5 Big Data Analytics tools [2020]

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• Session 1

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• Data is driving 2020 and will continue to do so
  in the times to come. You will see the growth in
  the use of data, and thereby there is going to be
  a demand for big data experts who can analyze
  this data and derive useful solutions. Whether we
  use mobile phones, laptops, or even the
  infotainment systems, everything is driven data.
  With the burgeoning increase in this, there is
  also a steady rise in the demand for
  professionals who have big data analytics
  certification. This skilled workforce is actually
  responsible for deriving useful information from
  the scattered data.
• So, how do big data experts work? Well, they have
  a set of tools and software that will eventually
  help them aptly analyze and derive useful
  information from it. Well, this information is
  useful for companies. In this blog, we will be
  unveiling five such useful big analytics tools
  that you must learn as a part of your big data
  online training, but before that, let's have a
  quick look at some statistics.

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• Around 1.2 trillion searches are made every year
  on Google.
• Facebook users and send more than 31 million
  messages
• American companies spent more than 57 billion in
  2017 for gathering data.
• In 2012, Gartner forecasted that big data would
  give rise to 6 million jobs in 2015, and practice
  these numbers outgrew what Gartner had predicted.
• 5 exabytes of information was created from the
  start till 2003, and now this much data is
  created in 2 days globally.
• With these glimmering figures, we can say that
  data is surely an obsession that is gripping
  every company, and at the same time, it is also
  paving the way for new developments. But this
  data is scattered, and for it to be useful, it is
  important to filter and scan it. This is where
  Big Data comes into the picture. Big Data
  Analytics is a hot topic of discussion for many,
  and several tools are simplifying the task for
  big data experts.

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Big Data Analytics Tools that you need to learn
in 2020

• 1. Xplenty One of the first tools that you need
  to learn in Xplenty. This provides a solution
  based on the cloud. This is an easy to use
  platform which allows easy cleansing of data.
  While doing so, it adheres to stringent
  compliance policies.
• Key features
• 1. It is a code-free data transforming and
  cleaning tool
• 2. Flexibility in sending data to database,
  salesforce and data warehouse
• 3. You can easily pull data from any source
• 4. Higher security. The encryption offered by
  Xplenty is because it matches strict compliance
  policies
• 5. Customer-centric with round the clock customer
  support

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• 2. Skytree- If you want a tool that offers
  accurate results, then this is the right tool for
  you. It provides accurate machine learning
  models. Moreover, it is easy to use, then you
  must consider using Skytree. This
• Key features
• 1. Offers scalable algorithm
• 2. AI for data scientists
• 3. It enables the data scientists to envisage and
  what works behind the scene of every ML decision
• 4. It is easy to adopt GUI
• 5. Model interpretability
• 6. GUI access
• 7. Written in Java

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• 3. Splice Machine- It is also a big data
  analytical tool. The tool is portable and can be
  used across public clouds like Azure, Google,
  AWS.
• Key features
• 1. Highly scalable
• 2. This is an automated tool which can quickly
  evaluate every query
• 3. Lesser risk
• 4. Faster deployment
• 5. Ensures faster determining of data and deploys
  of advanced machine learning models

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• 4. Elasticsearch- This tool is used for solving
  a number of use cases, this works on JSON-based
  big data search engines. It offers maximum
  reliability, horizontal scalability, and
  reliability.
• Key features
• 1. It combines the different type of searches
• 2. It makes use of APIs and JSON
• 3. It is workable with different programming
  languages like Python, NET, Java, and Groovy
• 4. It offers better security, monitoring, and
  reporting
• 5. It also offers machine learning features
• 6. You can do a real-time search using
  Elasticsearch-Hadoop

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• 5. IBM SPSS Modeler- This is yet another great
  platform which has a wide range of algorithm and
  analysis tools to ensure faster and accurate
  analytics.
• Key features
• 1. Faster and better analysis of structured and
  unstructured data
• 2. Makes use of the intuitive interface
• 3. You have the option of choosing between
  on-premises, hybrid and cloud deployment option
• 4. This tool can easily choose the best algorithm

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• All these big data analytics tools are a must for
  every big data analytics learner. Any individual
  who wishes to become a big data analytics expert
  must undergo big data analytics training where
  they learn about these tools. Several other tools
  are there in the market, and a good big data
  certification program will introduce you to the
  same.

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Conclusion

• Global Tech Council is offering the online big
  data analytics certification program. This is a
  big data analytics online training program that
  will help you get acquainted with all the
  necessary tools and become an expert in this
  field. So grab this opportunity today and become
  a big data analytics expert.

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