• know the reasons why the Hadoop platform is popular through its main advantages; understand the benefits provided with the latest versions, be able to install
  the Hadoop and have basic skills in Hadoop navigating effectively, get familiar with the architecture and basic real Hadoop use-cases;

• have deep knowledge of Hive functionality, understand
  User Defined functions in Hive and know the main use cases, be familiar with ACID Transactions, have grounded skills, and know how to use three types of statistics for Cost Based Optimizer and which optimization technique to apply to increase Hive performance;

• be familiar with the flow-based programming concept, understand what Apache Nifi Project is and be able to automate the flow of data between software systems, use StreamSets Data Collector;

• know the general characteristics of messaging systems and their types, understand what Kafka is, its main use cases, capabilities, architecture, and main components, have grounded skills and know how to use Kafka Connect framework in order to see which problem it is aimed to solve as a part of Kafka ecosystem;

• use Oozie, Airflow, and Jenkins pipelines workflow management tools, understand its features and work mechanism, architecture, and main components;

• understand the Apache Spark framework; know the roles of Catalyst Optimizer and Tungsten project in increasing the Spark’s efficiency; be familiar with Spark Streaming and know how to use it for steaming data analysis, have a deep understanding of the concept and features of Structured Streaming;

• have a clear understanding of streaming data processing and know how such data can be used for analytic goals, have meaningful knowledge of Kafka streams library, and understand how it can be used to build applications and microservices where the input and output data are stored in Kafka clusters;

• be familiar with NoSQL alternative to traditional relational databases, understand the difference of NoSQL from RDBM, know the key features, architecture, main use cases, and competitive advantages of NoSQL databases such as Cassandra, MongoDB, and HBase;

• have a deep understanding of Elastic search features, functionality, architecture, and components, know its advantages, be able to install Elasticsearch and use basic commands as well as know how to control querying results;

• be familiar with cloud-based solutions, have comprehensive knowledge of cloud computing, networking, identity, and security as well as have deep understanding of Big Data processing based on cloud infrastructure and serverless approach;

• Introduction into Data

• Hadoop

• Hive

• Spark

• Kafka

• Streaming

• Data Movement

• Cloud

• Workflow

• NoSQL

• Elasticsearch

• Is there an option to pay in parts?

  Yes, you can pay for each module separately (instalment payment).

• When do I pay if I choose the instalment payment option?

  When choosing this option, payment should be made within the first two months after the program start.

• Do I still have my 20% discount
  if I pay in parts?

  Yes, sure.

• Can I add my 20% discount and 10% for one transaction payment?

  Yes, you can.

• Is there a refund if my plans change?

  Yes, there are several cases that allow refunding. As well, individual plan of studying can be considered.

• Do I need to sign anything offline and come personally?

  No, all the documents are signed online.

• What is my deadline to make up my mind and pay?

  You should sign the contract and make the first payment 6 working days before the program starts.

• Do I need to pay for the education at the university additionally to paying for the program itself?

  Yes, if you are not eligible for a state form of education.

"I was taking a technical expertise course, but I took a strong interest in the product management module. We learned how to start the project, plan the development process and build a business model for the product. I even came up with ideas for my own projects."

"After only a month of studying, I was given a new position and a salary 30% higher. I thought the program would just give me new skills, but it gave me so much more — a full set of tools and knowledge to launch new products or even start my own business."