6 New Ways to Grow Your Big Data Management Skills
Informatica World is a unique place to gain knowledge around all things data. In my recent post, I shared key reasons why I’m looking forward to Informatica World 2017. One of these reasons is the chance to learn new Big Data Management skills.
Increasing your Big Data Management skills can help your company get ahead, as well as make a crucial difference in your personal career options. The new skills you can learn at the event will equip you to achieve faster, more flexible, and more repeatable data integration, governance and security.
With that in mind, here are some things you can do at Informatica World 2017 to increase your Big Data Management expertise.
1) Get an Industry Perspective on Data Integration and Big Data
This year, Informatica World 2017 offers an Industry Perspective session on modern Data Integration and Big Data. In this session, you’ll learn how to quickly and systematically turn big data into trustworthy insights in the digital era. You’ll hear insights from TDWI Research. You’ll also hear from partners and customers on how they use state-of-the-art data management to deliver accurate insights across their organization. This session is a perfect kick off to our Big Data Certification program.
2) Learn how an Intelligent Data Lake enables Self-service Big Data Management
With the increase of Big Data Analytics initiatives, IT organizations are becoming backlogged. As new requests come in from business users, analysts and data scientists need new ways to discover, prepare, transform data and share relevant data and actionable insights. In session DI&BD301, “Self-service Big Data Discovery and Preparation made easy with Intelligent Data Lake,” you’ll take a deep dive into Informatica’s Intelligent Data Lake. In this hands-on session, you learn specific ways to use leverage semantic search, lineage and relationships for intelligent data discovery. You’ll also see how self-service big data preparation can preserve your your ability to govern your data pipeline.
3) Learn how an Enterprise Information Catalog can Empower Data Governance
Data is growing too fast for manual stewardship. To scale in step with enterprise data growth, you need machine-learning. You need a discovery engine that automatically scans your enterprise for new and altered data sources. In session DI&BD303.01, “How to use Enterprise Information Catalog for Analytics and data governance,” you’ll learn how an Enterprise Information Catalog can enables both business and IT to discover data assets, measure their data quality, and assess relationships between them. You’ll learn new Big Data Management skills – specifically, how to successfully manage data assets with a catalog that manages metadata generated by all types of sources.
4) Learn how Massive Organizations Achieve Data Preparation Quickly
Many organizations have begun to modernize their information and analytics architectures by using Hadoop. This allows them to provide analytics to a new range of users across the enterprise. In session DI&BD104, “Best Practices For Quickly Preparing Big Data with Kaiser and Dell”, you’ll learn how Dell and Kaiser Permanente use automation, collaboration and self-service to meet the big data analytics needs of their users. You’ll learn how both companies apply existing skills and processes, in order to parse new sources of data and meet new demands from the business.
5) Learn to Deploy Self-Service Options on Hadoop
Today’s Hadoop users often enjoy extended analytical capabilities. However, unless they have robust data lake management practices and technologies, business analysts can still struggle to quickly and flexibly find, cleanse, master, prepare, govern and secure their data. In session DI&BD107, “Empowering The Business using Self-Service with Bank of New Zealand,” you’ll learn specific ways to modernize data delivery. Specifically, you’ll learn to use data lake management technologies and practices to drive increasingly competitive analytics. You’ll see how agile and systematic business practices help maximize success by increasing data delivery speed and data quality.
6) Learn How Implement Spark for Batch and Real time processing
The Apache Spark 2.x line is now available, with updates to API usability, as well as performance improvements, structured streaming and operational improvements. In session DI&BD305.01, “How to use Spark 2.x for Big data batch and real time processing”, you’ll learn how to build an end-to-end data integration and management solution. You’ll learn how to solve enterprise needs by processing data both in batch and real-time.
Grow and Show Your Big Data Management Skills With Certification
Well, there you have it: Six new ways to grow your own Big Data Management skills, just by joining us at Informatica World 2017. And there are SO many more – that’s just a snapshot of what is available. So if gaining these skills is a personal goal of yours, I invite you to register today! In fact, if you sign up before April 21, you’ll have a chance to get Big Data Certified and save 40%.