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Category: Data Analytics

  • Data Analytics

    A Comprehensive Guide to Microsoft Azure Databricks Ecosystem

    Azure Databricks is a powerful and efficient data analytics and data engineering platform built exclusively for Microsoft Azure cloud services. Delta Lake, MLflow, and Koalas are examples of well-known software developed by the company. These are some of the most popular open-source projects in data engineering, data science, and machine learning. Databricks creates web-based Spark […]
  • Data Analytics

    The Importance of Log files: Log Management, Monitoring, Security and More

    As a beginner, it is normal to use the print() function to print out the things in the console and check whether everything is working fine or debugging. This print() function might be good in the coding phase, but what happens when your application is live in for production environment? We need proper monitoring; the […]
  • Data Analytics

    12 Customizable Features of Microsoft Power BI

    Power BI is a comprehensive analytic platform that allows you to extract analytics and generate insights from your data. With Power BI, you can create highly interactive, engaging, and powerful reports, dashboards, or graphics from data in formats such as Excel files, SQL databases, BI warehouses, Cloud data, APIs, web pages, and more. Let’s understand […]
  • Data Analytics

    Pharma Analytics: Optimizing the Pharmaceutical Value Chain with Big Data Analytics

    The Pharmaceutical industry, traditionally, has been slow to adopt cutting-edge technologies. A complicated supply chain, a plethora of government compliances and regulations, tight profit margins, and burgeoning competition have been significant reasons hindering the switch to Pharma Analytics. But now, the pandemic has increased these obstacles and has more or less forced pharma companies to transform […]
  • Data Analytics

    Matomo Platform: A Quick Glance on the Google Analytics Alternative

    Matomo is a comprehensive open-source web analytics platform developed to empower enterprises with behavioral data on their website visitors. Reports are provided via a customizable dashboard in forms ranging from pie charts to bar charts. The data from these reports can be analyzed to make informed decisions on operations and strategy. Advanced web analytics provide companies […]
  • Data Analytics

    Power BI Dashboards: Eight Practices Every Enterprise Should Know

    Businesses require various reports to track their activity and analyze specific parts of their operations. Creating meaningful and actionable reports, on the other hand, is a challenging task. Power BI dashboards design considers UX and the data demands of users needing access while combining these needs with broader corporate goals. It’s not only about presenting […]
  • Data Analytics

    Big Data & 5G Technology – Hope or Hype?

    5G is the 5th generation mobile network and its implementation has been wildly anticipated as a game-changer for all things mobile-related. It is a new global wireless standard, 100 times faster than current 4G network capabilities. 5G technology is designed to increase the network speed and responsiveness of wireless networks. With 5G trending worldwide, let’s […]
  • Data Analytics

    Diving into Neo4j and Its Query Language - Cypher

    Neo4j is probably the most common graph database that you’re going to run into. Neo4j supports a query language called Cypher. Lets understand this a little better.
  • Data Analytics

    What and Why of Graph Databases

    The first thought that comes to your head when you hear graphs is the dreadful graph theory from mathematics which further translates to boring, complex, and so on… Luckily for us, we don’t need a lot of Graph theory to learn about Twitter’s database to connect 330 million monthly active users! But let’s have a look at an easy explanation for graphs.
  • Data Analytics

    Apache Nifi - Data Ingestion Tool

    Apache Nifi - is a data flow management system that comes along with a UI tool that will be easy to handle. It’s a data logistics platform that automates the transfer of data between different systems. Since it provides real-time control it is easy to manage the movement of data between any source and destination.