What Is Data Profiling In Informatica
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Informatica Solutions and Data Integration
"Informatica Solutions and Data Integration" "Informatica Solutions and Data Integration" is a comprehensive guide designed for data professionals who seek to master the intricacies of Informatica's industry-leading platform. Spanning foundational platform architecture, complex integration patterns, and state-of-the-art advancements, this book delivers an authoritative exploration of Informatica’s extensive product suite and ecosystem. Readers are introduced to architecture fundamentals, high-availability configurations, service-oriented integrations, and advanced security frameworks, providing them with the essential knowledge to architect robust, scalable, and secure data integration solutions. Structured into carefully curated chapters, the book delves into advanced data integration techniques such as ETL, ELT, event-driven and streaming workflows, and metadata-driven orchestration. It further highlights critical aspects of data quality, master data management, and tight alignment with data governance frameworks. The coverage extends to modern challenges including multi-cloud connectivity through Informatica Intelligent Cloud Services, big data integrations with Hadoop and Spark, and strategies for real-time analytics and monitoring, emphasizing best practices for performance, compliance, and operational excellence. Looking beyond core integration, "Informatica Solutions and Data Integration" explores automation, observability, and DevOps transformations, underlining the importance of agility in development and operations. The book culminates with visionary topics: embedding AI and machine learning, adopting DataOps, embracing data mesh and data fabric paradigms, and advancing sustainability and community innovation. This resource empowers organizations and technologists to unlock the full potential of Informatica, equipping them to lead in an era of data-driven transformation.
Data Profiling
Author: Ziawasch Abedjan
language: en
Publisher: Morgan & Claypool Publishers
Release Date: 2018-11-08
Data profiling refers to the activity of collecting data about data, i.e., metadata. Most IT professionals and researchers who work with data have engaged in data profiling, at least informally, to understand and explore an unfamiliar dataset or to determine whether a new dataset is appropriate for a particular task at hand. Data profiling results are also important in a variety of other situations, including query optimization, data integration, and data cleaning. Simple metadata are statistics, such as the number of rows and columns, schema and datatype information, the number of distinct values, statistical value distributions, and the number of null or empty values in each column. More complex types of metadata are statements about multiple columns and their correlation, such as candidate keys, functional dependencies, and other types of dependencies. This book provides a classification of the various types of profilable metadata, discusses popular data profiling tasks, and surveys state-of-the-art profiling algorithms. While most of the book focuses on tasks and algorithms for relational data profiling, we also briefly discuss systems and techniques for profiling non-relational data such as graphs and text. We conclude with a discussion of data profiling challenges and directions for future work in this area.
Learn Informatica in 24 Hours
This is a practical step by step hand-on guide to learn and master Informatica. Informatica is widely used ETL tool and provided end to end data integration and management solution. This book introduces Informatica in detail. It provides a detailed step by step installation tutorial of Informatica. It teaches various activities like data cleansing, data profiling, transforming and scheduling the workflows from source to target in simple steps, etc. Here is what you will learn – Chapter 1: Introduction to Informatica Chapter 2: Informatica Architecture Tutorial Chapter 3: How to Download & Install Informatica PowerCenter Chapter 4: How to Configure Client and Repository in Informatica Chapter 5: Source Analyzer and Target Designer in Informatica Chapter 6: Mappings in Informatica: Create, Components, Parameter, Variable Chapter 7: Workflow in Informatica: Create, Task, Parameter, Reusable, Manager Chapter 8: Workflow Monitor in Informatica: Task & Gantt Chart View Examples Chapter 9: Debugger in Informatica: Session, Breakpoint, Verbose Data & Mapping Chapter 10: Session Properties in Informatica Chapter 11: Introduction to Transformations in Informatica and Filter Transformation Chapter 12: Source Qualifier Transformation in Informatica with EXAMPLE Chapter 13: Aggregator Transformation in Informatica with Example Chapter 14: Router Transformation in Informatica with EXAMPLE Chapter 15: Joiner Transformation in Informatica with EXAMPLE Chapter 16: Rank Transformation in Informatica with EXAMPLE Chapter 17: Sequence Transformation in Informatica with EXAMPLE Chapter 18: Transaction Control Transformation in Informatica with EXAMPLE Chapter 19: Lookup Transformation in Informatica & Re-usable Transformation Example Chapter 20: Normalizer Transformation in Informatica with EXAMPLE Chapter 21: Performance Tuning in Informatica ★★★Download Today ~ Free to Read for Kindle Unlimited Subscribers!★★★