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.
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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!
- 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.
- 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.
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.
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.
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.
TDWI Orlando Conference: The Leading Event for Analytics, Big Data, and Data Management Training. From December 3-8, 2017, you can join other business intelligence-lovers at the Royal Pacific Resort to learn about transforming your business with analytics.
Top Business Intelligence Trends to Watch Out for in 2018 by Cedric Joshua Martinez at D&V Phillippines. It's late 2017, so it's time to start looking out for those "trends of the year" articles! In this one, you'll learn about up-and-coming trends like self-service natural language generation.
The secret of successful business is data-driven decision making by Jenn Livingston at CIO.com. Check out five ways to ensure that you are making the right business decisions that will lead your business to success.
Dive Deeper Into Business Intelligence
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.
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!
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.
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!
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