Big Data Cross Infrastructure Landscape
Cross-Infrastructure is a business analytics process wherein multiple sets of data from different channels or sources are linked or housed together and then most of whom offer an end-to-end solution for storing, processing, analysing and visualising data. That’s analyzed in order to provide customer and marketing intelligence that the business can use.
Cross-Infrastructure stands for breaking down the ecosystem into composite parts, focusing on software which specifically focuses one or two of these objectives. In this edition, we’ll be examining the big data offerings of household names and global leaders, most of whom offer an end-to-end solution for storing, processing, analysing and visualising data.
Benefits of Cross-Infrastructure analytics:
• Measuring referrals – High- and low-value placements can be identified by analyzing URL referrals across online channels.
• Latency or time impact – The true latency pattern of customers who converted can be measured by analysing the consumer-level data across the conversion path.
• Funnel analysis – Analysts can determine which channel combinations can result in the highest results and also gain insights into which paths lead to conversion.
Big Data Cross-Infrastructure / Analytics Service Providers
- AWS
- Google Cloud
- Microsoft
- IBM
- SAS
- 1010DATA
- VMware
- Tibco
- Teradata
- SAP
- Oracle
- Netapp
- Syncsort
- Mapr
- Cloudera
- Hewlett Packard Enterprise
Big Data Open Source Landscape
If you are in Big data platform, I would recommend you check out these projects which are a few of the big data open source projects that have the largest potential for enabling companies to have extreme agility and lightning fast responses to customers, business needs and market challenges.
keep a pulse on them and start considering the potential impact they may have on your IT infrastructure and overall business
Big Data Open Source Framework Landscape
- Hadoop HDFS
- Hadoop Map Reduce
- Apache Kylin
- YARN
- Flink
- Spark
- CDAP
- Mesos
- TEZ
- SLIDER
Big Data Open Source Machine Learning / AI / Deep Learning Landscape
- TensorFlow
- Theano
- Torch
- MAD lib
- Scikit learn
- Caffe
- Microsoft Cognitive Toolkit
- Open AI
- Apache Singa
- Feature Fu
- Mxnet
- Dsstne
- Mllib
- DL4J
- Neon
- Chainer
- Veles
- Dimsum
- Weka
- Mahout
- Aerosolve
Big Data Open Source Data Query / Data Flow Landscape
- Spark SQL
- PIG
- Hive
- Presto
- Slam Data
- Apache Drill
- Google Cloud Data Flow
- Flink
Big Data Open SourceStreaming Application Landscape
- Spark
- Apex
- Flink
- Beam
- Kafka
- Druid
- Strom
Big Data Open Source Co-ordination Application Landscape
- Acxion
- Experian
- Insideview
- Epsilon
- Crimson Hexagon
- Basis
- Quantcast
- Safe Graph
Big Data Open Source Search Applications Landscape
- Elastic Search
- Solr
- Licere
Big Data Open Source Logging & Monitoring Applications Landscape
- Elastic Search
- Kibana
- Logstash
- Sentry
Big Data Open Source Data Access Landscape
- Cassandra
- Nifi
- MangoDB
- Sqoop
- Flume
- Couch DB Relax
- Openb TSDB
- Riak
- Apache HBase
- Cloud Spanner
- Accumulo
Big Data Open Source Statistical Report Dev Landscape
- Python
- R
- Scalalab
- Numpy
- Scipy
- Julia
Big Data Open Source Visualization Tools Landscape
- BeakerX
- Rodeo
Big Data Open Source Collaboration Tools Landscape
- Jupyter
- Zeppelin
- Anaconda
Big Data Open Source Security Tools Landscape
- Apache Ranger
- Knox
- Sentry
Big Data Analytics DATA Sources & APIs Landscape
Data is ubiquitous — Many companies of various sizes believe they have to collect their own data to see benefits from big data analytics, but it’s simply not true. Some times we need to get the data from some of the trusted sources and analyse the data which can be draw a better picture based on the results which applicable to our organization.
There are hundreds (if not thousands) of free data sets available, ready to be used and analyzed by anyone willing to look for them. Below is a list of data sources which can help for enabling companies to prepare excellent business strategies.
The following is a list of APIs for different sectors of the business, this API directory lists APIs of different types. For example, Web/Internet APIs, browser APIs, and certain product APIs. You can get the related SDKs, Tutorials, and sample source code for consuming those APIs.
Big Data AIR / Space / Sea Data & API Source Landscape
- Ornital Insight
- Planet
- Skycatch
- Airware
- Airobotics
- Spire
- Kespry
- Precision Hawk
- Understory
- Descartes Labs
- Windward
- Telluslabs
- DroneDeploy
- Marine Traffic
Big Data Other Data Source and API Landscape
- Qualtrics
- Data.Gov
- Data.world preview
- Enigma
- Crux
- Mobilewalla
- Highcharts
Big Data Health Data & API Source Landscape
- Apple
- Validic
- Practicefusion
- Fitbit
- Garmin
- Human API
- Kinsq
Big Data IoT and IIoT Data Sources & API Landscape
- GE Digital
- Uptake
- Samsara
- Augury
- Estimate
- Helium
Big Data Location IntelligenceTools Landscape
- FourSquare
- Ampanything
- MAPbox
- Sense 360
- Pitneybowes
- Hexagon
- Place IQ
- Esri
- Factual
- Carto
- Mapillary
- Streetline
- Cuebiq
- Radar
Big Data Data Services Landscape
- Palantir
- Opera
- UQ mu Sigma dothe math
- Silicon Valley - DATA Science
- Fractaboo
- Datakind
- Xexl
- Innoplcxus
Big Data Research Data Source Landscape
- OpenAI
- FacebookResearch
- Mila
- MIRI
- Vector Institute
- Csail
- Allen Institute for Artificial Intelligence
- OFAI
Big Data Financial & Economic Data Source and API Landscape
- Bloomberg
- Thomson Reuters
- Dow Jones
- S&P Capital IQ
- CB Insights
- Xignite
- Quandl
- Envestnet yodlee
- Premise
- EStimize
- Second Measure
- System
- Eagle Alpha
- Stock Twits
- Plaid
- Thinknum
- Earnest
Big Data People / EntitiesData Sources & API Landscape
- Acxion
- Experian
- Insideview
- Epsilon
- Crimson Hexagon
- Basis
- Quantcast
- Safe Graph
Big Data Education Resources Landscape
- Pluralsight
- GA
- Galvanize
- Data Camp
- Data elite
- Insight
- The Data Incubator
- Metis
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