Big Data Engineer Training in Tampa
This Big Data Engineer Master’s Certification program in Tampa in collaboration with IBM provides online training on the best big data courses to impart skills required for a successful career in data engineering. Master the Big Data & Hadoop frameworks, leverage the functionality of AWS services, and use the database management tool MongoDB to store data.
- Course 1Big Data for Data Engineering
- Course 2Big Data Hadoop and Spark Developer
- Course 3PySpark Training Course
- Course 4Apache Kafka
- Course 5MongoDB Developer and Administrator
- Course 6AWS Big Data Certification Training
- Course 7Big Data Capstone
- Master's Certificate*You will get individual certificates for each course.
World’s #1 Online Bootcamp
- Live interaction with IBM leadershipIncludes live Master Classes and Ask me anything sessions
- 120+ hours of live interactive learningLive Online classes by industry experts
- Capstone and 15+ real life projectsBuilt on datasets of YouTube, Glassdoor, Facebook.
- Annual Average US salary $72K to $158K
For Business
Customized learning paths, 4x outcomes & completion rates; award-winning client support.
About the Program
About the Big Data Engineer certification program developed in collaboration with IBM
IBM is the second-largest predictive analytics and Machine Learning solutions provider globally (The Forrester Wave report, September 2018). A joint partnership with Simplilearn and IBM introduces students to integrated blended learning, making them experts in Big Data and Data Engineering. The Big Data Engineer certification training in Tampa developed in collaboration with IBM will make students industry ready to start their careers in Big Data and Data Engineer job roles.
IBM is a leading cognitive solution and cloud platform company, headquartered in Armonk, New York, offering a plethora of technology and consulting services. Each year, IBM invests $6 billion in research and development and has achieved five Nobel prizes, nine US National Medals of Technology, five US National Medals of Science, six Turing Awards, and 10 Inductions in US Inventors Hall of Fame.
What can I expect from this Simplilearn's Big Data Engineer Master's program developed in collaboration with IBM?
Upon completion of this Big Data Engineer Master's Program in Tampa, you will receive the certificates from IBM and Simplilearn in the Big Data courses in the learning path*. These certificates will testify to your skills as an expert in Data Engineering. You will also receive the following:
- USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
- Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice
- Industry-recognized Big Data Engineer Master's Certificate from Simplilearn
What are the learning objectives?
Big Data has a major impact on businesses worldwide, with applications in a wide range of industries such as healthcare, insurance, transport, logistics, and customer service. A role in this Data Engineering places you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond.
This co-developed Simplilearn and IBM Big Data Engineering certification training in Tampa are designed to give you in-depth knowledge of the flexible and versatile frameworks on the Hadoop ecosystem and data engineering tools like Data Model Creation, Database Interfaces, Advanced Architecture, Spark, Scala, RDD, SparkSQL, Spark Streaming, Spark ML, GraphX, Sqoop, Flume, Pig, Hive, Impala, and Kafka Architecture. This integrated program will also teach you to model data, perform ingestion, replicate data, and shard data using a NoSQL database management system MongoDB.
The Big Data Engineer course curriculum will give you hands-on experience connecting Kafka to Spark and working with Kafka Connect.
Why become a Big Data Engineer?
Big Data Engineers create and maintain analytics infrastructure and are responsible for the development, deployment, maintenance, and monitoring of architecture components, such as databases and large-scale processing systems. The global Big Data Engineering services market is expected to grow at a CAGR of 31.3 percent by 2025, so this is the perfect time to pursue a career in this field.
The valuable skills you’ll acquire with this online training in Big Data courses will help you secure employment with companies as diverse as IBM, Coca-Cola, Ford Motors, Amazon, HCL, and Uber. Big Data Engineers are employable across a variety of industries such as transportation, healthcare, telecommunications, finance, manufacturing, and many more. According to Glassdoor, the average annual salary for a Big Data Engineer is $137,776, with more than 130K jobs in this field worldwide.
What skills will you learn in this Big Data Engineer training in Tampa?
The Big Data Engineer learning path ensures that you master the various components of the Hadoop ecosystem, such as MapReduce, Pig, Hive, Impala, HBase, and Sqoop, and learn real-time processing in Spark and Spark SQL. By the end of this Big Data Engineer certification training in Tampa, you will:
- Gain insights on how to improve business productivity by processing Big Data on platforms that can handle its volume, velocity, variety, and veracity
- Master the various components of the Hadoop ecosystem, such as Hadoop, Yarn, MapReduce, Pig, Hive, Impala, HBase, ZooKeeper, Oozie, Sqoop, and Flume
- Become an expert in MongoDB by gaining an in-depth knowledge of NoSQL and mastering the skills of data modeling, ingestion, query, sharding, and data replication
- Learn how Kafka is used in the real world, including its architecture and components, get hands-on experience connecting Kafka to Spark, and work with Kafka Connect
- Get a solid understanding of the fundamentals of the Scala language, it's tooling and the development process
- Identify AWS concepts, terminologies, benefits, and deployment options to meet the business requirements
- Understand how to use Amazon EMR for processing the data using Hadoop ecosystem tools
- Understand how to use Amazon Kinesis for big data processing in real-time
- Analyze and transform big data using Kinesis Streams
- Visualize data and perform queries using Amazon QuickSight
What projects are included in this Big Data Engineer certification training in Tampa?
This Big Data Engineer certification training in Tampa includes more than 12 real-life, industry-based projects on different domains to help you master concepts of Data Engineering, such as Clusters, Scalability, and Configuration. A few of the projects that you will be working on are mentioned below:
Project 1: See how large MNCs like Microsoft, Nestle, and PepsiCo set up their Big data clusters by gaining hands-on experience.
Project Title: Scalability-Deploying Multiple Clusters
Description: Your company wants to set up a new cluster and has procured new machines. However, setting up clusters on new machines will take time. Meanwhile, your company wants you to set up a new cluster on the same set of machines and start testing the new cluster’s working and applications.Project 2: Understand how companies like Facebook, Amazon, and Flipkart leverage Big Data Clusters.
Project Title: Working with Clusters
Description: Demonstrate your understanding of the following tasks:- Enabling and disabling HA for namenode and resource manager in CDH
- Removing Hue service from your cluster, which has other services such as Hive, HBase, HDFS, and YARN setup
- Adding a user and granting read access to your Cloudera cluster
- Changing replication and block size of your cluster
- Adding Hue as a service, logging in as user HUE, and downloading examples for Hive, Pig, job designer, and others
Project 3: See how banks like Citigroup, Bank of America, ICICI, and HDFC make use of Big Data to stay ahead of the competition.
Domain: Banking
Description: A Portuguese banking institution ran a marketing campaign to convince potential customers to invest in a bank term deposit. Their marketing campaigns were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing campaign.Project 4: Learn how Telecom giants like AT&T, Vodafone, and Airtel make use of Big Data by working on a real-life project based on telecommunication.
Domain: Telecommunication
Description: A mobile phone service provider has launched a new Open Network campaign. The company has invited users to raise complaints about the towers in their locality if they face issues with their mobile network. The company has collected the dataset of users who raised a complaint. The fourth and the fifth field of the dataset have a latitude and longitude of users, which is important information for the company. You must find this latitude and longitude information on the basis of the available dataset and create three clusters of users with a k-means algorithm.Project 5: Understand how entertainment companies like Netflix, Amazon Prime leverage Big Data.
Domain: Movie Industry
Description: US-based university has collected datasets that represent reviews of movies from multiple reviewers as a part of the Research Project. To gain in-depth insights from research data collected you have to perform a series of tasks in Spark on the dataset provided.Project 6: Learn how E-Learning companies like Simplilearn, Lynda, and Pluralsight make use of NoSQL and Big Data technology.
Domain: E-Learning Industry
Description: Design a web application for a leading E-learning organization using MongoDB to support read and write scalability. You can use web technologies such as HTML, JavaScript (JSP), Servlet, and Java. Using this web application, a user should able to add, retrieve, edit, and delete the course information using MongoDB as the backend database.What are the prerequisites for this Big Data Engineer training in Tampa?
The Big Data Engineer certification training in Tampa is ideal for anyone who wishes to pursue a career in data engineering. There are no prerequisites to take this course, but prior knowledge of the listed skills and technologies are beneficial, including:
- Algorithms and data structures
- SQL
- Programming knowledge of Python and Java
- Cloud platforms and distributed systems
- Data pipelines
Tools Covered
Program Advisor
Ronald van Loon
Top 10 Big Data and Data Science Influencer, Director - AdversitementNamed by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
Learning Path
- Course 1
Big Data for Data Engineering
Read MoreThis introductory course from IBM will teach you the basic concepts and terminologies of Big Data and its real-life applications across industries. You will gain insights on how to improve business productivity by processing large volumes of data and extract valuable information from them.
- Course 2Online Classroom Flexi Pass
Big Data Hadoop and Spark Developer
Read MoreOur Big Data Hadoop certification training course lets you master the concepts of the Hadoop framework, Big Data tools, and methodologies to prepare you for success in your role as a Big Data Developer. Learn how various components of the Hadoop ecosystem fit into the Big Data processing lifecycle.
Powered by - Course 3
PySpark Training Course
Read MoreGet ready to add some Spark to your Python code with this PySpark certification training. This course gives you an overview of the Spark stack and lets you know how to leverage the functionality of Python as you deploy it in the Spark ecosystem. It helps you gain the skills required to become a PySpark developer.
- Course 4
Apache Kafka
Read MoreLearn to process huge amounts of data using different tools and empower your organization to better leverage Big Data analytics with the Apache Kafka certification course.
- Course 5Online Classroom Flexi Pass
MongoDB Developer and Administrator
Read MoreMore businesses are using MongoDB development services, the most popular NoSQL database, to handle their increasing data storage and handling demands. The MongoDB certification course equips you with the skills required to become a MongoDB Developer.
- Course 6Online Classroom Flexi Pass
AWS Big Data Certification Training
Read MoreThe AWS Big Data certification training prepares you for all aspects of hosting big data and performing distributed processing on the AWS platform and has been aligned to the AWS Certified Data Analytics – Specialty exam. This course is developed by industry leaders and aligned with the latest best practices.
- Course 7Online Classroom Flexi Pass
Big Data Capstone
Read MoreSimplilearn’s Big Data Capstone project will give you an opportunity to implement the skills you learned in the Big Data Engineer certification training. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.
Master's Program Certificate
- Electives
AWS Technical Essentials
- Electives
Java Certification Training
- Electives
Industry Master Class – Data Engineering
Get Ahead with Simplilearn's Master Certificate
Earn your certificate
Our Big Data Engineer Masters program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
Differentiate yourself with a Masters Certificate
The knowledge and Big Data skills you've gained working on projects, simulations, case studies will set you ahead of competition.
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Reviews
Md Azhar Hussain
BangaloreThis platform has enhanced my knowledge of big data engineering and provided me the opportunity to work with experienced industry professionals. I appreciate the tutor's in-depth knowledge and, the help and support provided by Simplilearn. After the certification, I was able to grab a role change.
Why Online Bootcamp
- Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
- Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
- Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
- Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
FAQs
What is Big Data Engineering?
Big data engineering is an important aspect of data science that involves building, maintaining, testing, and assessing big data solutions. It emphasizes the development of systems that allow for better flow and access to the data. It also incorporates the collection of data of disparate sources, cleaning, and processing data to make it ready for analysis.
What does a Big Data Engineer do?
A Big Data Engineer prepares data for analytical or operational uses. Their primary roles include building data pipelines to collect information from various sources, integrating, combining, cleaning, and using data for individual analytics applications. Their role evolves from collecting and storing data to transforming, labeling, and optimizing data.
Big Data Engineers often work with data scientists who run queries and algorithms against the collected information for predictive analysis. They also work with business units to deliver data aggregations to executives. Big Data Engineers commonly work with both structured and unstructured data sets, for which they must be well-versed in different data architectures, applications, and programming languages such as Spark, Python, and SQL.
How do I become a Big Data Engineer?
These Big Data courses developed in collaboration with IBM will give you insights into the Hadoop ecosystem, Big Data engineering tools, and methodologies to prepare you for success in your role as a Big Data Engineer. The industry-recognized certification from IBM and Simplilearn will attest to your new skills and on-the-job expertise. The program will train you on Big Data and Hadoop, Hadoop clusters, MongoDB, PySpark, Kafka architecture, SparkSQL, and much more to become an expert in Big Data Engineering.
What can I expect from the Big Data Engineer course?
As a part of this Big Data Engineer course, developed in collaboration with IBM you will receive the following:
- Lifetime access to e-learning content for all of the Big Data courses included in the learning path (*only for Simplilearn courses)
- Industry-recognized certificates from IBM(for IBM courses) and Simplilearn upon successful completion of the program
- Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice
*For which all courses will I get certificates from IBM?
You will get an IBM certificate for the first course present in the Big Data Engineer learning path.
How do I earn the Big Data Engineer Master's certificate?
Upon completion of the following minimum requirements, you will be eligible to receive the Master’s certificate that will testify to your skills as a Big Data Engineer.
Course Course Completion Certificate Criteria Big Data for Data Engineering Required 85% of online self-paced completion Big Data Hadoop and Spark Developer Required 85% of online self-paced completion OR attendance of one Live Virtual Classroom, AND score above 75% in course-end assessment AND successful evaluation in at least one project PySpark Training Required 85% of online self-paced completion MongoDB Developer and Administrator Required 85% of online self-paced completion OR attendance of one Live Virtual Classroom, AND score above 75% in course-end assessment AND successful evaluation in at least one project Apache Kafka Required 85% of online self-paced completion Big Data on AWS Required Attendance of one Live Virtual Classroom AND successful evaluation in at least one project
Our Tampa Correspondence / Mailing address
Simplilearn's Big Data Engineer Training in Tampa
7320 East Fletcher Avenue Tampa, Florida 33637 United States
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