This report identifies and examines six key technologies that are transforming fundamental financial market infrastructure: (i) distributed ledger technology and blockchain, (ii) artificial intelligence, (iii) big data analytics, (iv) cloud computing, (v) enhanced cybersecurity technologies, and (vi) (open) application programming interface.
En este manual dedicado a Access 2010, el reconocido programa de creacion y gestion de bases de datos de la suite de programas Office 2010, se estudia en profundidad el uso de practicamente todas las posibilidades que ofrece esta aplicacion para anadir y combinar distintos tipos de datos para crear formularios, informes, consultas, interrelacionar la informacion que se ha ido almacenando y construir bases de datos atractivas y profesionales.
Access 2010, el programa gestor de bases de datos de Microsoft, es una herramienta de diseno e implementacion de aplicaciones de bases de datos que se puede utilizar para llevar a cabo seguimientos de informacion relevante.
Office 365 erlaubt durch seine Anwendungsschnittstellen und das Zusammenspiel mit Azure das relative leichtgewichtige Erstellen von Apps und Integrationen von Drittanbieterlösungen.
- Von der Planung bis zur fertigen Datenbank- Abfrage- und Auswertungstechniken- Formulare und Berichte- Mit praxisnahen Tipps und Beispielen zum DownloadLernen Sie Access von Grund auf verstehen und sicher nutzen!
Access 2016: Dieses Buch richtet sich an Access 2016 Neulinge, die mit einer vorhandenen Datenbank arbeiten oder neue kleine Datenbanken erstellen möchten.
Leverage the power of PostgreSQL 11 to build powerful database and data warehousing applicationsKey FeaturesMonitor, secure, and fine-tune your PostgreSQL 11 databaseLearn client-side and server-side programming using SQL and PL/pgSQLDiscover tips on implementing efficient database solutionsBook DescriptionPostgreSQL is one of the most popular open source database management systems in the world, and it supports advanced features included in SQL standards.
Master the capabilities of PostgreSQL 11 to efficiently manage and maintain your databaseKey FeaturesMaster advanced concepts of PostgreSQL 11 with real-world datasets and examplesExplore query parallelism, data replication, and database performance while working with larger datasetsExtend the functionalities of your PostgreSQL instance to suit your organization's needs with minimal effortBook DescriptionThis second edition of Mastering PostgreSQL 11 helps you build dynamic database solutions for enterprise applications using the latest release of PostgreSQL, which enables database analysts to design both the physical and technical aspects of the system architecture with ease.
Solve all big data problems by learning how to create efficient data modelsKey FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook DescriptionModeling and managing data is a central focus of all big data projects.
Develop robust, Scala-powered projects with the help of machine learning libraries such as SparkML to harvest meaningful insightKey FeaturesGain hands-on experience in building data science projects with Scala Exploit powerful functionalities of machine learning librariesUse machine learning algorithms and decision tree models for enterprise appsBook DescriptionScala, together with the Spark Framework, forms a rich and powerful data processing ecosystem.
Use Microsoft SQL Server 2019 to implement, administer, and secure a robust database solution that is disaster-proof and highly availableKey FeaturesExplore new features of SQL Server 2019 to set up, administer, and maintain your database solution successfullyDevelop a dynamic SQL Server environment and streamline big data pipelinesDiscover best practices for fixing performance issues, database access management, replication, and securityBook DescriptionSQL Server is one of the most popular relational database management systems developed by Microsoft.
Solve all big data problems by learning how to create efficient data modelsKey FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook DescriptionModeling and managing data is a central focus of all big data projects.
Build Next-Generation In-Database Predictive Analytics Applications with Oracle Data Miner If you have an Oracle Database and want to leverage that data to discover new insights, make predictions, and generate actionable insights, this book is a must read for you!
Secure your Oracle Database 12c with this valuable Oracle support resource, featuring more than 100 solutions to the challenges of protecting your dataAbout This BookExplore and learn the new security features introduced in Oracle Database 12c, to successfully secure your sensitive dataLearn how to identify which security strategy is right for your needs - and how to apply itEach 'recipe' provides you with a single step-by-step solution, making this book a vital resource, delivering Oracle support in one accessible placeWho This Book Is ForThis book is for DBAs, developers, and architects who are keen to know more about security in Oracle Database 12c.
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book.
Theres a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered.
Theres a lot of information about big data technologies, but splicing these technologies into an end-to-end enterprise data platform is a daunting task not widely covered.
