Technology

Overview of Business Intelligence Tools and their Functions

Mohit Chaudhary
July 21, 2020
8 min read
Overview of Business Intelligence Tools and their Functions

The booming business market calls for smart decisions to keep in check the level of competition by making smart business decisions. Business Intelligence allows you to do the same. It is the process of gathering all the data that an organization garners from all its activities. After all the data is gathered, it is then […]

The booming business market calls for smart decisions to keep in check the level of competition by making smart business decisions. Business Intelligence allows you to do the same. It is the process of gathering all the data that an organization garners from all its activities. After all the data is gathered, it is then turned into visual data for better analysis and finally, this analysis provides the business with actionable business insights that eventually allow a representative with smarter business development decisions for better performance of the business altogether. ‘What is the need for business intelligence?’ one might ask, considering the conventional way of practicing business activities and exercising business decisions. Well, in this constantly changing environment where everything is going digitized, every organization be it an established player or a budding one, should buck up and accept the challenge of the current scenario. To perform BI activities every organization looks for professionals who’ve mastered the knowledge of Business Intelligence Tools and have faced the challenges in real-time by learning about how to tackle them. Let’s take a look at some of these tools so that we can understand what they are and why we need professionals in this particular field.

  • Tableau: It’s a BI tool that allows a professional to distinguish complex trend patterns so that they can convert them into innovative business insights that’ll help their clients to formulate adequate decisions. Creating dashboards in Tableau is not much of a technical approach as it is available on almost all devices to connect with more and more users. The dashboards can be implemented by simply using drag-and-drop fields.

Some of the features that make it distinguishable from others are:

  1. It supports apt visualization:

Tableau allows professionals to select data and switch between visualizations so that they can come up with the best visual approach for the data.

  1. Tableau gives users different ways to answer questions when they’re going through the data visualizations. This enhances the process of discovering particular data.
  2. Tableau offers a variety of implementing and consulting services for enterprise-level deployment.
  3. Tableau offers its end-users to create customized formulas that are not available on most of the tools.
  4. Tableau allows the number of native connectors (individuals) to easily pull, cleanse, and correlate data from any source they can score without having to create any custom code.
  • Informatica: Informatica is a data integration tool that is based on the Extract, Transform, and Load (ETL) model, which means it covers the extraction of data from different sources and then transforms it into a structure that can be used for report analysis.

Some of the features that make it a highly useful tool are:

  1. It gathers all the data from all the possible sources a business is associated with and then loads it into the targeted sources where the data is supposed to be.
  2. Informatica’s ETL structure helps it to stand as a tool that is capable of handling a huge amount of data.
  3. Along with handling a huge quantity of data, Informatica also provides services like data integration and software for a variety of industries like telecommunication, healthcare, finance, and insurance.
  4. Even though it has a high-performance nature, Informatica is a simple tool when it comes to developing, maintaining, and administering it.

These features make Informatica more beneficial than the conventional ETL process. 

  • Microsoft Business Intelligence (MSBI): Microsoft Business Intelligence is one of the top-rated business intelligence and data mining tools. Below are some features that make it distinguishable in the market.
  1. Microsoft Business Intelligence allows its user to create interactive dashboards and scoreboards so that the visual output is having more of a creative touch than a dry one.
  2. Microsoft Business Intelligence as a tool has a well-integrated structure that allows it to create outputs that are both snappy and exact.
  3. It promotes optimized solutions for business intelligence queries.
  4. Uses visual studio with structure query language or SQL servers. This in turn allows businesses to access the most accurate information so that they can come up with improved superior decisions every time they use it.

As a BI tool, Microsoft Business Intelligence is categorized into three services, namely:

  1. SQL Server Integrated Services (SSIS)

As an SSIS Microsoft business intelligence is a platform for creating high-end performances and workflow solutions.

2. SQL Server Analysis Services (SSAS)

As an SSAS Microsoft business intelligence is a platform for converting dimensional data into a multi-dimensional data model.

3. SQL Server Reporting Services (SSRS)

Finally, as an SSRS, Microsoft Business Intelligence acts as an enterprise reporting platform that supports both dimensional and multi-dimensional data. As of reporting, it supports both traditional and interactive data that are delivered over the web.

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Technology

Top 15 Big Data Analytics Tools

Mohit Chaudhary
July 14, 2020
8 min read
Top 15 Big Data Analytics Tools

Big Data analytic tools have outgrown their conventional purpose and are satisfying a major portion of web development including spheres like Data mining, data analytics, and data visualization. The role of big data analytics in Web Development has become so prominent that its contribution helped all these spheres in using different tools according to their […]

Big Data analytic tools have outgrown their conventional purpose and are satisfying a major portion of web development including spheres like Data mining, data analytics, and data visualization. The role of big data analytics in Web Development has become so prominent that its contribution helped all these spheres in using different tools according to their needs.

Let’s take a look at some of these tools:

  • Apache Hadoop:

It’s a cumulative package of open-source software utilities that works using a library framework to proceed with the data processing. It works as a distributed data processing environment. Apache Hadoop is written in Java. Speaking of its popularity in the corporate sector, the list of companies using Apache Hadoop has big players like:

  1. Horton works
  2. Cloudera
  3. MAPR
  4. Microsoft
  5. IBM
  6. Intel
  • Mongo DB:

Mongo DB is a cross-platform, no SQL document database for reviewing the data using documents like JSON. It was developed in 2009 and is written in the languages C++, Go, Java, and Python. Mongo DB enjoys its fair share o fame among big conglomerates as the simplified database it is. Some of the companies that use Mongo DB are:

  1. Microsoft Axel
  2. Microsoft SQL Server
  3. My SQL
  4. Mongo DB (the company itself)
  • Rainstar:

It is a database management system that uses detection duplication techniques for organizing to process a huge amount of data for future reference. The snappy framework was the core benefit of its development. This software is written in Java and some of the companies that find Rainstar’s framework a befitting one are:

  1. Barclays
  2. Credit Suisse

Splunk Hunk: Splunk is a Software Company that developed Hunk as a tool that allows its users to access all the data in Hadoop clusters using vertical indices. For allowing its users to access and process the data, Hunk provides them with the use of Splunk’s search language. This language helps the users to report and access a large amount of data from Hadoop and SQL software.

BIG DATA TOOLS USED IN DATA MINING:

Some of the Best Big Data Analytic Tools used in Data Mining are:

  • Presto:

Presto is an open-source distributed SQL query system that is designed to run analytical queries regarding databases from various applications like Hadoop, AWS, Cassandra, and Kafka. The databases processed can range from gigabytes to petabytes. With its analytical approach towards all the queries, it makes sure that the data analytics is done on its basis work accurately throughout an organization. Written in Java, this tool is used by companies like:

  1. Facebook
  2. Repro
  3. Checkr
  4. Netflix
  5. Air BnB
  • Rapid miner:

It’s a tool that has a stern graphical interface that allows its end-users to create and deliver maintained analytical files. This helps in providing snappy workflows in development. It provides the users with scripting levels to support languages like Java and Python. This application is written in Java and has a client pallet consisting of companies like:

  1. Vivint Smarthome
  2. Boston Consultancy Group
  3. Infocus
  4. Slalom
  5. Dominos
  • Elasticsearch:

Elasticsearch is a high-performing search engine that is also capable of running a webpage with a proper HTTP search language. As an underlying Technology, it powers the applications that use complex search techniques and requirements to run. Using Elasticsearch is a smart proposition if yours is a company that uses such applications. Some of the companies, who use this software, are:

  1. Netflix
  2. Accenture
  3. Stack Overflow
  4. Medium
  5. LinkedIn

BIG DATA TOOLS IN DATA ANALYTICS

  • Apache Kafka:

It’s a distributed streaming system that has all the capabilities of an ideal streaming system, i.e., publish, subscribe and consume. This software is written in Java and there are many players in the market who make use of Kafka on a regular basis. Some of these companies are:

  1. Netflix
  2. Spotify
  3. Yahoo
  • Splunk:

Splunk is a software developed by a company of the same name. It’s the same company that developed the tool, Hunk. Splunk is used for searching, capturing, and indexing the big machine-generated big data analytics and representing them in web-friendly graphs, pies, and dashboards.  It’s used for app development, web analytics, security, and compliance. Some of the big firms using this software are:

  1. QRadar
  2. QLabs
  3. Spunk
  4. Trustwave
  • KNIME:

It is software that works on a selective approach toward the execution of mostly all analytical steps and further inspects the results and models using creative widgets. These results and models allow the user to visually create data flows. There are companies like

  1. Harnham
  2. Tyler Technologies

These companies use KNIME for data analysis and visual representation of all their data.

  • Apache Spark: It is a platform that has in-memory computing capabilities to deliver speed and generalize the computing software model so as to support a wide spectrum of applications written in languages, Java, Scala, and Python. It’s an online distribution system that provides access to data through the cluster and processes them parallelly.

Companies using Apache Spark are:

  1. Amazon
  2. Hortonworks
  3. Oracle
  4. Verizon Wireless
  5. Cisco
  • R Programming Language:

Is a software environment that is designed for statistical analysis of graphs of data. It consists of machine learning algorithms, line regression, and statistical inference to create statistical software in data analytics. Companies like Barclays, Bank of America, and American Express use R programming language for their data analytics needs.

  • Blockchain:

Blockchain is software originally developed with the intention to timestamp digital documents so that it’s not possible to backdate or tamper with them. It’s used for storing a large amount of data as it has a secure framework.

  • Tableau:

Tableau lets its user distinguish the complex digital patterns of the data and visually represents the data for the users. It’s written in Java, C++, Python, and C. Some of the companies that use Tableau are:

  1. Oracle Hyperion
  2. Cognos IT services
  3. Alik Q
  • Plotly:

Helps create the graphs in a more efficient way. Along with this it also provides scientific graphic libraries for Python, R, MATLAB, Julia, Ardenio, and REST. Written in JavaScript it serves companies like:

  1. Paladins
  2. Bit Bank.

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App Development Services

TOP 10 Web Application Development Trends to Look in 2023

Mohit Chaudhary
June 18, 2020
8 min read
TOP 10 Web Application Development Trends to Look in 2023

Web development is the process of adding up to the traditional way of using the internet. As we all know, the Internet is one of the greatest technologies ever created, and its use of it has been conventional and stagnant for a long period. Web development is a systematic approach devised to enhance the traditional […]

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If we consider today’s scenario, using the internet has many purposes like interacting with other people translating a particular dialogue, catching a Pokemon in augmented reality, or playing your favorite game in virtual reality. Everything is gradually evolving to become susceptive to change and contribute to digitization altogether. These purposes are only fulfilled because of the progress of web development. If we recall the olden days when the internet was a privilege, limited to some, we will understand how far we’ve come. From sharing news, we’re now talking to chatbots just to feel connected in some way. Let’s talk about some trending web development applications at present that are set to challenge the limitations we’re facing today and change the way we will look at things in the future:

  • Progressive Web Applications (PWA): Progressive web applications are nothing but websites that tend to function like typical mobile applications. PWAs may sound intimidating but they require a stern integration of multiple technologies like application shell architecture for faster loading time, Transport Level Security (TLS) to enhance privacy and data integrity, service worker for offline support, and web app manifest file for home screen access. It won’t be wrong to say that PWAs have significant leverage over traditional web apps. But this analogy shows no decline on the part of the usage of traditional apps, on the contrary, it shows the receptive nature of the users and how they’re adapting themselves to the pace of the world.
  • Push Technology: Push technology: Push technology or server push has gifted mankind ‘push notifications’ in the form of a one-stop solution for customer satisfaction using an effective communication medium. A medium that serves additional information about a web page or app. This transaction is initiated by the central server or the publisher and is accepted by the client or the end user. For example, if you’ve permitted push notifications from a web application of a fashion brand, you’ll receive notifications like nearby stores that are providing a huge discount.
  • Cyber-security: You must have gotten a rough idea about this particular application of web development. Cyber-security is a set of technologies that ensure the protection of your software and electronic data from external malicious attacks in the form of network breaches.
  • Augmented Reality (AR): Augmented reality is a technology that allows the end-user to enjoy an interactive experience of the real world. Augmented Reality has many applications including military training and robotics. There are many popular games like Pokemon Go and Jurassic World Alive that have embraced AR technology to entertain more and more users.
  • Virtual Reality (VR): Virtual reality is one of the most interesting additions to web development. It is a technology that allows the end-user to experience a simulated reality that can be similar to the real world or completely different from it. Watching a movie in VR makes you feel like you’re in the scene itself. Not only that but VR can be used for educational and gaming purposes as well.
  • Browser Extensions: Browser extensions are a type of plug-in technology that helps enhance the functionality of your web browser, adding features like blocking advertisements and proofreading your text.
  • Motion User Interface: Motion design allows its users to create interactive user interfaces with the help of adequate animations that increase the viewership of the website.
  • Chatbots: Iterating with people to have a sense of human connection has been one of the most recurring needs people want with web development. That’s what gave rise to the development of applications like chatbots. These are computerized systems that are programmed to answer some of the frequently asked questions. These are very helpful for business websites.
  • Web assembly: It’s a type of code that allows a particular website or a program to boost its booting time. WebAssembly has many uses like most native home screen apps including games too. Faster loading time is what makes it one of the trending applications for 2021 and beyond.
  • Voice Search Optimizations (VEO): It’s a technology that makes the most relevant content of a webpage the foremost answer to the voice command of the user. Many companies like Google are following this technology trend. VEO is gaining a significant amount of popularity as a web application development.

These are some of the few web application development trends that are likely to grow, even in the coming year and the future as well.

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