Analytics Insight – July 2019

executes analytics on various data streams in order to maintain
the privacy. Users can also avail the benefits of Shyft’s data
visualization solution to unveiling unexpected correlations
between datasets.

Google Cloud
Google Cloud Platform is a set of public cloud computing
services offered by tech-giant Google. It includes an array
of hosted services for computing, storage and application
development having the ability to run on Google hardware.
Also, its services can be accessed by software developers,
cloud administrators and other enterprise IT professionals over
the public internet.
Further, it offers numbers of big data management tools having
their own specialty.
BigQuery warehouses petabytes of data in an easily queried
format. Additionally, Cloud Dataflow analyzes ongoing data
streams and sets of historical data side by side.
Also, with Google Data Studio, clients can turn varied data into
custom graphics.

Sisense
Sisense is a platform which is obsessed with the success of its
customers as it fuels every decision the team makes. That is why
Sisense has embraced a people-first culture that encourages
everyone at the company to drive change on the customer’s
behalf.
The data analytics platform of Sisense swiftly processes data
with the assistance of its signature In-Chip Technology. The
Sisense interface enables client build, use and embed custom
dashboards and analytics apps. The recent merger of Sisense
with Periscope Data allows users to simultaneously groom data
repositories with SQL, Python, and R.

Collibra
Collibra is a cross-organizational data governance platform
that delivers openness and freedom. It breaks down traditional
data silos and opens up organizational data so all users
can find the data they need, collaborate on it, and easily
understand its meaning. Most of all, Collibra enables all data
citizens to trust the data. Trust in the data is what unlocks its full
potential to drive competitive advantage.
The platform is designed to accommodate needs of banking,
healthcare and other data-heavy fields, and enables
employees companywide to find a quality, relevant data. It’s
a versatile platform that features semantic search. Semantic
search can discover more relevant results by unravelling

contextual meanings and pronoun referents in search p es.

Talend

Talend is an open source software integration pl f m e ng

customers to effortlessly turn their data into b ss i ts.

The demand for Talend is growing rapidly, with ssiv ta

generation on a daily basis, in the market.

The set of three Talend’s big data integration pla ms i es

• i) free basic platform, ii) two paid subscriptio tfor nd
  iii) all rooted in open-source tools like Apache k.
  The paid platforms of Talend are wrapped w ore power
  and fortified by tech support. Both the platform e capable
  of cleaning and parsing data, deleting repe data and
  identify fraud automatically.

Tableau

Tableau is the most powerful, secure, and fl ble end-to-

end analytics platform for the data which ca andle from

connections to collaboration string. The platform tends to

elevate its users with the power of data. It is designed for the

individual but scaled for the enterprise. Tableau is the only

business intelligence platform that turns the data into insights

that drive action.

The Tableau platform is available on both on-premises or in

the Cloud. It enables users to discover correlations, trends and

unexpected interdependences between datasets. Additionally,

the Data Management feature enhances the platform and

allows for more granular data cataloging and the tracking of

data.

MapR

The MapR Data Platform delivers Dataware for AI and analytics.

Dataware effectively handles the diversity of data types, data

access, and ecosystem tools needed to manage data as an

enterprise resource regardless of the underlying infrastructure

or location.

With the MapR Data Platform, users can store, manage, process,

and analyze all data including files, tables, and streams from

operational, historical, and real-time data sources with mission-

critical reliability to meet production SLAs.

MapR offers a core set of data services to ensure exabyte

scale and high performance while providing unmatched

data protection, disaster recovery, security, and management

services. Open APIs and support for containerization ensure

broad distributed application access and seamless application

portability. The MapR Data Platform runs on commodity

hardware across on-premises, cloud, and edge deployments.

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THE 10 MOST PROMINENT ANALYTICS AND

DATA SCIENCE INSTITUTES IN 2019