Tabla de Contenidos: “…Role of Aggregate Reactivity, Binder Composition, and Curing Temperature on the Delayed Ettringite Formation and Associated Durability Loss in Concrete -- 1 Introduction -- 1.1 Project Outline -- 2 Methods -- 3 Results and Discussion -- 3.1 DEF in Concrete -- 3.2 ASR-DEF in Concrete -- 4 Conclusions -- References -- Effect of Blending Alum Sludge and Ground Granulated Blast-Furnace Slag as Cement Replacement to Mitigate Alkali-Silica Reaction -- 1 Introduction -- 2 Methods -- 2.1 Materials -- 2.2 Experimental Protocol -- 3 Results and Discussion -- 3.1 Compressive Strength -- 3.2 ASR-Induced Expansion -- 3.3 Phase Analysis of the Mortars -- 3.4 Microstructural Characteristics and Elemental Analysis -- 4 Conclusions -- References -- Optimisation of Limestone Calcined Clay Cement Based on Response Surface Method -- 1 Introduction -- 2 Methods -- 2.1 Materials -- 2.2 Design of Mixtures -- 3 Mathematical Modelling and Statistical Analysis -- 3.1 ANOVA and Adequacy Checking -- 3.2 Interaction Effects on Response -- 3.3 Response Surface Optimization Analysis -- 4 Conclusion -- References -- Designing Waterborne Protective Coatings Through Manipulating the Nanostructure of Acrylic-Based Nanocomposites -- 1 Introduction -- 2 Methods -- 2.1 Materials -- 2.2 Preparation of Waterborne Acrylic Copolymer, Acrylic-Based Coatings and Coating Films -- 2.3 Characterization -- 3 Results and Discussion -- 3.1 Enhanced UV Protection Through the Formation of an Acrylic-Based Nanocomposite -- 3.2 Enhanced Corrosion Resistance of Acrylic-Alkyd Coating with Worm-Like Nanostructure -- 3.3 Multifunctional Acrylic-PDMS Coating with Spherical-Like Nanostructure -- 4 Conclusion -- 5 Data Availability Statement -- References -- Analysis of Categories That Delay Global Construction Projects -- 1 Introduction -- 2 Literature Review -- 3 Research Method…”

Tabla de Contenidos: “…Creating an IAM policy and role for DMS -- Configuring DMS settings and performing a full load from MySQL to S3 -- Querying data with Amazon Athena -- Hands-on - ingesting streaming data -- Configuring Kinesis Data Firehose for streaming delivery to Amazon S3 -- Configuring Amazon Kinesis Data Generator (KDG) -- Adding newly ingested data to the Glue Data Catalog -- Querying the data with Amazon Athena -- Summary -- Chapter 7: Transforming Data to Optimize for Analytics -- Technical requirements -- Overview of how transformations can create value -- Cooking, baking, and data transformations -- Transformations as part of a pipeline -- Types of data transformation tools -- Apache Spark -- Hadoop and MapReduce -- SQL -- GUI-based tools -- Common data preparation transformations -- Protecting PII data -- Optimizing the file format -- Optimizing with data partitioning -- Data cleansing -- Common business use case transformations -- Data denormalization -- Enriching data -- Pre-aggregating data -- Extracting metadata from unstructured data -- Working with Change Data Capture (CDC) data -- Traditional approaches - data upserts and SQL views -- Modern approaches - Open Table Formats (OTFs) -- Apache Iceberg -- Apache Hudi -- Databricks Delta Lake -- Hands-on - joining datasets with AWS Glue Studio -- Creating a new data lake zone - the curated zone -- Creating a new IAM role for the Glue job -- Configuring a denormalization transform using AWS Glue Studio -- Finalizing the denormalization transform job to write to S3 -- Create a transform job to join streaming and film data using AWS Glue Studio -- Summary -- Chapter 8: Identifying and Enabling Data Consumers -- Technical requirements -- Understanding the impact of data democratization -- A growing variety of data consumers -- How a data mesh helps data consumers…”

“…They made an extraordinary range of films, from The Spy in Black and The Life and Death of Colonel Blimp to A Canterbury Tale and The Red Shoes. …”
Sumario