List of Online Courses and Certifications

The Android Machine Learning with TensorFlow lite in Java/Kotlin certification course was designed by Hamza Asif, an Android Developer, Flutter Developer, and Instructor, and is made available through Udemy, which is aimed at students who want to become proficient in the machine learning tools and methodologies to implement machine learning models in their android applications using the functionalities of TensorFlow Lite.

Android Machine Learning with TensorFlow lite in Java/Kotlin online classes encompass more than 5.5 hours of prerecorded lectures supported by 19 downloadable study materials which are geared toward teaching students how to use Android Studio and TensorFlow Lite to incorporate machine learning and computer vision into their applications for Android. Android Machine Learning with TensorFlow lite in Java/Kotlin online course discusses topics like application development, classification, and regression as well as explains the functioning of various tools like Keras, Java, Kotlin, Pandas, Numpy, and Matplotlib.

Deep learning is a branch of artificial intelligence and machine learning that resembles how learners understand specific types of information. Data science, which also includes statistical data and predictive modeling, includes deep learning as a crucial aspect. TensorFlow 101: Introduction to Deep Learning online certification is created by Sefik Ilkin Serengil - Software Engineer, which is delivered by Udemy for the participants who are interested in learning the TensorFlow framework and concepts involved with artificial intelligence, machine learning, and data science.

TensorFlow 101: Introduction to Deep Learning online training is a self-paced program that offers 4 hours of digital lessons accompanied by downloadable learning resources and assignments which is aimed at the participants who want to acquire a foundational understanding of the concepts involved with deep learning from scratch. TensorFlow 101: Introduction to Deep Learning online classes discusses topics like deep neural networks, segmentation analysis, time series analysis, supervised learning, unsupervised learning, face recognition, machine learning models, and more.

Bigdata with AWS - From Beginner to Expert online certification is developed by Saif Shaikh - Professional Data Engineer & Trainer and is presented by Udemy which is aimed at individuals who want to improve their big data skills by utilizing AWS's features. Bigdata with AWS - From Beginner to Expert online course by Udemy focuses on teaching the core functionalities of tools like Hadoop, Hive, Spark, Scala, Kafka, and more.

Bigdata with AWS - From Beginner to Expert online classes comprise 81 hours of thorough video-based lectures as well as rich learning resources aimed at teaching big data analytics fundamentals. AWS, Sqoop, Hive, Cassandra, Scala, Kafka, Hadoop, Spark, and more tools are covered in this course. Individuals will be prepared to operate in an independent industry environment by the end of this course, which will help them acquire confidence in coding as codes are written from scratch.

AWS Certified Developer Associate Exam Training DVA-C02 online course was created by Neal Davis, AWS Certified Solutions Architect & Developer, in collaboration with Digital Cloud Training, a learning platform that provides the top-notch AWS certification test preparation resources, and is presented by Udemy, which is designed for learners who want to learn how to architect and build applications on Amazon Web Services while preparing for the AWS certified developer associate examination.

AWS Certified Developer Associate Exam Training DVA-C02 online classes include 17.5 hours of prerecorded resources, as well as 2 articles, quizzes, and practice exams, so students may put their new abilities to use right away. AWS Certified Developer Associate Exam Training DVA-C02 syllabus includes topics like application development, load balancing,  application security, application integration, auditing, monitoring, logging, cloud computing, and many more. By the end of this course, learners will have gained a solid experience-based competence on AWS, and the determination to master their AWS certified developer associate examination on the first attempt.

AWS Certified Solutions Architect - Associate 2022 online course Zeal Vora - Certified Instructor, which is made available through Udemy, is aimed at participants who want to get into the domain of cloud computing and AWS and want to achieve the authorized solutions architect associate accreditation by AWS. The AWS Certified Solutions Architect - Associate 2022 online classes by Udemy are designed to help businesses find and develop personnel with the skills they need to implement cloud initiatives.

AWS Certified Solutions Architect - Associate 2022 online training contains more than 29.5 hours of digital video-based lectures, 5 downloadable materials, 24 articles, and practice tests included in the program to help learners learn how to build and implement distributed systems on AWS. By the end of this course, participants will have mastered many areas of AWS global infrastructure, storage, security,  storage, access, identity management, and more.

Amazon Web Services offers a comprehensive and fully integrated portfolio of cloud computing services that can help individuals in developing, securing, and deploying big data applications. Individuals can focus their assets on revealing new insights because there is no equipment to purchase and no infrastructural facilities to maintain and scale with AWS. The Big Data on Amazon Web Services (AWS) online certification was created by Learnsector LLP, an educational organization that offers information technology courses, and is delivered by Udemy.

Big Data on Amazon web services (AWS) online course involves 7 hours of digital lectures accompanied by 5 articles and 5 downloadable resources which are created to help participants gain practical experience with AWS and big data strategies on the cloud. Big Data on Amazon Web Services (AWS) online classes aimed at simplifying the process of using big data tools on AWS while also discussing various concepts and strategies related to cloud computing, business intelligence,  data warehousing, artificial intelligence, data migration, machine learning, big data analytics, and more.

The PySpark Essentials for Data Scientists (Big Data + Python) online certification, created by Layla AI - Data Scientist Consultant & Instructor, is offered by Udemy to participants who want to learn the practical PySpark concepts they will need to know daily to become qualified data scientists and data engineers.

PySpark Essentials for Data Scientists (Big Data + Python) online training by Udemy comprises more than 17.5 hours of virtual lessons along with 28 articles and 139 downloadable resources which provide a strong foundation for big data concepts using Python. Participants in the PySpark Essentials for Data Scientists (Big Data + Python) online course will learn about a variety of subjects including data streaming, application development, data wrangling, machine learning, natural language processing, spark structured streaming, hyperparameter tuning, cross-validation, topic modeling, Gaussian mixture modeling, and much more.

The accountabilities of an Apache PySpark developer encompass creating Spark tasks for data aggregation and transformation, drafting test scripts for Spark helper and transformation methods, writing Scaladoc-style documentation for all code, and designing data processing channels. Complete PySpark Developer Course (Spark with Python) online certification is created by Sibaram Kumar - Data Engineer & Instructor, which is offered by Udemy.

Complete PySpark Developer Course (Spark with Python) online classes are intended for candidates looking for a comprehensive program to help them learn the core functionalities of PySpark to become data engineers and data scientists. Complete PySpark Developer Course (Spark with Python) online training covers topics such as Spark RDD, HDFS, Spark SQL, SparkSession, DataFrames, DataTypes, and ETL, as well as the strategies involved in the effective big data processing.

Python and Apache Spark have teamed up to create PySpark. As opposed to Python, which is a general-purpose, high-level language of programming, Apache Spark is an open-source cluster computing framework focused on speed, usability, and streaming analytics. Apache PySpark Fundamentals certification course is developed by Johnny F. - Programmer & Instructor and is made available by Udemy for learners who want to become professional PySpark developers.

Apache PySpark Fundamentals online training is a comprehensive program that incorporates 1.5 hours of digital lessons supported by downloadable learning materials that focus on teaching the basics of Apache Spark with Python and equip students with all the knowledge they need to create Spark applications using PySpark. Apache PySpark Fundamentals online course covers topics such as Spark functions and resilient distributed datasets, and it offers an understanding of Apache Spark and how it can help with data science and big data analytics.

Python's PySpark provides an interface for Apache Spark. Along with offering the PySpark shell for collaborative data analysis in a distributed environment, PySpark allows users to create Spark applications using Python APIs. The majority of Spark's features, including Spark SQL, DataFrame, Streaming, MLlib, and Spark Core, are supported by PySpark. Learning PySpark online certification is designed by Packt Publishing - a learning platform that is intended to offer certifications to help applicants improve their knowledge and is delivered by Udemy.

Learning PySpark online training is a short-term program that contains 2.5 hours of video lectures along with downloadable resources which begins by offering applicants a solid understanding of Apache Spark and how to set up a Python environment for Spark. With the help of Learning PySpark online classes, applicants will learn about Spark SQL, Spark DataFrame, API, lazy execution, data sorting, data aggregation, and data transformation as well as will learn how to process data using Spark DataFrames and master data collection methods by distributed data processing.

A unique class of machine learning algorithms called artificial neural networks is based on how the human brain processes. ANN can learn from the data and produce outputs in the manner of forecasts or categorization, much like the neurons in our nervous system can do. The Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize online certification was created by data scientist Kirill Eremenko, AI entrepreneur Hadelin de Ponteves, and the Ligency Team, which is available on Udemy.

Deep Learning A-Z 2024: Neural Networks, AI & ChatGPT Prize online course is intended for learners interested in understanding the more advanced principles of deep learning and machine learning, including logistic regression and linear regression. With Deep Learning A-Z™: Hands-On Artificial Neural Networks online classes, learners will be provided with 22.5 hours of videos along with 38 articles and 5 downloadable resources which explain the functionalities of tools like TensorFlow and PyTorch as well as discuss the strategies involved with ANN intuition, CNN intuition, RNN intuition, and SOM intuition.

Neural networks, which help compensate for deep learning models, are typically built in a sequence of increasing the scale and abstraction. Neural networks are developed from a group of interconnected components that, like the synapses in the brain, can communicate with one another to function as interconnecting brain cells and understand and make decisions more like human beings. The Neural Networks in Python: Deep Learning for Beginners certification course is offered by Udemy and was designed by Start-Tech Academy, an institution of higher learning with over 160 locations worldwide.

Neural Networks in Python: Deep Learning for Beginners online course includes 9.5 hours of study material along with 4 articles, downloadable resources, practice exercises, assignments, and quizzes that revolve around topics like artificial neural networks, data processing, data manipulation, and statistical computation. Neural Networks in Python: Deep Learning for Beginners online classes also explain the functionalities of tools like Python, Keras, Tensorflow, Pandas, Numpy, and Seaborn to create neural networks for deep learning operations.

TIBCO ActiveSpaces Training course is an online training programme offered by the online educational platform Mindmajix to help the students to have an in-depth knowledge of TIBCO ActiveSpaces.  The curriculum will walk the students through the concepts of Querying, ACID-compliant NoSQL Data Grid, entry-level production and whatnot. The candidates will also understand the f distributed in-memory data grid, database performance, caching systems and messaging software through practical training and real-time examples. 

TIBCO ActiveSpaces Training online course facilitates the learners, particularly Innovation Professionals, Programming Specialists, Carrier Enthusiasts etc, to take the course in the modes of live online instructor-led sessions, self-paced mode using the e-learning videos and corporate training. TIBCO ActiveSpaces Training certification will also render the candidates a deep understanding of TIBCO ActiveSpaces, BW Plug-in Capabilities, Browsing Data in Spaces, Types of Persistence and whatnot. At the end of the online training, the learners will be provided with premium features of lifetime access to the learning videos, mock interviews, quizzes, job assistance etc. 

Dylan Curry Professional C++ & Python Developer designed the Comprehensive Software Development Using C++ certification course, which is available on Udemy and aims to provide a deep overview of the major software development ideas using the C++ programming language. The Comprehensive Software Development Using C++ online course by Udemy covers the fundamental principles and strategies of software development, as well as topics such as data structures and algorithms.

The Comprehensive Software Development Using C++ online classes are structured into three portions, where the first section introduces students to the fundamentals of C++ and computer science. The second section covers basic C++ programming principles, while the third section concentrates solely on data structures and algorithms, such as linked lists and trees. Participants will also be taught about topics like polymorphism, encapsulation, inheritance, virtual memory layout, virtual address, dynamic programming, recurrence reactions, dynamic memory, control structures, and many more.

Migrating data, applications, or other system components to a cloud computing environment is referred to as cloud migration. An organization can migrate to the cloud in a variety of methods. Harshit Srivastava - SME on Cloud, Bluemix has created the Cloud Migration on Microsoft AZURE certification course, which is made available by Udemy for candidates who are interested in learning about the cloud migration options available on Microsoft Azure to become certified cloud engineers.

Cloud Migration on Microsoft AZURE online training is a self-paced training program with hour-long video-based learning resources supported by articles and practice tests to provide candidates with a thorough understanding of the cloud migration activities on Azure. Cloud Migration on Microsoft AZURE online classes discusses topics like application development, application deployment, database migration, and site recovery as well as will learn about the different cloud migration techniques and services available on the Microsoft Azure cloud platform.

Cloud migration planning is a sophisticated approach that a company uses to migrate its current on-premises and/or co-located application workloads and the data they generate to the cloud. Cloud Migration - Build a Cloud migration Plan online certification is developed by eTech School - a digital learning platform that helps individuals in acquiring tech skills and is made available by Udemy for the individuals who want to acquire the skills to manage their infrastructure with the cloud.

Cloud Migration - Build a Cloud migration Plan online training is a short-term program that consists of 2.5 hours of digital lessons intended for individuals with an IT background or who have some technical expertise and want to comprehend the functionalities of cloud migration. Cloud Migration - Build a Cloud migration Plan online course, individuals will be taught about topics like cloud computing, application migration, migration services, migration plan, AWS management console as well as will be provided with an overview of how to create virtual machines and migrate existing services to the cloud with some practical interfaces.

The Open Infrastructure Foundation primarily offers one professional credential, Certified OpenStack Administrator, which was created for OpenStack administrators with a minimum of six months of experience in the field. Preparing to Certified OpenStack Administrator (COA) Exam online course is created by Kris Celmer - Cloud Expert & IT Infrastructure Professional, which is offered by Udemy for individuals who want to acquire the knowledge and expertise to become certified OpenStack Administrator (COA).

Preparing to Certified OpenStack Administrator (COA) Exam syllabus offers 19 hours of detailed video-based lessons supported by 30 downloadable study materials which provide a great introduction to OpenStack and cloud technologies as well as cover all the topics stated in the latest COA standardized criteria. Preparing for Certified OpenStack Administrator (COA) Exam online training teaches about various technologies including Vagrant, Keystone, Nova, Neutron, Cinder, Swift, Heat orchestration, image management, identity management, network management, and more.

OpenStack is a genuinely free cloud-based platform that is typically used in IaaS models in both public and private clouds, where users can access virtualized resources and other services. The software platform is made up of interconnected components that manage various hardware units of computing, memory, and networking resources spread throughout a data center from multiple providers. Ugur Oktay, an IT architect, developed and published the OpenStack Essentials certification course, which is offered by Udemy.

OpenStack Essentials online training comprises 6 hours of digital sessions, 8 downloadable resources, articles, and quizzes, and is intended for candidates who want to learn about OpenStack and its main services thoroughly from scratch. OpenStack Essentials online classes cover topics like cloud computing, lifecycle management, OpenStack cluster, troubleshooting, and command line interface as well as discuss how to operate and use OpenStack and gain the confidence to proceed onto the next steps.

An accessible cloud platform called OpenStack is intended to handle distributed computing, networking, and storage infrastructure in data centers. In general, OpenStack combines material assets into a single large pool and distributes virtual resources from this pool to clients who may then request them as needed through a customized portal or application programming interfaces. Naveen Joy, an expert in open source technologies like the OpenStack, Kubernetes, docker, AWS, and DevOps, designed the Fundamentals of the OpenStack Cloud with Hands-on Labs online certification, which is provided by Udemy.

Fundamentals of the OpenStack Cloud with Hands-on Labs online training is intended for students who wish to enhance their knowledge and comprehension of the methodologies used in cloud computing and OpenStack cloud to obtain their OpenStack administrator certification. Fundamentals of the OpenStack Cloud with Hands-on Labs online course involves more than 7.5 hours of prerecorded lessons supported by 3 downloadable resources, 2 practice tests, quizzes, and assignments that revolve around topics like floating IP address, security group, neutron virtual router, cloud controller, cloud nodes and more.

For creating and administering our customized IaaS cloud infrastructure, users can use the free and open-source software platform known as OpenStack. This cloud software platform consists of multiple services and modules that may design and manage physical groups of computing power, storage, and networking resources throughout a data center. The TetraNoodle Team and Manuj Aggarwal, a business strategist, author, inventor, and instructor, developed OpenStack: Public & Hybrid IaaS Cloud with OpenStack online certification, which is provided through Udemy.

OpenStack: Public & Hybrid IaaS Cloud with OpenStack online course contains more than 3.5 hours of in-depth video lectures aimed to instruct Learners about OpenStack and all of its elements and services. With the help of the OpenStack: Public & Hybrid IaaS Cloud with OpenStack online classes, learners will study public IaaS clouds, hybrid IaaS clouds, IaaS clusters, and OpenStack management as well as will also examine some data which shows how important these skills are for becoming software engineers or system administrators as well as how the popularity for these skills is rising.

The Projects in Hadoop and Big Data - Learn by Building Apps certification course was created by Eduonix Learning Solutions in collaboration with Eduonix Tech & Eduonix Support and is offered by Udemy, which is intended for students who want to use Hadoop and big data functionalities at work and who want to become proficient in the methods for implementing big data technologies.

Projects in Hadoop and Big Data - Learn by Building Apps online course is a short-term program that consists of 10 hours of lectures accompanied by an article and 19 downloadable resources with the goal of assisting the students in learning the techniques to develop Hadoop solutions that will address real-world issues. With the help of the Projects in Hadoop and Big Data - Learn by Building Apps online classes, students will learn about the theories and methods underlying big data analytics, application development, data science, real-time streaming, Hadoop analytics, data visualization, and much more.

Hadoop is a free and open-source framework. Apache provides it to analyze and visualize huge amounts of data. Hadoop is implemented in Java and is presently used by companies like Facebook, Google, LinkedIn, and Twitter. Big Data and Hadoop for Beginners - with Hands-on Certification is a course developed by Andalib Ansari - Big Data Architect and made available by Udemy for learners who want to learn the fundamental and advanced concepts of big data and Hadoop.

Big Data and Hadoop for Beginners - with Hands-on online training is a 3-hour program that includes 2 articles and 7 downloadable resources to help learners comprehend the intricate architecture of Hadoop and its components, as well as guide them in the correct direction to begin working with Hadoop and its elements. Big Data and Hadoop for Beginners - with Hands-on online course covers big data analytics, HDFS, data pipelines, sample queries, data lakes, data sets, Hive, and Pig, as well as provides an understanding of the big data market, job roles, technology trends, Hadoop history, and Hadoop ecosystem.

Apache Hadoop is an open-source platform for storing and processing huge databases ranging in size from megabytes of data to petabytes. Instead of storing and processing data on a single large computer, Hadoop allows for the grouping of multiple computers to analyze huge datasets in parallel more rapidly. Big Data Hadoop - The Complete Course certification was developed by Telcoma Global, an organization that provides services to the Telecom & IT industries, and is offered by Udemy.

Big Data Hadoop - The Complete Course online training comprises more than 11.5 hours of digital lessons supported by two articles and is aimed at students seeking both basic and advanced skills in big data Hadoop. Big Data Hadoop - The Complete Course online classes covers the topics ranging from beginner to advanced level expertise for big data Hadoop certification, such as grid computing, data querying, data storage, data ingestion, and more.

Big Data is a massive collection of data that is growing rapidly over time. It is a data set that is so big and complicated that traditional data processing tools cannot store or process it proficiently. Big data is a type of information that is extremely massive in size. Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB online certification is developed by Navdeep Kaur Instructor & Founder of TechnoAvengers.com and is offered by Udemy.

Data Engineering Master Course: Spark/Hadoop/Kafka/MongoDB online course involves more than 11.5 hours of prerecorded lessons, 5 articles, and 21 downloadable resources which begin with an explanation of what the Hadoop distributed file system is along with the most prevalent Hadoop commands required to operate with Hadoop file system. Master Big Data - Apache Spark/Hadoop/Sqoop/Hive/Flume/Mongo online training will also cover topics such as data migration, data ingestion, CRUD operations, data frames, and the functionalities of tools such as MySQL, Cassandra, Sqoop, Flume, Hive, and MongoDB.

The Big Data and Hadoop for Absolute Beginners online certification have been created by Udemy IT Skills In Demand, an educational platform that teaches difficult skills in a straightforward manner, which is made available by Udemy for participants who want to transform themselves into big data engineers and Hadoop developers to advance in their careers by mastering the concepts and methods involved with big data and Hadoop from the ground up.

Big Data and Hadoop for Absolute Beginners online classes comprise more than 3.5 hours of digital learning resources that cover all the terms and concepts related to big data and Hadoop, including DataNode, NameNode, Secondary NameNode, TaskTracker, and JobTracker. The Big Data and Hadoop for Absolute Beginners online course explain the features of applications like HDFS, YARN, Amazon EC2, VMWare, and development environment as well as will learn about all the terms related to MapReduce programming and how to write programs using MapReduce.

The creation and coding of Hadoop applications is the responsibility of Hadoop developers. An open-source framework called Hadoop is used to store and manage big data applications that are run inside of cluster architectures. In essence, a Hadoop developer develops applications to maintain and manage big data for a business. Hadoop Developer In Real World online certification is developed by Hadoop In Real World - Expert Big Data Consultants and is offered by Udemy.

Hadoop Developer In Real World online course involves more than 20.5 hours of extensive learning materials along with 4 articles and 88 downloadable resources which are aimed at the participants who want to acquire the knowledge of the concepts involved with Hadoop and big data to become certified in Hadoop developers. Hadoop Developer In Real World online training covers topics like data analysis, cloud computing, and Cloudera manager and discusses the functionalities of various big data technologies including Flume, Sqoop, YARN, Kafka, AWS, Pig, Hive, and more.

Big data is a collection of organized, semi-organized, and unstructured data collected by businesses that can be extracted for knowledge and applied to advanced analytics tasks like predictive modeling and machine learning. Sundog Education, an educational platform that offers extremely advantageous skillsets in big data, data science, and machine learning in collaboration with Frank Kane, founder of Sundog Education, has created The Ultimate Hands-On Hadoop: Tame your Big Data certification course, which is made available through Udemy.

The Ultimate Hands-On Hadoop: Tame your Big Data online training is a self-paced program that provides more than 14.5 hours of video-based lessons accompanied by 8 articles and 2 downloadable resources which are intended for students who want to comprehend the broader Hadoop ecosystem and use it to store, analyze, and sell big data at scale. The Ultimate Hands-On Hadoop: Tame your Big Data online course covers various data engineering technologies including Cassandra, MongoDB, MySQL, Kafka, Spark, Hive, Flink, Storm, Presto, Hbase, ZooKeeper, Sqoop, Hue, Flume, Oozie, Mesos, Phoenix, Drill, and more.

Apache Spark is a strong and united analytics engine for handling large amounts of data. It involves Java, Scala, Python, and R APIs, as well as an optimized engine that supports general implementation graphs. Apache Spark with Scala - Hands On with Big Data online certification is designed by Sundog Education  - an educational platform that provides valuable professional skills in big data, data science, and machine learning in association with Frank Kane- Founder of Sundog Education, which is presented by Udemy.

Apache Spark with Scala - Hands On with Big Data online course offers 9 hours of hands-on lectures along with 3 articles which are designed to help candidates learn the technique of framing data analysis difficulties as spark problems using over 20 hands-on illustrations, and then scaling them up to operate on cloud computing services. Apache Spark with Scala - Hands On with Big Data online classes discuss topics like big data analysis, machine learning, data streaming, caching, partitioning, graph structures, structured data, data frames, Hadoop clusters, datasets, and more.

Developed by eBay Inc., Apache Kylin is a free software distributed analytics engine that supports multi-dimensional assessment (OLAP) on Hadoop and supports extremely large sets of data. Apache Kylin: Implementing OLAP on the Hadoop platform online certification is designed by Michael Enudi - Certified Instructor and is delivered by Udemy which is targetted at applicants who want to master the concepts and strategies related to the implementation of online analytical processing on the Hadoop platform using the functionalities of Apache Kylin.

Apache Kylin: Implementing OLAP on the Hadoop platform online training is a 6-hour education program accompanied by articles and case studies that will teach participants how to create and use Apache Kylin to query big data OLAP cubes. Apache Kylin: Implementing OLAP on the Hadoop platform online classes revolve around topics such as data streaming and big data analytics, as well as techniques for writing sophisticated aggregation queries of large datasets with low latency reaction times.

The Hadoop ecosystem is a framework or software that offers a variety of offerings to fix big data problems. Hadoop comprises Apache projects as well as a variety of commercial services and analytics. Learn Big Data: The Hadoop Ecosystem Masterclass certification course is designed by Edward Viaene - DevOps, Cloud & Big Data Specialist, and delivered by Udemy, which is intended for individuals who want to master big data concepts using Hadoop's functionalities.

Learn Big Data: The Hadoop Ecosystem Masterclass online classes incorporate 6 hours of video-based learning resources supported by articles and downloadable resources designed to provide individuals with foundational understanding to discuss real-world challenges and solutions with industry experts. Learn Big Data: The Hadoop Ecosystem Masterclass online training covers topics such as Pig, Hive, Spark, Hbase, HDFS, Hadoop stack, Hadoop security, high availability, query optimization, and how to utilize the commercial software in the big data industry presently, using both batch and real-time processing.