Building Interactive Business Intelligence Dashboards With Google Looker

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Building Interactive Business Intelligence Dashboards With Google Looker
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Author : Helita Br Sitorus
language : en
Publisher: Asadel Publisher
Release Date : 2024-07-07
Building Interactive Business Intelligence Dashboards With Google Looker written by Helita Br Sitorus and has been published by Asadel Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-07 with Business & Economics categories.
Building Interactive Business Intelligence Dashboards with Google Looker: Beginner's Practical Guide Unlock the power of your data and transform it into actionable insights with this beginner-friendly guide to Google Looker. Learn how to connect to diverse data sources, transform raw data into meaningful metrics, and create visually stunning, interactive dashboards that drive informed decision-making. This book is your roadmap to mastering Looker's intuitive interface and powerful features, enabling you to uncover hidden patterns, track key performance indicators, and communicate your findings effectively. Whether you're a business analyst, marketer, or data enthusiast, this practical guide will empower you to harness the full potential of Google Looker and elevate your business intelligence capabilities.
Building Interactive Business Intelligence Dashboards With Google Looker
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Author : Helita Br Sitorus
language : en
Publisher: Asadel Publisher
Release Date : 2024-07-07
Building Interactive Business Intelligence Dashboards With Google Looker written by Helita Br Sitorus and has been published by Asadel Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-07 with Business & Economics categories.
Building Interactive Business Intelligence Dashboards with Google Looker: Beginner's Practical Guide Unlock the power of your data and transform it into actionable insights with this beginner-friendly guide to Google Looker. Learn how to connect to diverse data sources, transform raw data into meaningful metrics, and create visually stunning, interactive dashboards that drive informed decision-making. This book is your roadmap to mastering Looker's intuitive interface and powerful features, enabling you to uncover hidden patterns, track key performance indicators, and communicate your findings effectively. Whether you're a business analyst, marketer, or data enthusiast, this practical guide will empower you to harness the full potential of Google Looker and elevate your business intelligence capabilities.
Business Intelligence With Looker Cookbook
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Author : Khrystyna Grynko
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-05-24
Business Intelligence With Looker Cookbook written by Khrystyna Grynko and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-24 with Computers categories.
Use Looker for visualizing data, data analysis, and reporting, and learn how to connect to your data, build dashboards and reports, and share insights with your team Key Features Explore data visualization, analysis, and reporting with Looker to gain insights from your data Connect to data sources, build dashboards, and create reports to track and share key metrics Share insights with your team to make better business decisions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionLooker is a data analytics and business intelligence platform that allows organizations to explore, analyze, and visualize their data. It provides tools for data modeling, exploration, and visualization, enabling you to gain insights from your data to make informed business decisions. You’ll start with the basics, from setting up your Looker environments to configuring views and models using LookML. As you progress, you’ll delve into more advanced topics, such as navigating data in Explore, tailoring dashboards to your needs, and adding dynamic elements for interactivity. Along the way, you'll gain invaluable troubleshooting skills to tackle common issues and optimize your Looker usage, ensuring a smooth and seamless experience. Furthermore, the book extends your understanding beyond the basics, equipping you with the knowledge you need to develop Looker applications and seamlessly integrate them with other tools and applications. You'll also explore advanced techniques for harnessing Looker's full potential, empowering you to establish data-driven decision-making and innovation within your organization. By the end of this BI book, you'll have gained a solid understanding of how to use Looker to find important information, make tasks easier, and derive important insights.What you will learn Understand Looker's key components, including LookML, data models, and dashboards. Explore Looker's functionality, including custom fields, calculations, and visualizations. Work with Looker dashboards using dynamic elements like links and actions. Use different types of filters for dimensions to create dashboards Develop Looker applications using essential tools and frameworks Explore additional applications for the Looker organization Integrate Looker with other tools using APIs, connectors, and data pipelines Who this book is for If you’re a business analyst, data analyst, or BI developer who wants to get well-versed with the features of Looker, this book is for you. Basic knowledge of business intelligence is required to get started.
Innovations In Corporate Reporting
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Author : Francesca Magli
language : en
Publisher: Springer Nature
Release Date : 2025-02-13
Innovations In Corporate Reporting written by Francesca Magli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Business & Economics categories.
This book analyses the current trends and innovations of corporate reporting, including digitalization, sustainability, and artificial intelligence. Corporate habits and cultural changes have also brought new needs in practice and regulation, both mandatory and voluntary. The book examines national and international regulations and the various types of accounting standards (financial and non-financial). It addresses the journey of financial and non-financial data’s rise in importance, including areas such as sustainability, technology, and simplification, and explores these effects on business. It will be of interest to researchers and students in accounting, corporate reporting, and corporate finance.
Ultimate Big Data Analytics With Apache Hadoop
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Author : Simhadri Govindappa
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-09-09
Ultimate Big Data Analytics With Apache Hadoop written by Simhadri Govindappa and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-09 with Computers categories.
TAGLINE Master the Hadoop Ecosystem and Build Scalable Analytics Systems KEY FEATURES ● Explains Hadoop, YARN, MapReduce, and Tez for understanding distributed data processing and resource management. ● Delves into Apache Hive and Apache Spark for their roles in data warehousing, real-time processing, and advanced analytics. ● Provides hands-on guidance for using Python with Hadoop for business intelligence and data analytics. DESCRIPTION In a rapidly evolving Big Data job market projected to grow by 28% through 2026 and with salaries reaching up to $150,000 annually—mastering big data analytics with the Hadoop ecosystem is most sought after for career advancement. The Ultimate Big Data Analytics with Apache Hadoop is an indispensable companion offering in-depth knowledge and practical skills needed to excel in today's data-driven landscape. The book begins laying a strong foundation with an overview of data lakes, data warehouses, and related concepts. It then delves into core Hadoop components such as HDFS, YARN, MapReduce, and Apache Tez, offering a blend of theory and practical exercises. You will gain hands-on experience with query engines like Apache Hive and Apache Spark, as well as file and table formats such as ORC, Parquet, Avro, Iceberg, Hudi, and Delta. Detailed instructions on installing and configuring clusters with Docker are included, along with big data visualization and statistical analysis using Python. Given the growing importance of scalable data pipelines, this book equips data engineers, analysts, and big data professionals with practical skills to set up, manage, and optimize data pipelines, and to apply machine learning techniques effectively. Don’t miss out on the opportunity to become a leader in the big data field to unlock the full potential of big data analytics with Hadoop. WHAT WILL YOU LEARN ● Gain expertise in building and managing large-scale data pipelines with Hadoop, YARN, and MapReduce. ● Master real-time analytics and data processing with Apache Spark’s powerful features. ● Develop skills in using Apache Hive for efficient data warehousing and complex queries. ● Integrate Python for advanced data analysis, visualization, and business intelligence in the Hadoop ecosystem. ● Learn to enhance data storage and processing performance using formats like ORC, Parquet, and Delta. ● Acquire hands-on experience in deploying and managing Hadoop clusters with Docker and Kubernetes. ● Build and deploy machine learning models with tools integrated into the Hadoop ecosystem. WHO IS THIS BOOK FOR? This book is tailored for data engineers, analysts, software developers, data scientists, IT professionals, and engineering students seeking to enhance their skills in big data analytics with Hadoop. Prerequisites include a basic understanding of big data concepts, programming knowledge in Java, Python, or SQL, and basic Linux command line skills. No prior experience with Hadoop is required, but a foundational grasp of data principles and technical proficiency will help readers fully engage with the material. TABLE OF CONTENTS 1. Introduction to Hadoop and ASF 2. Overview of Big Data Analytics 3. Hadoop and YARN MapReduce and Tez 4. Distributed Query Engines: Apache Hive 5. Distributed Query Engines: Apache Spark 6. File Formats and Table Formats (Apache Ice-berg, Hudi, and Delta) 7. Python and the Hadoop Ecosystem for Big Data Analytics - BI 8. Data Science and Machine Learning with Hadoop Ecosystem 9. Introduction to Cloud Computing and Other Apache Projects Index
Mastering Bigquery
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Author : Robert Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-01-09
Mastering Bigquery written by Robert Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
"Mastering BigQuery: Scalable Analytics on Google Cloud" is an authoritative guide designed to equip readers with the comprehensive skills needed to harness the full potential of Google's BigQuery platform. From setting up your initial environment to executing complex SQL queries and optimizing performance, this book offers a structured approach that caters to both beginners and experienced data professionals. Delve into the intricacies of BigQuery's architecture and discover its serverless capabilities that eliminate infrastructure management while providing robust data processing power. The book navigates through essential topics such as data ingestion, real-time analytics, and advanced features, including machine learning integration. Each chapter is crafted to build systematically on the last, offering insights into best practices for data management, security, and cost-effective operations. With its practical focus and clear explanations, "Mastering BigQuery" provides the tools and knowledge required to transform vast quantities of raw data into actionable intelligence, helping you drive impactful data-driven decisions within your organization.
Data Engineering With Google Cloud Platform
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Author : Adi Wijaya
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-04-30
Data Engineering With Google Cloud Platform written by Adi Wijaya and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-30 with Computers categories.
Become a successful data engineer by building and deploying your own data pipelines on Google Cloud, including making key architectural decisions Key Features Get up to speed with data governance on Google Cloud Learn how to use various Google Cloud products like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream Boost your confidence by getting Google Cloud data engineering certification guidance from real exam experiences Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe second edition of Data Engineering with Google Cloud builds upon the success of the first edition by offering enhanced clarity and depth to data professionals navigating the intricate landscape of data engineering. Beyond its foundational lessons, this new edition delves into the essential realm of data governance within Google Cloud, providing you with invaluable insights into managing and optimizing data resources effectively. Written by a Data Strategic Cloud Engineer at Google, this book helps you stay ahead of the curve by guiding you through the latest technological advancements in the Google Cloud ecosystem. You’ll cover essential aspects, from exploring Cloud Composer 2 to the evolution of Airflow 2.5. Additionally, you’ll explore how to work with cutting-edge tools like Dataform, DLP, Dataplex, Dataproc Serverless, and Datastream to perform data governance on datasets. By the end of this book, you'll be equipped to navigate the ever-evolving world of data engineering on Google Cloud, from foundational principles to cutting-edge practices.What you will learn Load data into BigQuery and materialize its output Focus on data pipeline orchestration using Cloud Composer Formulate Airflow jobs to orchestrate and automate a data warehouse Establish a Hadoop data lake, generate ephemeral clusters, and execute jobs on the Dataproc cluster Harness Pub/Sub for messaging and ingestion for event-driven systems Apply Dataflow to conduct ETL on streaming data Implement data governance services on Google Cloud Who this book is for Data analysts, IT practitioners, software engineers, or any data enthusiasts looking to have a successful data engineering career will find this book invaluable. Additionally, experienced data professionals who want to start using Google Cloud to build data platforms will get clear insights on how to navigate the path. Whether you're a beginner who wants to explore the fundamentals or a seasoned professional seeking to learn the latest data engineering concepts, this book is for you.
Digital Tools Every Manager Needs
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Author : Ahmed Musa
language : en
Publisher: Recorded Books
Release Date : 2024-12-18
Digital Tools Every Manager Needs written by Ahmed Musa and has been published by Recorded Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Business & Economics categories.
Navigate the modern workplace with confidence and efficiency using Digital Tools Every Manager Needs. This essential guide introduces the best tools and technologies that streamline tasks, improve team collaboration, and drive productivity in today’s fast-paced digital environment. Discover platforms for project management, communication, time tracking, data analysis, and remote work that empower managers to lead smarter. Learn how to implement tools like Slack, Trello, Asana, Zoom, and others to optimize workflows, keep teams aligned, and achieve better results. With practical tips, real-world examples, and easy-to-follow recommendations, this book equips managers at all levels to harness the power of technology to simplify processes and boost team success. Perfect for team leaders, entrepreneurs, and executives, Digital Tools Every Manager Needs is your roadmap to working smarter, staying organized, and thriving in the digital age.
Cto Online
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Author : Andre Buren
language : en
Publisher: Mijnbestseller.nl
Release Date : 2023-12-31
Cto Online written by Andre Buren and has been published by Mijnbestseller.nl this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-31 with Technology & Engineering categories.
The role of CTO is evolving fast, thinking strategically about technology and business opportunities. As we navigate this new world, we face the challenge of harnessing the immense potential of new online technologies for our business. You will need to wear multiple hats, including innovator, business leader, and most of all change agent. In these exhilarating yet turbulent times, being a tech leader means having the vision to steer your ship through stormy seas of disruption and guide it towards the tranquil waters of progress. It requires the foresight to anticipate what lies ahead and the adaptability to embrace change. It calls for the audacity to take risks and the humility to learn from mistakes. CTO.online is your comprehensive guide covering all the expertise necessary for modern-day online tech leadership. It provides actionable guidance, advice, practical tips, and perspectives from firsthand experience and industry leaders. The book includes contributions from renowned tech leaders and thinkers, offering diverse perspectives on technology leadership.
Business Intelligence And Data Analysis In The Age Of Ai
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Author : Arshad Khan
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2025-03-01
Business Intelligence And Data Analysis In The Age Of Ai written by Arshad Khan and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-01 with Computers categories.
Unlock data-driven decision-making with Business Intelligence and Data Analysis in the Age of AI. This guide combines traditional BI with AI’s transformative power to help professionals and newcomers excel in the data era. Whether you're a seasoned professional or new to BI, this book provides actionable strategies to navigate the complexities of modern data analysis. Embark on this illuminating journey to master the tools, strategies, and ethical considerations that define modern business intelligence and AI. FEATURES • BI Fundamentals: Master analytics processes and tools • Ethical and Regulatory Challenges: Navigate governance, security, privacy, and ethical frameworks • BI Tools: Learn the power of tools like R, SQL, Python, and data manipulation techniques • Visualize and Predict: Learn data visualization and predictive analytics to forecast trends and drive innovation • Embrace the Future: Discover how AI transforms BI, unlocking new opportunities and navigating emerging risks.