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Microbial utilization of the inexhuaustible lignocellulosic biomass for the production of industrial chemicals, liquid fuels, protein-rich feed and food, and preparation of cellulose polymers, is an attractive approach to help meet energy and food demands. Whilst biomass has served as substrate in microbial processes for the production of alcoholic beverages for a long time, it is only recently that broader applications of this material have been envisaged. Hemicellulose-derived sugars have many potential uses in the production of industrial chemicals and solvents. Considerable developments have been made, not only in the improvement of yeast and recombinant bacterial strains, but also in the bioprocessing of these organisms during the last two decades. Although the volume of information available on microbial pentose utilization is increasing, the available literature is mostly scattered. A comprehensive account of recent advances in pentose based bioprocesses is provided along with suggestions for future research. An indispensable volume for graduate students of microbiology, biochemistry, biotechnology and biochemical engineering. The needs of industrial microbiologists, environmental scientists and researchers in the area of carbohydrate utilization and metabolism are also catered for. Industrial organizations involved in developing processes for ethanol and other products from non-conventional sources will also find this volume beneficial.

Bacteria/metabolism
Cellulose
Lignin
Lignocellulose/Biotechnology
MEDICAL/Microbiology
Micro-organismen
Microbial metabolism
Pentosen
Pentoses/Metabolism
Pentoses/metabolism
Stofwisseling

Biotechnology

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Leverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your dataKey Features* Learn to ingest, prepare, manage, and serve data for immediate business requirements* Bring enterprise data warehousing and big data analytics together to gain insights from your data* Develop end-to-end analytics solutions using Azure SynapseBook DescriptionAzure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform. The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features. By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks.What you will learn* Explore the necessary considerations for data ingestion and orchestration while building analytical pipelines* Understand pipelines and activities in Synapse pipelines and use them to construct end-to-end data-driven workflows* Query data using various coding languages on Azure Synapse* Focus on Synapse SQL and Synapse Spark* Manage and monitor resource utilization and query activity in Azure Synapse* Connect Power BI workspaces with Azure Synapse and create or modify reports directly from Synapse Studio* Create and manage IP firewall rules in Azure SynapseWho this book is forThis book is for data architects, data scientists, data engineers, and business analysts who are looking to get up and running with the Azure Synapse Analytics platform. Basic knowledge of data warehousing will be beneficial to help you understand the concepts covered in this book more effectively.

Mathematics

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Social psychology --- Economic policy and planning (general) --- Economic production --- Economic relations. Trade --- Engineering sciences. Technology --- Business policy --- Personnel management --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- innovatiemanagement --- bedrijfseconomie --- e-books --- e-business --- bedrijfssoftware --- B2B (business-to-business) --- bedrijfsautomatisering --- economische politiek --- technologie --- technologische innovatie --- innovaties --- leidinggeven --- strategisch beleid --- informatietechnologie --- informatica management