| Course or Certification Name | Category | Location | Mode of learning |
|---|---|---|---|
| All in One Java Development Suite | Web Technologies | 24/7 Anywhere | Online self study |
| Oracle Certified Professional, Java SE 7 Programmer | 24/7 Anywhere | Online self study | |
| Testing with Junit | Trending Software Testing Tools | 24/7 Anywhere | Online self study |
| Cognixia Big Data and Hadoop Developer | Big Data | Online Classroom | |
| Vskills Certified Software Security Professional | Information Security | 24/7 Anywhere | Online self study |
| Automation Testing Engineer Masters Program | Selenium | Online Classroom | |
| Apache Hadoop and MapReduce Essentials | Big Data | 24/7 Anywhere | Online self study |
| Apache HBase Fundamentals Certification | Hadoop Administration | 24/7 Anywhere | Online self study |
| Test 22 TITLE3 | Classroom | ||
| Cloudera Hadoop Developer | Big Data | Classroom | |
| Big Data Hadoop Expert Program | Big Data | 24/7 Anywhere | Online self study |
| Hadoop Administrator | Big Data | 24/7 Anywhere | Online self study |
| Apache Kafka | Big Data | 24/7 Anywhere | Online self study |
| NoSQL | NO SQL Databases | 24/7 Anywhere | Online self study |
| Apache Spark Fundamentals | Big Data | 24/7 Anywhere | Online self study |
Java Development Suite is an all inclusive training program that entails complete introduction to Java including object oriented programming and many core Java features. Java programming is popular because of its extensibility and versatility, therefore employers across the globe prefer competent Java professionals.
Java is a general-purpose object-oriented programming language which is often used due to its extensibility and scalability. The Oracle Certified Professional (OCP), Java SE 7 Programmer certification is designed for individuals who possess a strong foundation in the Java Programming language as well as proven skill in creating Java technology programs. This OCP, Java SE 7 Programmer course offers the right amount of training to the candidates to help in their preparation for the exam | The course has been designed by a group of talented professionals in the industry to help candidates in their effective learning, with quality online content and study materials | It also gives hands-on experience on the Java programming language; covering a wide range of topics like variables, operators, class, handling errors, deploying applications, syntax, concurrency, JDBC, and other related areas | A certificate is awarded to the candidates upon completion of the course
JUnit is a framework for writing and running unit tests for Java. This course covers how to get started with JUnit, key members of the API, and how to create a test case, use fixtures, create test suites and categories, optimize JUnit tests using execution procedures, timeouts and rules, manage test data, use theories and mock objects, run tests with Maven, and implement testing in legacy code. There are a number of features in JUnit for enhancing and expanding tests.
The most popular course tendering deep knowledge and insight into Big Data with Apaches Open Source Hadoop, Collabera Big Data and Hadoop Developer certification renders depth understanding. It includes MapReduce Frameworks, technologies like HBase, ZooKeeper, Pig, Flume and Hadoop Architecture. Become an expert in Hadoop and get familiar with industry based projects and cases. By engaging in this training certification, you will get the right experience to become certified Hadoop professional. Organizations are and continue to be looking for candidates with a right set of expertise for superb opportunities.
Big Data, Interview preparation, Data Analysis, , Operations
Vskills certification for Software Security Professional assesses the candidate for a company’s secured software development needs. The certification tests the candidates on various areas in software security which includes knowledge of various types of security attacks and countermeasures on programming language (C/C++, Java and .Net), web applications, web services, SOA-based application, and mobile applications and tools used.
Simplilearn’s Automation Testing Master’s Program will set you on the course to becoming an expert automation test engineer with a focus on software development and quality assurance. You’ll receive core Java certification training, learn to automate web applications that are integrated with DevOps processes, use the popular testing technologies and utilize containers on the Docker platform. | The Automation Testing Master’s Program is designed to give you complete knowledge of software testing technologies such as Selenium Web Driver, TestNG, Maven, AutoIT, Selenium Grid, Appium, and Docker. With this automation testing course, you will become adept in test automation and successfully employ the technical knowledge you learn to build a robust testing framework using Page Object Design Pattern and Data-Driven Approach. The Automation Testing training program kicks off with a detailed overview of Core Java 8 concepts and trains you on automating web applications in Selenium 3.0. You will also receive instruction on Docker to run your tests efficiently across various platforms and achieve parallelism in your testing environment and production with our Automation Testing training course
DevOps, Selenium, , Software development, Software testing, Production
A set of algorithms for distributed processing of large data sets on computer clusters built from commodity hardware dubbed as Apache Hadoop. This course provides an introduction on the basic concepts of cloud computing with the help Apache Hadoop, Big Data and cloud computing. It also includes high-level information about operation, concepts, architecture and Hadoop ecosystem. MapReduce programming used for processing parallelizable issues across huge datasets. The course will take you through basics of programming in MapReduce and Hive. This training program is packed with case studies and real-life projects so that you gain a complete knowledge of apache Hadoop and MapReduce.
Apache HBase is an open-source, non-relational, distributed database modelled after Google's BigTable and is written in Java. It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System), providing BigTable-like capabilities for Hadoop. This Apache HBase Fundamentals course will provide the candidates with the skills and knowledge on how to install HBase and discusses the HBase architecture and data modelling designs. The course offers unlimited access to the candidates for six months and a course completion certificate, which is recognised all across the world. Providing a career boost for both students and professionals, the modules have been designed by experts in the industry.
Core Java Developer Certification helps demonstrate the overall comprehension and expertise of an individual to pick up Java programming language.
Hadoop Developer certification will let students create robust data processing applications using Apache Hadoop. After completing this course, students will be able to comprehend workflow execution and working with APIs by executing joins and writing MapReduce code. This course will offer the most excellent practice environment for the real-world issues faced by Hadoop developers. Hadoop developers are among the world's most in-demand and highly-compensated technical roles. According to a McKinsey report, US alone will deal with shortage of nearly 190,000 data scientists and 1.5 million data analysts and Big Data managers by 2018
Big Data Hadoop Expert Program ensures that you transform into a Big Data Hadoop expert by acquiring core skill sets, including Hadoop Development and mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB. The program also equips you with relevant work experience by implementing real life industry projects in the requisite Hadoop technologies.
Big Data, Virtual Machine, , Insurance, Telecom, Machine Learning, Production, Administration, Operations
Hadoop is an Apache Software Foundation project and open source software platform for scalable, distributed computing. Hadoop can provide fast and reliable analysis of both structured data and unstructured data. In this course you will learn about the design principles, the cluster architecture, considerations for servers and operating systems, and how to plan for a deployment. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam. | Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. Professionals who are interested in big data or data analysis career can learn this tool. | This Apache Kafka course provides the candidates with the basic concepts and in-depth understanding of how to deploy it | The course also offers candidates skills on managing servers, data serialization and deserialization techniques, and strategies for testing Kafka | Designed by some of the best professionals in the industry, the course offers quality online learning modules | Upon successful completion, a certification is offered to the candidates
NoSQL databases are increasingly used in real-time web applications and big data. They provide a mechanism for retrieval and storage of data other than relational databases. They are attractive to developers due to their horizontal scaling, simplicity of design, and finer control over availability. In this course, you'll learn about the fundamentals of NoSQL data stores, the importance of queries and updates, and why a NoSQL implementation may be a better choice than a traditional relational database model. | NoSQL databases provide a mechanism for retrieval and storage of data other than RDBMS. They are increasingly used in real-time web applications and with big data. In this course, you'll learn about the different NoSQL data models, including Cassandra, MongoDB, and Riak. This course also covers concepts such as polyglot persistence and sharding. | NoSQL databases are attractive to developers due to their simplicity of design and finer control over availability. They are increasingly used in real-time web applications and big data. In this course, you'll learn about how to install CouchDB and concepts such as MapReduce and RESTful. This course also covers some basic programming using Java and JavaScript. | NoSQL databases provide a mechanism for retrieval and storage of data other than RDBMS. They are attractive to developers due to their simplicity of design and finer control over availability. In this course, you'll learn about security issues and how to address them. The course also covers the considerations that must be identified when dealing with HL7, HIPPA, and PCI.
Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.