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How Google does Machine Learning
Our Courses
Cloud Composer: Qwik Start - Console
This is a self-paced lab that takes place in the Google Cloud console.
In this lab, you create a Cloud Composer environment using the GCP Console. You then use the Airflow web interface to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.
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Course by
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Self Paced
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1 hour
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English
NoSQL, Big Data, and Spark Foundations
Big Data Engineers and professionals with NoSQL skills are highly sought after in the data management industry. This Specialization is designed for those seeking to develop fundamental skills for working with Big Data, Apache Spark, and NoSQL databases.
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Course by
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Self Paced
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English
Cloud Composer: Qwik Start - Command Line
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use Cloud Shell command line to create the Cloud Composer environment and set Composer environment variables. You then use Composer to run a workflow that verifies a data file, creates and runs an Apache Hadoop wordcount job on a Dataproc cluster, and deletes the cluster.
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Course by
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Self Paced
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1 hour
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English
مقدمة عن البيانات الضخمة
مقدمة عن البيانات الضخمة هل أنت مهتم بزيادة معرفتك بأبرز سمات البيانات الضخمة؟ هذه الدورة التدريبية مخصصة للمستجدين في علوم البيانات والمهتمين بفهم أسباب ظهور عصر البيانات الضخمة. فهي مخصصة لمن يريدون الإلمام بالمصطلحات والمفاهيم الأساسية الخاصة بمشكلات البيانات الضخمة وتطبيقاتها وأنظمتها. إنها لمن يريدون البدء في التفكير بشأن الطريقة التي يمكن أن تفيدهم البيانات الضخمة بها في عملهم أو مسيرتهم المهنية.
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Course by
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Self Paced
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11 hours
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Arabic
빅 데이터 모델링 및 관리 시스템
분석해야 할 빅 데이터 문제를 파악했다면, 빅 데이터 솔루션을 사용해 어떻게 데이터를 수집, 저장 및 정리할 수 있을까요? 이 강의에서는 각 문제에 적합한 다양한 데이터 유형과 관리 도구를 소개합니다. 이 강의를 통해 빅 데이터 관리 시스템과 분석 도구의 관점에서 새로운 빅 데이터 플랫폼이 진화하고 있는 이유를 설명할 있을 것입니다. 이 실습 튜토리얼을 통해 실시간 및 반정형 데이터 사례를 사용한 기술에 익숙해질 것입니다. 여기서 다루는 시스템과 도구에는 다음이 포함됩니다. AsterixDB, HP Vertica, Impala, Neo4j, Redis, SparkSQL.
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Course by
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Self Paced
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Korean
Introduction to Big Data with Spark and Hadoop
This self-paced IBM course will teach you all about big data! You will become familiar with the characteristics of big data and its application in big data analytics. You will also gain hands-on experience with big data processing tools like Apache Hadoop and Apache Spark. Bernard Marr defines big data as the digital trace that we are generating in this digital era. You will start the course by understanding what big data is and exploring how insights from big data can be harnessed for a variety of use cases.
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Course by
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Self Paced
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24 hours
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English
Introduction to Data Engineering
Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem. You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field.
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Course by
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Self Paced
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13 hours
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English
Introduction to Big Data
Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career.
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Course by
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Self Paced
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17 hours
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English
Big Data Modeling and Management Systems
Once you’ve identified a big data issue to analyze, how do you collect, store and organize your data using Big Data solutions? In this course, you will experience various data genres and management tools appropriate for each. You will be able to describe the reasons behind the evolving plethora of new big data platforms from the perspective of big data management systems and analytical tools. Through guided hands-on tutorials, you will become familiar with techniques using real-time and semi-structured data examples.
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Course by
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13 hours
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English
Big Data Integration and Processing
At the end of the course, you will be able to: *Retrieve data from example database and big data management systems *Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications *Identify when a big data problem needs data integration *Execute simple big data integration and processing on Hadoop and Spark platforms This course is for those new to data science. Completion of Intro to Big Data is recommended.
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Course by
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Self Paced
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18 hours
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English