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Trending Big Data Tools 2019

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Here we gonna discuss the top trending 20 big data tools of 2019 that would best suit for your company, we have prepared this list of tools by keeping cost efficiency and time management as first priority. – PowerPoint PPT presentation

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Title: Trending Big Data Tools 2019


1
Top 20 Big Data Tools
2019
2
1
It is a library framework that allows us to
proceed distributed processing of large data
sets across various cluster of computers. It
can be scaled up to handle thousands of server
machines.
3
By the definition, it is a fast, open source,
general purpose cluster computing framework.
2
API can be developed in JAVA, Scala, R and
python languages. This framework supports to
process large sets of data across various
clusters of computers
4
3
It is an open source real time big data
computation system and also free to use. It can
process unbounded streams of data in a
distributed real time.
5
4
Table is the powerful tool ever, it helps to
simplify the raw data into an easily
understandable data sets. Tableau work nature
can be easily understandable by professionals
who are in any level of an organization
6
5
Effective management of large set of data can
be done by apache cassandra, without
compromising the performance it can provide you
scalability and high ability. Cassandra is fault
tolerant, decentralized, Scalable, High
performer.
7
It is also an another open source, distributed
Big data tool that can stream process the data
with no hassles.
6
Provide accurate results for out of order and
delayed data Can easily recover from failures
8
7
Faster, easier and highly secure modern big data
platform. It allows user to get data from any
environment within a single and scalable
platform.
9
8
Developed by LexisNexis Risk Solution. It
delivers data processing on a single platform
with a single programming language support.
10
9
It is an autonomous big data platform. Wll be
self managed, self- optimized, it allows
businesses to focus on better outcomes.
11
It is an easy to use big data tool, that focuses
on statistical reports.
10
Explores data in seconds. it helps to cleanse
the data and create charts in seconds. We can
create histograms, heatmaps, and bar charts at
any time
12
11
It is the only big data tool that stores data in
JSON Documents, It provides distributed scaling
with ultra fault tolerant. It allows data
accessing through couch replication tool.
13
12
This big data tool can be used to extract,
prepare and blend the data. It provides both
visualization and analytics for a business.
14
Openrefine is also another big data tool , it
can help us to work with a large amount of
messy data.
13
It helps to explore large data sets with easy
manner. Can Link and extend data set across
various web services.
15
14
It is also an another open source big data
tool. Which is used for data prep, machine
learning, and data model deployments.
16
15
It is a Data quality analysis tool, inside the
data cleaner there is a strong data profiling
technique. Interactive and explorative data
profiling feature.Detects fuzzy
records.Validates data and reports them.
DATA Cleaner
17
16
It is a big data community , were businesses,
organizations and researchers can analyze their
data seamlessly.
18
17
It is an open source software big data tool.
Can help to analyze large data set on hadoop.
Querying and managing large data sets at real
fast.
19
18
It is a community, capable of handling
trillions of events a day. Created in 2011 and
open sourced by linkedin.Initially this was
started as a messaging platform then within a
short period it has been diverged in to even
streaming platforms,
20
19
It is a NoSQL Database uses graph data model
comprised of different vertices to represent
relationships between nodes .
Graph Databases
21
It is a search based lucene library,
distributed, full-text search engine with an
HTTP web interface.
20
It is compatible on every platform. Real time,
within a second of adding the document it can
searchable inside the search engine.
22
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