The document provides an overview of various components and technologies within the big data landscape, including data ingestion, processing, analytics, and different types of databases. It highlights tools for visualization and reporting, as well as emphasizes the significance of structured data management and analytics services. Additional resources and links to social media platforms for Qaware GmbH are included for further exploration.

1. qaware.de/news/big-data-landscape
For more big data know-how see:
Ingestion
Data Sources
Data Lake
Processing
Data Warehouse
Analytics
User Interface
Dashboards
Distributed Filesystem
NoSQL DB
Efficient data serialization formats:
Integrated compression
Column-oriented storage
Predicate pushdown
Data Workflows ETL Jobs Massive Parallelization Data Logistics Stream Processing
Charting Libraries
pandas
shinydashboard
Thrift
Index Machines: Fast aggregation
and search.
In-Memory Databases: Fast access.
Memcached
Graph Databases
NewSQL: SQL meets NoSQL.
Time Series Databases
ImpalaSQL
Pig
Streams
Rickshaw
NVD3
InfoVis
Vaadin Charts
dc.js
Highcharts
ChartJS
RazorFlow
AtlasPrometheus
STRUCTURED DATA LAKE:
The eternal memory.
POLYGLOTT PERSISTENCE &
ANALYTICS
ANALYTICS FRONTENDSALGORITHMS MICRO ANALYTICS SERVICES:
Subsitutes for reporting servers.
Tarantool
Heroic
Kylin
Flink
twitter.com/qaware slideshare.net/qaware
youtube.com/qawaregmbh
xing.com/companies/qawaregmbh github.com/qaware
linkedin.com/company/qaware-gmbh
QAware GmbH
+49 89 232315-0
info@qaware.de
qaware.de
GraphX
Streaming
Flink
Flink
qaware.de/news/big-data-landscape
For more big data know-how see:Big Data Landscape 2019
Interactive Analytics Reporting & DashboardsData Science