Real-Time Unified Data Layers: A New Era for Scalable Analytics, Search, and AI v 1.1Table of Contents Introduction 1. The Interconnection of Analytics, Search, and AI 2. What is a Real-Time Unified Data intelligence. For example: FMCG & Manufacturing need real-time production dashboards and historical analytics shared across plants & lines to improve Overall Equipment Effectiveness (OEE). Energy companies platforms require real-time monitoring and analytics to personalize experiences and ensure performance. 32. The Interconnection of Analytics, Search, and AI Analytics, search, and AI are deeply interconnected

conda Documentation Release 4.6.0 Continuum Analytics Jan 28, 2019 Contents 1 User guide 3 2 Conda Commands 65 3 Conda Configuration 81 4 Conda Python API 91 5 Release notes 99 6 Command reference include in new environments. To create or modify a .condarc file, use the conda config command or use a text editor to create a new file named .condarc and save it to your user home directory or root directory Conda environments can include saved environment variables. Suppose you want an environment “analytics” to store both a secret key needed to log in to a server and a path to a configuration file. The

conda Documentation Release 4.6.1 Continuum Analytics Jan 28, 2019 Contents 1 User guide 3 2 Conda Commands 65 3 Conda Configuration 81 4 Conda Python API 91 5 Release notes 99 6 Command reference include in new environments. To create or modify a .condarc file, use the conda config command or use a text editor to create a new file named .condarc and save it to your user home directory or root directory Conda environments can include saved environment variables. Suppose you want an environment “analytics” to store both a secret key needed to log in to a server and a path to a configuration file. The

install prefix. Each line of this file should be either a path, in which case it is considered a text file with the default placeholder /opt/anaconda1anaconda2anaconda3, or a space-separated list of placeholder • Mode is either text or binary. • Path is the relative path of the file to be updated. EXAMPLE: On Windows: "Scripts/script1.py" "C:\Users\username\anaconda\envs\_build" text "Scripts/script2.bat" /Users/username/anaconda/envs/_build binary bin/binary /Users/username/anaconda/envs/_build text share/text Note: The directory delimiter for the relative path must always be "/", even on Windows. The

install prefix. Each line of this file should be either a path, in which case it is considered a text file with the default placeholder /opt/anaconda1anaconda2anaconda3, or a space-separated list of placeholder • Mode is either text or binary. • Path is the relative path of the file to be updated. EXAMPLE: On Windows: "Scripts/script1.py" "C:\Users\username\anaconda\envs\_build" text "Scripts/script2.bat" /Users/username/anaconda/envs/_build binary bin/binary /Users/username/anaconda/envs/_build text share/text Note: The directory delimiter for the relative path must always be "/", even on Windows. The

rather than running conda after pip. When appropriate, conda and pip requirements should be stored in text files. We recommend that you: Use pip only after conda • Install as many requirements as possible additional conda packages, it is best to recreate the environment. Store conda and pip requirements in text files • Package requirements can be passed to conda via the --file argument. • Pip accepts a list Conda environments can include saved environment variables. Suppose you want an environment "analytics" to store both a secret key needed to log in to a server and a path to a configuration file. The

rather than running conda after pip. When appropriate, conda and pip requirements should be stored in text files. We recommend that you: 30 Chapter 4. Contributors welcome conda, Release 25.1.2.dev1 Use additional conda packages, it is best to recreate the environment. Store conda and pip requirements in text files • Package requirements can be passed to conda via the --file argument. • Pip accepts a list Conda environments can include saved environment variables. Suppose you want an environment "analytics" to store both a secret key needed to log in to a server and a path to a configuration file. The

rather than running conda after pip. When appropriate, conda and pip requirements should be stored in text files. We recommend that you: 30 Chapter 4. Contributors welcome conda, Release 24.11.3.dev2 Use additional conda packages, it is best to recreate the environment. Store conda and pip requirements in text files • Package requirements can be passed to conda via the --file argument. • Pip accepts a list Conda environments can include saved environment variables. Suppose you want an environment "analytics" to store both a secret key needed to log in to a server and a path to a configuration file. The

rather than running conda after pip. When appropriate, conda and pip requirements should be stored in text files. We recommend that you: 30 Chapter 4. Contributors welcome conda, Release 24.9.3.dev1 Use additional conda packages, it is best to recreate the environment. Store conda and pip requirements in text files • Package requirements can be passed to conda via the --file argument. • Pip accepts a list Conda environments can include saved environment variables. Suppose you want an environment "analytics" to store both a secret key needed to log in to a server and a path to a configuration file. The

rather than running conda after pip. When appropriate, conda and pip requirements should be stored in text files. We recommend that you: Use pip only after conda • Install as many requirements as possible additional conda packages, it is best to recreate the environment. Store conda and pip requirements in text files • Package requirements can be passed to conda via the --file argument. • Pip accepts a list Conda environments can include saved environment variables. Suppose you want an environment "analytics" to store both a secret key needed to log in to a server and a path to a configuration file. The