Big Data Deep Dive: The Business Intelligence Edition

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Big Data Deep Dive: The Business Intelligence Edition

Whether you're a back-end developer, a data science aficionado, or a simplistic consumer, BI is impacting you. Check out this deep dive to learn everything you need to know about business intelligence.

· Big Data Zone ·
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If you're in the world of big data at all, you've probably heard a lot of buzz about business intelligence (BI). According to OLAP, "business intelligence (BI) refers to technologies, applications, and practices for the collection, integration, analysis, and presentation of business information." It's a data-driven way to make insightful decisions. And whether you're a back-end developer, a data science aficionado, or a simplistic consumer, BI is impacting you

Check out this deep dive to learn everything you need to know about business intelligence.

Top 5 BI Articles on DZone

Check out some of the top BI-related articles on DZone. All except one of these articles were published in 2017 because business intelligence is just that fresh of a topic! These articles are best read in order, so follow along and enhance your business intelligence... intelligence!

  1. What the Heck Is Business Intelligence? by Simon Foster. Yeah, what the heck is it?! Before you dive into trying to understand it deeply, check out this brief article for an explanation of what we're dealing with here.
  2. The Difference Between Business Intelligence and Business Analytics by Shelby Blitz. Now that you know what BI is, you probably see a lot of overlap between business intelligence and business analytics. But never fear — Shelby's here! She'll help you to figure out which technologies, tools, and approaches you should invest in to get the insights you need.
  3. 16 Free and Open-Source Business Intelligence Tools by Samuel Scott. Wait... technologies? Tools? Approaches?! How much money is this going to cost, anyway?! Good news: there are tons of ways to conduct business intelligence using open-source resources. 

  4. Top 5 Business Intelligence Mistakes by Blake S. Not so fast, though... before you speed away on the BI train, make sure to avoid making these critical mistakes. 

  5. 4 Business Intelligence Users You'll Encounter at Any Company by Shelby Blitz (she's back again!). Let's end with a bit of a fun article. There's the data analyst, the executive, the business user, and the IT team member. Which one are you?

PS: Are you interested in contributing to DZone? Check out our brand new Bounty Board, where you can apply for specific writing prompts and win prizes! 

BI From Beyond

Let's journey outside of DZone and check out some recent news, conferences, and more that should be of interest to BI newbies and experts alike.

Dive Deeper Into Business Intelligence

DZone has Guides and Refcardz on pretty much every tech-related topic, but if you're specifically interested in Kafka, these will appeal the most to you. 

  1. The DZone Guide to Big Data: Data Science and Advanced Analytics. Explore the critical capabilities in next-generation self-service data preparation tools and dive deep into applications and languages affiliated with big data.

  2. SQL Syntax for Apache Drill: Using SQL for the SQL-on-Everything Engine. In this DZone Refcard, discover the benefits of data agility and gain faster insights into BI and analytics through advanced SQL queries on massive datasets. 

Jobs for the BI Expert

Below are a few jobs that may pique your interest if you're a Kafka aficionado. Check them out and apply today!

Data Analyst
Location: Anywhere!
Experience: A Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience; experience developing operational reports and data flows for customers; bonus points if you have experience with data streaming technologies.

Machine Learning Developer
JP Morgan
Location: Anywhere! 
Experience: Big data and big data toolset experience; experience working with large datasets to fuel machine learning algorithms. 

That's all for this month's Big Data post! What would you like to learn about next time? Let us know in the comments!

big data ,business intelligence ,data analytics

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