Data analysts and business intelligence specialists have been at the heart of new trends driving business growth over the past decade, including log file and social media analytics. However, Big Data heretofore has been beyond the reach of analysts because traditional tools like relational databases don’t scale, and scalable systems like Apache Hadoop have historically required Java expertise.
Today, the rise of new ecosystem tools is rapidly broadening the community using Hadoop and Big Data. Projects like Cloudera Impala and Apache Hive and Apache Pig have for the first time made Big Data accessible to those with traditional analytics backgrounds. With the launch of Data Analyst Training, Cloudera is helping the world’s analysts prove there’s nothing traditional about data analytics and BI on Hadoop.
The Democratization of Big Data
Hadoop in production can disrupt the data center for the better, but on its own can’t necessarily transform the data into useful business intelligence. As enterprises advance in their Hadoop use cases, they’re placing more emphasis on the analyst role to deliver insights that target core business goals like market segmentation, profit maximization, and customer loyalty.
As MapReduce code becomes less essential, even for highly complex Hadoop queries, BI and analysis on Hadoop inspire a whole new set of questions about Big Data’s potential value to the enterprise:
Q: What if you could run exploratory queries on all your data before committing to specific reports?
A: You could interactively refine or expand your queries and rapidly drive towards truly valuable insights (as opposed to only asking challenging questions in emergency situations or as time permits). Invariably, making the valuable routine leads to competitive advantage.
Q: What if you could run analyses on a much larger portion of your total data?
A: You could avoid sampling error and conduct analyses on the right data given a specific question, whether querying the newest unstructured data or old data that would otherwise be kept in archive.
Q: What if you could analyze the data where they live rather than choosing between silos?
A: You could eliminate the cost of moving data from one specialized environment to another, increase the timeliness of SLAs, and enable new analyses that were previously impossible due to the limited access to particular data sets.
Q: What if you could run familiar business tools on top of petabyte-scale data in real time?
A: You could more closely and regularly track the data that are meaningful to your organization and identify new profit-maximizing business opportunities, essentially monetizing data access.
Skills to Pay the Bills
Cloudera’s new Data Analyst training focuses on the technical skills analysts need to deliver value from Big Data in Hadoop using their existing expertise. It is the only course available in the market that supports the end-to-end fundamentals of managing and manipulating Big Data with Hadoop using SQL and familiar scripting languages, even without any prior knowledge of Hadoop or Java.
Hands-on labs guide participants through real-world scenarios that assure mastery of Impala, Hive, and Pig. Most importantly, the training equips participants to use the right tools for the job at hand, whether getting data into and out of systems, performing joins and transformations, systematizing complex queries for reporting, or interacting with massive data sets in real time.
Attend the Webinar and Get Trained
We’re hosting a webinar on Cloudera Data Analyst Training on Thursday, July 18, at 10am PT/1pm ET. You’ll hear more about the course’s objectives, outline, prerequisites, and technical benefits, including a portion of the full training, plus Q&A with the lead curriculum developer. Register now!
You can also enroll in Cloudera Data Analyst Training by visiting Cloudera University. Public classes start in July and are currently scheduled in Washington, D.C., Redwood City, Columbia, Herndon, Austin, Boston, Seattle, Atlanta, London, and New York.
Private training for your team is also available at your location and according to your schedule, so contact us for more information.