About our program that encompasses big data engineer training in Austin, created in collaboration with IBM
IBM is a pioneer in the technology industry, and they continue to be one of the world’s top technology brands. IBM is the second-largest machine learning and predictive analytics provider in the world. Each year, they invest $6 billion into development and research directly related to technology to support its fast growth.
IBM's list of international accomplishments and recognitions include 6 Turing Awards, 5 U.S. National Medals of Science, U.S. National Medals of Technology (9), inductions into the U.S. Inventors Hall of Fame (10), and Nobel Prizes (5).
Together, IBM and Simplilearn have worked closely together in the development of our big data engineer training in Austin. This program is perfect for anyone looking to pursue a career in big data, data engineering, or other technology sectors.
What can I expect from this big data engineer training in Austin that was designed with IBM?
Earn two certificates from Simplilearn and IBM after successfully completing our big data engineer training in Austin. Give the highly competitive nature of the job market, the credential you gather here can leapfrog you ahead of the competition by helping you demonstrate your data engineering expertise better. Students also receive:
Our big data engineer training in Austin offers in-depth instruction on big data frameworks and other relevant technologies. Because big data is offered in numerous industries and organizations worldwide, it is an extremely valuable skill to have. Business of all types and sizes need this kind of data to make accurate decisions; infact, the expectations are that by 2025, the industry growth will be phenomenal.
In this course, students learn about the various programs and techniques needed to thrive as professional big data engineers. Our program also teaches ingestion performance, replicating and modeling data, database management system use, and more. The lessons on software are on Scala, Flume, Pig, MongoDB, Spark ML, Data Model Creation, Advanced Architecture, Impala, Hive, and others.
After enrolling in our big data engineer training in Austin, you’ll gain knowledge on the Hadoop ecosystem, a crucial component of big data engineering. This includes learning tools like MapReduce, Pig, Impala, HBase, Sqoop, and others. Upon completion of the big data engineer training in Austin, you’ll be able to:
The big data engineer training in Austin curriculum includes more than a dozen projects that mirror scenarios that big data engineers often handle. These projects teach clusters, configuration, scalability, and other key principles of data engineering. Examples of projects include:
Project 1: Set up big data clusters the same way big companies do
Project Title: Scalability-Deploying Multiple Clusters
Description: You’ve been tasked with creating a new cluster on a newly purchased system. Since setting up new systems will take a lot of time, there will be a need to build the new cluster on the current systems that exist. Your organization also wants you to start testing that the new cluster applications are adequately working.
Project 2: Use big data clusters the same way large organizations do
Project Title: Working with Clusters
Description: In this project for big data engineer training in Austin, you will demonstrate your comprehension of the following:
Project 3: Demonstrate how financial institutions and banks use big data when analyzing their competitors
Domain: Banking
Description: A Portuguese bank created a marketing campaign to target consumers wanting to invest in a bank term deposit. The campaign comprised prospecting via phone calls, with some getting multiple calls and task in front of you is gathering and analytics of the data that flows in.
Project 4: Utilize big data and focus on telecommunications to understand how telecom giants, such as AT&T, leverage data for various purposes
Domain: Telecommunication
Description: A mobile provider has a newly launched Open Network campaign, and customers were encouraged to submit complaints regarding local towers if they have service interruption or signal problems. Customers who did experience these difficulties submitted relevant information and this data was collected accordingly. The fourth and the fifth field of this information include the latitude and longitude of customers, which is important information for the mobile provider to have. You are tasked with identifying the latitude and longitude information on the basis of the available data and develop three clusters of users with a k-means algorithm.
Project 5: Learn how major streaming services, such as Netflix and Amazon Prime, use big data
Domain: The movie industry
Description: A United States-based university has collected data from various movie reviews as a part of a research project. Leveraging Spark, you will implement multiple activities with the data that is received to uncover elaborate insights from this project which is part of our big data engineer training in Austin.
Project 6: Learn how Simplilearn and other online schools use NoSQL and big data
Domain: E-learning industry
Description: Design a web application for a top online education program with MongoDB to support read and write scalability. Java, HTML, and Servlet are some of the different online technologies that can be used when creating this web application. Users should also be able to access, delete, edit, and add course data using MongoDB as the backend database.
Our big data engineer training in Austin is ideal for students looking to pursue a career in data engineering. There are no requirements to qualify for our training program, but experience or comprehension in any of the following can be beneficial:
Post gaining big data engineer training in Austin, which is presented in collaboration with IBM, you will find yourself in strong position to bag the opportunities listed below:
This 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 extracting valuable information from them.
Simplilearn’s Big Data Hadoop course lets you master the concepts of the Hadoop framework, Big data tools, and methodologies. Achieving a Big Data Hadoop certification prepares you for success as a Big Data Developer. This Big Data and Hadoop training help you understand how the various components of the Hadoop ecosystem fit into the Big Data processing lifecycle. Take this Big Data and Hadoop online training to explore Spark applications, parallel processing, and functional programming.
Get 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.
Simplilearn’s Kafka certification lets you explore how to process huge amounts of data using various tools. You will understand how to better leverage Big data analytics with this Kafka training. Take advantage of our blended learning approach for this Kafka course and learn the basic concepts of Apache Kafka. Get ready to go through the cutting-edge curriculum of this Apache Kafka certification designed by industry experts and develop the job-ready skills of a Kafka developer.
Simplilearn’s MongoDB certification equips you with the relevant skills required to become a MongoDB Developer. The highly-qualified instructors for this MongoDB course help you understand why more businesses are using MongoDB development services to handle their increasing data storage and handling demands. Our MongoDB training is equipped with industry projects, lab exercises and various demos to explain key concepts. Enroll in our MongoDB online course and learn this popular NoSQL database
Simplilearn’s AWS Data Analytics certification training prepares you for all aspects of hosting big data and performing distributed processing on the AWS platform. Our AWS data analytics course is aligned with the AWS Certified Data Analytics Specialty exam and helps you pass it in a single try. Developed by industry leaders, this AWS certified data analytics training explores some interesting topics like AWS QuickSight, AWS lambda and Glue, S3 and DynamoDB, Redshift, Hive on EMR, among others
Simplilearn’s Big Data Capstone project will give you an opportunity to implement the skills you learned in the Big Data Engineer 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.
Our Master's program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and skills you've gained working on projects, simulations, case studies will set you ahead of competition.
Talk about your certification on LinkedIn, Twitter, Facebook, boost your resume, or frame it - tell your friends and colleagues about it.
The average annual salary of a Big Data Engineer in Austin is $95,771. Data engineers frequently work in groups and should like collaborating with their peers and they also have a flexible work schedule. Candidates with a lean big data training course in Austin are highly preferred by the companies for the jobs.
A Big Data Engineer is someone who designs and manages a company's Big Data infrastructure and tools, as well as understands how to quickly extract information from large amounts of data. Some companies are hiring Big Data Engineers in Austin. Data Engineer, JAVA Big Data, Big Data Analytics, Big Data Architect, Big Data Developer are some of the popular job opportunities after completing Big Data Training in Austin.
Government public sector services, energy, agriculture & farming, banking & securities, entertainment, media communications, hospitality, and other industries employ Big Data Analytics. Advanced manufacturing, corporate headquarters, clean technology, and creative digital media technologies are all important industries recruiting people with big data training courses in Austin. Python, Scala, MongoDB, SQL, JAVA, and other tools are covered in the Big Data course in Austin.
To become a Big Data expert engineer, fine-tune your analysis, computer engineering, and big data skills. Get the certification on a Big Data course and develop your experience in the required fields. The needed abilities such as problem-solving, data mining, data visualization, analytical skills, and more will be learned through Big Data Engineering Training in Austin.
In Austin, Simplilearn offers a Big Data course which covers hadoop, spark, pyspark, MongoDB and AWS. Through this course, you can easily find out your dream salary and career as a Bid Data Engineer.
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.
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Austin's climate is humid subtropical with scorching summers. Austin is regarded as a significant technological hub. At night, moonlight towers designed to brighten the city's center area provide "artificial moonlight" to portions of Austin.
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