This short course is designed to ease your understanding of Hadoop and Java and a way into developing with Hadoop. A series of hands-on tutorials will help you to use the Java language in conjunction with Hortonworks sandbox. This short course is based on a series of tutorials by Apache. 

Step 1: Explore the Core Concepts of Apache Hadoop

• What is MapReduce?
• The MapReduce Concepts and Terminology
• MapReduce: The Mapper
• MapReduce: The Reducer

Step 2: Write a MapReduce program

• Examine The MapReduce Example
• Mapper reading data from HDFS
• Streaming API
• Repositories
• Source & Javadoc
• SBT Setup
• Gradle Setup

Step 3: Hive and Pig: Motivation

Visualizing data and sharing it among the consumers inside your organization has more value than having data in database servers. Although the availability of data is important, to be able to visualize all aspects of the data serves the bottom line of an organization is more important.

PowerBI makes it possible to not only visualize data but helps you make quick decisions. PowerBI allows you to connect to data from a wide variety of data sources, both traditional database servers but also from online data; it creates a model and then you start exploring data in a variety of ways, producing a wide array of graphs and presentation which you can publish, share or collaborate.

PowerBI targets naïve, intermediate and advanced users. PowerBI has capabilities built to accommodate all experience levels.

This course however, is aimed at beginner users with limited data experience enabling you to adhoc-visualize data and generate reports. Specifically, you will have an introduction to PowerBI Desktop, one of the PowerBI products, and see how to access data and visualize it from a couple of sources. Although the course is partly hands-on, it is meant to provide an introduction to the topic.

Introduction to Data Analysis sets a foundation for those interested in pursuing more advanced topics in data analysis.

Becoming a data analyst requires proficiency in several areas:

• Data wrangling
• Programming
• Statistical methods
• Machine learning
• Data visualization

There is truly a vast amount of open data available to anyone who knows where to find it, but data is often found in a form that does not lend itself to analysis.

Data wrangling is the use of tools and techniques to transform unstructured data into structured data from which descriptive, predictive, and prescriptive analytics can be derived. Business leaders depend on high-quality, real-time analytics to make informed business decisions. This "business intelligence" enables a company to differentiate itself from its competition, but high-quality, real-time analytics is the end game. One has to walk before they can run. Data analysts often point out that roughly 70% of their work involves data wrangling.

This course sets you on a successful path in data analysis by building a solid foundation. A course will follow that introduces learners to machine learning via Microsoft Azure Machine Learning Studio.

Recommended preparation: Algebra and basic statistics. No programming experience is required - the necessary R programming will be learned in the context of working with data sets.

Databases, organized repositories of information, have become indispensable in today's world. In this introductory course you will learn about relational databases and the basics of Structured Query Language (SQL) including sorting; grouping result sets; using DDL, DML, DCL, and TCL. All SQL statements will initially be written for one table. Most practical, modern and relational databases will include a large number of tables and SQL queries have to access information from several tables. This course will introduce you to querying more than one table. With this skill you will be able to query two or more tables in a database.

This is a hands-on course which will take you from installing SQL Server 2016 to learning the ins and outs of SQL Server Management Studio and of course a full dose of SQL. The course covers most of the requirements to take Microsoft's certification (98-364), the Microsoft Technology Associate. During each meeting, you will be assessed for your knowledge, competency and proficiency in SQL.

The Oracle Database 12c R2: Administration Workshop Ed 3 course is designed to provide you with a firm foundation in administration of an Oracle Database. In this hands-on course you will gain a conceptual understanding of Oracle Database architecture and learn how to manage an Oracle Database in an effective and efficient manner. Learn to:

• Manage an Oracle Database instance

• Configure the Oracle Network environment

• Create and manage storage structures

• Manage and move data • Create and manage users

• Monitor the database and manage performance

• Create and manage Database as a Cloud Service database deployments

Benefits to you: You will benefit from this course as you learn detailed information on the architecture of an Oracle Database instance and database, enabling you to effectively manage your database resources. You learn how to create database storage structures appropriate for the business applications supported by your database. In addition you learn how to create users and administer database security to meet your business requirements. Basic information on backup and recovery techniques is presented in this course. To provide an acceptable response time to users and manage resources effectively, you learn how to monitor your database and manage performance.