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Diabetes Melitus Tipe 1 atau defisiensi insulin absolut yang terjadi pada anak saat ini semakin meningkat jumlahnya. Buku Pintar Diabetes Melitus (DM) Tipe 1 ini ditulis dengan harapan semakin meningkatkan pengetahuan masyarakat mengenai DM Tipe 1. Sayangnya di Indonesia, penegakan diagnosis diabetes pada anak ini terlambat dilakukan. Tidak jarang anak yang menderita DM Tipe 1 terdiagnosis saat sudah terjadi penyulit seperti Diabeter Ketoasidosis karena orangtua atau orang di sekitarnya tidak mengetahui tanda awal DM Tipe 1. Oleh karena itu, penting bagi keluarga dan masyarakat di sekitar anak mengetahui tanda klinis DM Tipe 1 dan apa yang harus dilakukan bila menemui kasus tersebut. Buku Pintar Diabetes Melitus Tipe 1 ini terdiri dari 8 Bab yang membahas tentang Materi Umum, Manajemen Diet, Aktivitas Fisik/Olahraga, Gangguan Pertumbuhan, Komplikasi Akut, Komplikasi Kronis, Puasa berkaitan dengan DM Tipe 1, dan Kualitas Hidup Anak dengan DM Tipe 1. Penulis berharap buku ini dapat memberikan manfaat untuk keluarga, volunteer pemerhati DM Tipe 1, dan masyarakat khususnya dalam mempelajari DM Tipe 1 yang jumlah kasusnya semakin kerap dijumpai.
Presents a novel, evidence-based psychological intervention to help therapists manage cognitive and functional deficits in bipolar disorder patients.
This book brings all of the elements of database design together in a single volume, saving the reader the time and expense of making multiple purchases. It consolidates both introductory and advanced topics, thereby covering the gamut of database design methodology ? from ER and UML techniques, to conceptual data modeling and table transformation, to storing XML and querying moving objects databases. The proposed book expertly combines the finest database design material from the Morgan Kaufmann portfolio. Individual chapters are derived from a select group of MK books authored by the best and brightest in the field. These chapters are combined into one comprehensive volume in a way that al...
Enhance Your Resume by Learning SQL. Did You Know? -Knowledge of SQL is an important skill to display on your resume. -With the growth of digital information, Database Administrator is one of the fastest growing careers. -SQL can be learned in hours and used for decades. Learn to script Transact SQL using Microsoft SQL Server. -Create tables and databases -select records -filter -sort -join tables -create views, stored procedures and more. Over 100 examples of SQL queries and statements along with images of results will help you learn T SQL. A special section included in this illustrated guide will help you test your skills and get ahead in the workplace. Now is the time to learn SQL. Click the 'buy button' and start scripting SQL TODAY!
Data Architecture: From Zen to Reality explains the principles underlying data architecture, how data evolves with organizations, and the challenges organizations face in structuring and managing their data. Using a holistic approach to the field of data architecture, the book describes proven methods and technologies to solve the complex issues dealing with data. It covers the various applied areas of data, including data modelling and data model management, data quality, data governance, enterprise information management, database design, data warehousing, and warehouse design. This text is a core resource for anyone customizing or aligning data management systems, taking the Zen-like idea...
You may already have an idea of what Neo4j is and how it works, and maybe you've even played around with some ideas using it. The question now is how you can take your graph project all the way to production-grade. This is what is discussed in this book. The book starts with a brief introduction to Neo4j and its query language, CYPHER, to help readers who are just beginning to explore Neo4j. Then we go straight to the subject in question: how to set up a real life project based on Neo4j, from the proof of concept to an operating production-grade graph database. We focus on methodology, integrations with existing systems, performance, monitoring and security. As experts from the Neo4j communi...
Database Management Systems: Understanding and Applying Database Technology focuses on the processes, methodologies, techniques, and approaches involved in database management systems (DBMSs). The book first takes a look at ANSI database standards and DBMS applications and components. Discussion focus on application components and DBMS components, implementing the dynamic relationship application, problems and benefits of dynamic relationship DBMSs, nature of a dynamic relationship application, ANSI/NDL, and DBMS standards. The manuscript then ponders on logical database, interrogation, and physical database. Topics include choosing the right interrogation language, procedure-oriented langua...
Data mapping in a data warehouse is the process of creating a link between two distinct data models' (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, transform, and load data between databases) developer to a data modeler role. Data Mapping for Data Warehouse Design provides basic and advanced knowledge about business intelligence and data warehouse concepts including real life scenarios that apply the standard techniques to projects across various domains. After reading this book, readers will understand the importance of data mapping across the data warehouse life cycle. - Covers all stages of data warehousing and the role of data mapping in each - Includes a data mapping strategy and techniques that can be applied to many situations - Based on the author's years of real-world experience designing solutions
Cover subtitle: Disruptive technologies for changing the game.
Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second Edition addresses the larger architectural picture of how big data fits within the existing information infrastructure or data warehousing systems. This is an essential topic not only for data scientists, an...