Leverage Jira's powerful task management and workflow features to better manage your business processes
The book covers all major applications of Jira, which are Jira Software, Jira Core, Jira Service Desk.
Configure project workflows and the fields that will be used in the project with the help of Jira's features
Create tickets for issues and manage your projects using the Jira software
Jira is an issue tracker and project management system. With their latest release, the Jira team has now expanded their user base to agile teams as well as business teams. This book provides a comprehensive explanation covering all major components of Jira, including Jira Software, Jira Core, and
Jira Service Desk.
This book starts with an introduction to Jira's unique features and how it can be used as an issue-tracking tool. It will then teach you about how a new project is created by a Jira administrator, what responsibilities there are, and using correct and relevant schemes in your project. You will then
learn how to configure project workflows and fields for project screens.
You will understand the various permissions used in projects and the importance of project roles in Jira. Then, the book talks about the concepts of versions acting as milestones and using components when handling issues in your projects. It will then focus on analysing data using built-in reports
and creating dashboards in Jira.
At the end, it will discuss various best practices for users as well as project managers or project administrators.
What you will learn
Implement Jira as a project administrator or project manager
Get familiar with various functionalities of Jira
Configure projects and boards in your organisation's Jira instance
Understand how and when to use components and versions in your projects
Manage project configurations and Jira schemes
Learn the best practices to manage your Jira instance
Who this book is for
This book will be especially useful for project managers but it's also intended for other Jira users, including developers, and any other industry besides software development, who would like to use Jira for project management.
Develop robust, Scala-powered projects with the help of machine learning libraries such as SparkML to harvest meaningful insight
Gain hands-on experience in building data science projects with Scala
Exploit powerful functionalities of machine learning libraries
Use machine learning algorithms and decision tree models for enterprise apps
Scala, together with the Spark Framework, forms a rich and powerful data processing ecosystem. Modern Scala Projects is a journey into the depths of this ecosystem. The machine learning (ML) projects presented in this book enable you to create practical, robust data analytics solutions, with an
emphasis on automating data workflows with the Spark ML pipeline API. This book showcases or carefully cherry-picks from Scala's functional libraries and other constructs to help readers roll out their own scalable data processing frameworks. The projects in this book enable data practitioners
across all industries gain insights into data that will help organizations have strategic and competitive advantage.
Modern Scala Projects focuses on the application of supervisory learning ML techniques that classify data and make predictions. You'll begin with working on a project to predict a class of flower by implementing a simple machine learning model. Next, you'll create a cancer diagnosis classification
pipeline, followed by projects delving into stock price prediction, spam filtering, fraud detection, and a recommendation engine.
By the end of this book, you will be able to build efficient data science projects that fulfil your software requirements.
What you will learn
Create pipelines to extract data or analytics and visualizations
Automate your process pipeline with jobs that are reproducible
Extract intelligent data efficiently from large, disparate datasets
Automate the extraction, transformation, and loading of data
Develop tools that collate, model, and analyze data
Maintain the integrity of data as data flows become more complex
Develop tools that predict outcomes based on “pattern discovery”
Build really fast and accurate machine-learning models in Scala
Who this book is for
Modern Scala Projects is for Scala developers who would like to gain some hands-on experience with some interesting real-world projects. Prior programming experience with Scala is necessary.