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Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. Cloud applications and data analytics represent a disruptive change in the ways that society is informed by, and uses information.

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  • 20 ساعات
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Exploratory Data Analysis for Machine Learning

Exploratory Data Analysis for Machine Learning

This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data.

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  • 14 ساعات
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Introduction to NoSQL Databases

Introduction to NoSQL Databases

Get started with NoSQL Databases with this beginner-friendly introductory course! This course will provide technical, hands-on knowledge of NoSQL databases and Database-as-a-Service (DaaS) offerings. With the advent of Big Data and agile development methodologies, NoSQL databases have gained a lot of relevance in the database landscape. Their main advantage is the ability to handle scalability and flexibility issues modern applications raise.

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  • 18 ساعات
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Introduction to Data Engineering

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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  • 13 ساعات
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Relational database systems

Relational database systems

Welcome to the specialization course Relational Database Systems. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how several types of information systems and databases are available to solve different problems and needs of the companies.

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  • 15 ساعات
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NoSQL, Big Data, and Spark Foundations

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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Gestión de Datos con Python: Crea una aplicación con MongoDB

Gestión de Datos con Python: Crea una aplicación con MongoDB

Este Proyecto Guiado Gestión de Datos con Python: Crear una aplicación con MongoDB es de nivel Intermedio. En este curso basado en proyectos de 1 hora de duración, aprenderá cómo preparar la conexión con la base de datos MongoDB, crear base de datos y colecciones en MongoDB y manipular los datos insertados a través de la aplicación con Python. Para lograr esto, trabajaremos a través de cinco tareas instructivas y una práctica que paso a paso le irán guiando para obtener las habilidades que necesita para realizar los objetivos anteriores.

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  • 3 ساعات
  • الإسبانية
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Getting Started with Apache Cassandra

Getting Started with Apache Cassandra

The “Getting Started with Cassandra” course is designed to help you gain knowledge of the Cassandra database system. You will learn architecture as well as how to design, build and use Cassandra databases. This training course helps you develop your skills and knowledge in Cassandra. Cassandra is a NoSQL database that has the traits of a distributed, open-source, and decentralized database or storage system. It can support the management of excessively massive amounts of structured data without a single point of failure, thereby resulting in the provision of highly available services.

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  • 8 ساعات
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Getting started with Azure Cosmos DB

Getting started with Azure Cosmos DB

In this 1 hour long project-based course, we will learn to create an Azure Cosmos db account. We will learn to create databases, containers and create documents. We will also learn to perform queries, implement global distribution where the database can be replicated globally bringing it closer to the users wherever they are and finally we will learn to implement data migration where we will learn to transfer data from the Azure SQL database to the cosmos DB container.
Prior knowledge of cosmos db is not necessary but being familiar with the nosql concepts is recommended.

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  • 2 ساعات
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Developing Cloud Native Applications

Developing Cloud Native Applications

Do you want to learn about developing applications that are cloud native right from conception to implementation? In this course, you’ll begin with some crucial cloud concepts such as Cloud Native Applications, CNCF and Hybrid Cloud. You will dive into specific tools and techniques for developing cloud native apps. You’ll then learn how to use CLI to develop, test and deploy applications for IBM Cloud with the use of Node.js . You will further use DevOps to maintain application development using Web IDE features, Git repository and Delivery Pipeline.

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  • 18 ساعات
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Data Manipulation at Scale: Systems and Algorithms

Data Manipulation at Scale: Systems and Algorithms

Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. Extracting knowledge from large, heterogeneous, and noisy datasets requires not only powerful computing resources, but the programming abstractions to use them effectively.

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  • 20 ساعات
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Create Your First NoSQL Database with MongoDB and Compass

Create Your First NoSQL Database with MongoDB and Compass

In this Guided Project you will create a MongoDB database and collection to store blog posts, and optimize it using indexes, while having an overview of some of the basic commands, in order to learn the basics of NoSQL document databases structure, the MongoDB shell and the usage of the powerful MongoDB Compass GUI to manage, inspect and optimize a MongoDB database.

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  • 2 ساعات
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NoSQL systems

NoSQL systems

Welcome to the specialization course of NoSQL Systems. This course will be completed on six weeks, it will be supported with videos and exercises that will allow you to identify the differences between the relational and NoSQL databases. As part of these alternative technologies the student will learn the main characteristics and how to implement the typical NoSQL databases, such as Key-value, columnar, document and graph.

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  • 9 ساعات
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Working with Amazon DynamoDB using Python & Boto3

Working with Amazon DynamoDB using Python & Boto3

In this 2-hours long project, we will look at how to work with DynamoDB, a fully managed NoSQL Database provided by Amazon Web Services (AWS) using Python & Boto3. We will look at how to generate credentials to programmatically access AWS resources. We will then look at how to create a DynamoDB Table and load data in it. We will then move on to how to perform CRUD operations in DynamoDB which include Create new records, Reading, updating and deleting existing records.

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  • 3 ساعات
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Working with Big Data

Working with Big Data

By the end of this project, you will set up an environment for Big Data Development using Visual Studio Code, MongoDB and Apache Spark. You will then use the environment to process a large dataset from NOAA showing hourly precipitation rates for a ten year period from the state of Wisconsin.
MongoDB is a widely used NoSQL database well suited for very large datasets or Big Data. It is highly scalable and adaptable as well. Apache Spark is used for efficient in-memory processing of Big Data.

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  • 3 ساعات
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IBM Data Engineering

IBM Data Engineering

Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months. Data engineering is building systems to gather data, process and organize raw data into usable information.

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Data Engineering Capstone Project

Data Engineering Capstone Project

Showcase your skills in this Data Engineering project! In this course you will apply a variety of data engineering skills and techniques you have learned as part of the previous courses in the IBM Data Engineering Professional Certificate. You will demonstrate your knowledge of Data Engineering by assuming the role of a Junior Data Engineer who has recently joined an organization and be presented with a real-world use case that requires architecting and implementing a data analytics platform. In this Capstone project you will complete numerous hands-on labs.

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  • 13 ساعات
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PostgreSQL for Everybody

PostgreSQL for Everybody

Across these four courses, you’ll learn how to use the PostgreSQL database and explore topics ranging from database design to database architecture and deployment. You’ll also compare and contrast SQL and NoSQL approaches to database design. The skills in this course will be useful to learners doing data mining or application development.

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Database Architecture, Scale, and NoSQL with Elasticsearch

Database Architecture, Scale, and NoSQL with Elasticsearch

In this fourth and final course in PostgreSQL for Everybody, learners will explore database architectures, CRUD operations and how ACID requirements are implemented in PostgreSQL. Learners will compare how to scale SQL and NoSQL database services and build NoSQL applications using ElasticSearch.

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Database systems

Database systems

This specialized program is aimed at computer people who want to enter the field of information systems and learn their different types of requirements, architectures, performance, techniques and tools so you can know when to use business intelligence, data mining, data science, databases , databases in memory or big data in order to have reliable, maintainable and scalable data intensive systems.

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Data Science at Scale

Data Science at Scale

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data.

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Database Architecture, Scale, and NoSQL with Elasticsearch

Database Architecture, Scale, and NoSQL with Elasticsearch

In this final course, you will explore database architecture, PostgreSQL, and various scalable deployment configurations. You will see how PostgreSQL implements basic CRUD operations and indexes, and review how transactions and the ACID (Atomicity, Consistency, Isolation, Durability) requirements are implemented. You’ll learn to use Elasticsearch NoSQL, which is a common NoSQL database and a supplement to a relational database to high-speed search and indexing.

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  • 10 ساعات
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IBM Full Stack Software Developer

IBM Full Stack Software Developer

Prepare for a career in the high-growth field of software development. In this program, you’ll learn in-demand skills and tools for front-end, back-end, and cloud native application development to get job-ready in less than 4 months. Full stack refers to the end-to-end computer system application, including the front end and back end coding. Cloud native development refers to developing a program designed to work on cloud architecture. The flexibility and adaptability that full stack and cloud native developers provide make them highly sought after in this digital world.

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Guided Project: Get Started with Cloudant NoSQL Database

Guided Project: Get Started with Cloudant NoSQL Database

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Data Engineering Capstone Project

Data Engineering Capstone Project

This Capstone Project is designed for you to apply and demonstrate your Data Engineering skills and knowledge in SQL, NoSQL, RDBMS, Bash, Python, ETL, Data Warehousing, BI tools and Big Data.

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