10 Best Big Data Management Tools

The revenue from data management tools is
going to increase by 50% to around $187
billion by the year 2019.

It is essential to leverage data analytics tools
and techniques as the companies that are not
deploying it are falling behind in terms of
customer acquisition and competitive growth.

By using data management tools, you get to
utilize a lot of built in functions rather than having
to design the same from scratch.

Tools are classified by the stage of Big Data
analytics process:
1. ETL (data preparation)
2. Data analysis (actual number crunching)
3. Data visualization (transforming numbers to
actionable insights)

In Data analytics, ETL is a process in
which Data is collated from the source
system and transferred to a Data
warehouse. It is the primary step in the
Data analytics chain. Following are the
top tools for ETL.

IBM Infosphere Information Server, with its massive parallel processing
capabilities can deliver a hugely scalable and flexible platform to
process multiple varieties of Data volumes. Not only it helps to collect
the data but also has the ability to check the data quality.

PowerCenter is an enterprise product from Informatica which provides a
platform for Data integration. It is a fully scalable and high-performance
product which can simplify the process of data marts and data
warehouses.

The amazing ability of Big Data to
dramatically enhance the customer
experience and transform business
models can only be realized by data
analytics. For a company to use its
data to the best advantage, it has to
convert the data into knowledge.
Following are the popular data
analytics tools you can try.

SAS Analytics Pro is a software suite that provides both data mining and
data analytics capabilities, including data access, transformation and
reporting. It features complex statistical analysis and reporting capabilities,
and the techniques offered are frequently updated to reflect current
methodologies.

Pentaho is a simple yet powerful data analytics suite that helps companies
save a lot of time in designing and deploying big data analytics solutions.
Services across the spectrum including financial, retail and healthcare use
Pentaho’s analytics tool.

Skytree Server is an AI-based machine learning program which is intended
to be a replacement for SQL databases. By taking unstructured sets of data
and crunching it faster than any other traditional method, it has become
quite popular among businesses.

By placing the crunched data in a
visual context, it becomes much easier
for people to understand. It is the final
step in the Data analytics ladder where
the extracted information is
communicated clearly and efficiently.
Some of the popular and best tools
used for Data visualization are:

Tableau helps businesses to create interactive and dynamic data
visualization dashboards. With its easy feature to filter out uninteresting data
topics, a user can save plenty of time and resources. Tableau helps you to
understand and comprehend data in a graphical format within a span of
few minutes

D3 is a JavaScript library which helps in producing dynamic and interactive
data visualizations in web browsers. D3 or Data-Driven Documents operates
with the help of the widely used CSS and HTML5 standards. By its efficient
manipulation of the document based on data, D3 helps to resolve complex
problems.

Highcharts is a very popular Data visualization tool that’s being used by big
brands like BBC, Twitter, IBM, Cisco, and Facebook etc. It supports various
types of charts like spline, areaspline, bar, pie, column and scatter chart
and works perfectly well with environments that do not support Flash and
has robust HTML5 compatibility.

Microsoft’s Power BI can connect with organization-wide data sources and
ensure simplified data preparation. It can carry out custom analytics and
deliver rich, insightful, and stunning visual reports and dashboards. You can
opt for the on-premise edition or the cloud version, depending on your
specific business needs.

QlikView is a neat and zero clutter interface that provides rich capabilities
not only in data visualization but also in BI and analytics. It also integrates
well with its compatriot and Qliksense, for data discovery and data
preparation. You can utilize its strong community support to improve the
level and visual appeal of charting and visualizations.

With the quantity of data available to businesses on the rise,
managing this data is becoming a challenge to the companies.
Choosing the right tools to take care of different stages in data
management can help make things easier.

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sales@promptcloud.com

10 Best Big Data Management Tools

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