DATA INTELLIGENCE HUB - For business customers

Erleben, was verbindet.

Your tool for data analysis

With the help of many helpful analysis tools offered by the Data Intelligence Hub, you can quickly and easily process your data and generate customized insights for you.

Screenshot von der Cloudera DataScience Workbench im Data Intelligence Hub

Data Science Workbench

With the Cloudera Data Science Workbench, data scientists can manage their own analysis pipelines. This includes integrated planning, monitoring and email alerting. Quickly develop and prototype new machine learning projects and easily deploy them in production.

www.cloudera.com
Screenshot vom Dashboarding-Tool Grafana von Grafana Labs im Data Intelligence Hub

Grafana

Grafana Labs' free-to-use dashboarding tool Grafana helps you keep track of everything. It is very common because it is very mature and stable.

www.grafana.com
some alt text

H2O

H2O.ai's H2O open source service is a Java backend for machine learning applications. It comes either for beginners with a pre-set frontend or can be controlled via APIs using programming languages, such as Python, R or Java. It brings some of their own implementations of popular ML algorithms that are among the best in the market.

www.h2o.ai
IBM Watson Studio

IBM: Watson Studio

Organizations are now tapping data science and artificial intelligence (AI) as a technology-enabled business strategy. Experimentation is accelerating across multiple clouds. IBM Watson Studio is a leading data science and machine learning platform built from the ground up for an AI-powered business. It helps enterprises simplify the process of experimentation to deployment, speed data exploration and model development and training, and scale data science operations across the lifecycle. IBM Watson Studio empowers organizations to tap into data assets and inject predictions into business processes and modern applications and then optimize business value with visual data science and decision optimization. It's suited for hybrid multicloud environments that demand mission-critical performance, security and governance —in public clouds, in private clouds, on-premises and on the desktop.

www.ibm.com/watson-studio
Screenshot von der Open-Source-Workbench Jupyter von NumFocus im Data Intelligence Hub

Jupyter (Hub / Notebook)

This NumFocus open source workbench is similar to easy-to-use text document processing software. Unlike the default editor, it provides the user with meaningful and efficient features to easily access data and other resources.

www.numfocus.org
Screenshot von der Workbench Rstudio im Data Intelligence Hub

Rstudio

RStudio is an integrated development environment (IDE for short) that allows you to analyze data in the R programming language. The workbench includes a console, a syntax highlighting editor that supports direct code execution, and tools for plotting, history, debugging, and workspace management.

www.rstudio.com
Screenshot vom Tool Zeppelin von Apache im Data Intelligence Hub

Zeppelin

Developed by the Apache open source community, this tool helps with data acquisition, recognition, analysis and visualization. The interpreters allow you to attach code in any language to Zeppelin with support for Apache Spark, R, Hive, Shell, Cassandra, and more.

www.zeppelin.apache.org

Your additional services for data analysis

You do not have to develop your own algorithms to link your own and external data: The Data Intelligence Hub offers you a large number of the best applications and libraries to process data and generate insights.

Akka

Auto-ML

Azure Datalake Store

Blaze

Bokeh

Breeze

Caret

Dask

Deeplearning Scala

Devtools

Dplyr

Elasticsearch

Epic

Fasttext

Fbprophet

Gadfly

Gensim

Ggmap

H2O

Julia

The still young open-source programming language Julia by NumFocus is a fast and easy-to-use programming language for demanding scientific calculations. It is therefore ideal for solving complex problems.

numfocus.org/project/julia

JuliaDB

Keras

Librosa

Lubridate

Matplotlib

Numpy

OnlineStats

Pandas

Parquet

Plotly

PredictionIO

Pymongo

Python

Python is a programming language that helps you work more efficiently and integrate systems more effectively. By using it, productivity increases can be achieved quickly and maintenance costs lowered in the long term. Python is suitable for experienced programmers as well as beginners.

python.org

Quantmod

R

The popular open source programming language of the R Core Team is a free software environment for statistical calculations and graphics. R compiles and runs on a variety of UNIX platforms, Windows and MacOS, making it extremely easy to use.

r-project.org

Redis-py

Rmarkdown

Saddle

Scala

The still young open-source programming language of the École polytechnique fédérale de Lausanne allows the combination of several different programming styles. It ensures best functional as well as object-oriented programming.

scala.epfl.ch

Scikit-learn

Scipy

Shiny

Slick

Smile Icon

Smile

SQLAlchemy

Stringr

SummingBirds

Sympy

Tensorflow

Google's Tensorflow open source tool is the most widely used library for building neural networks and offers the largest family of algorithms within the data science spectrum. Tensorflow is available for Python, R, Java and Javascript.

www.tensorflow.org

Textblob

Tidyr

Torch

Vegas

XGBoost

In addition to DeepLearning (for neural networks), DMLC's XGBoost open source tool is the most popular algorithm for programming machine learning applications.

www.xgboost.ai