CSV, and JSON.
Pickl AI
DECEMBER 26, 2024
Each platform offers unique capabilities tailored to varying needs, making the platform a critical decision for any Data Science project. Major Cloud Platforms for Data Science Amazon Web Services ( AWS ), Microsoft Azure, and Google Cloud Platform (GCP) dominate the cloud market with their comprehensive offerings.
Data Science Blog
NOVEMBER 15, 2023
The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.
Smart Data Collective
APRIL 29, 2020
Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management. Microsoft Azure.
Smart Data Collective
JANUARY 10, 2023
Every company should clearly understand and plan in detail how the received data will be used further, how it can be distributed, and who will get access to it. Ensure cloud data storage. For enjoying all the benefits that IoT technologies can offer us today, it is vital to find a place where all the gathered data will be kept.
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