Нирсбергер, Генри М. Данные в облаке: концептуальная модель данных для Databa

Data In The Cloud: A Conceptual Data Model For Database Services (Visual Cloud Computing)

Opis:

At last … a book that unveils a visual model (pictures worth thousands of words) for summarizing, comparing, and contrasting the exciting and mind-boggling database services now available in AWS -- the cloud. Perhaps the first such effort and most efficient path for rapidly coming up to speed on database services … “one-stop shopping” for acquiring a detailed overview and lifting the fog from ’s Relational Database Service (RDS), Aurora, Neptune, DocumentDB, Redshift, DynamoDB, ElastiCache, and Quantum Ledger Database (QLDB). This visual tour takes the form of a “conceptual data model.” What’s a data model? You, the curious reader, likely are (or aspire to be) an IT data professional, and you understand that a data model is primarily used for designing databases. But a conceptual data model can serve as a mind map for envisioning fundamental concepts (i.e., entities and relationships) for any complex subject area, not only for a database, but also for understanding the complexities of cloud database services!Why is this book needed? Because your insatiable C-level executives, thrilled with CAPEX and OPEX cost savings resulting from successfully migrating many web servers and app servers to AWS, have dictated (or soon will decree) that your database servers must now also migrate to live alongside their web and app servers in AWS. They want more cost reductions! You’ll need to cram to quickly understand the available options for migrating your existing relational databases to AWS. But … as a data professional, you also appreciate that times are changing for relational database technology. Stunning database services are now also available for implementing non-relational (NoSQL) solutions: •Graph databases using NoSQL graph query languages (GQLs) for building complex “recommender engines”•Document database engines for storing data as documents (without table structures) compatible with MongoDB•In-memory databases with clusters of cache servers delivering astounding millisecond response times for global apps, supporting tens of thousands of concurrent users•Multimaster database engines (serverless) with auto synching between database replicas for improved high availability, latency, and world-wide customer access•Columnar database engines with massively parallel processing (MPP) vastly improving latency for business intelligence (BI) and data warehouse (DW) apps•Ledger databases exploiting blockchain concepts for mitigating cyber-security threats to data integrityYour engineering leaders and CxO’s returning from cloud conferences are now keenly aware of these alternative paradigms, and ask how quickly these can be exploited for competitive advantage. As usual, they want details … you’ll need to do more cramming! But you will find that no Cliffs Notes or no Rosetta Stone is yet available among the dozens of robust technical AWS documents (thousands of pages) covering the impressive array of database services. So … here’s the first attempt at publishing a conceptual data model for database services. Herein you will enjoy numerous intuitive entity-relationship diagrams (ERDs), the result of an earnest effort to demystify cloud database platform complexities; RDS, Aurora, and Redshift for migrating relational databases (Oracle DB, Microsoft SQL Server, MySQL, MariaDB, PostgreSQL); Neptune for implementing graph databases (Gremlin, SPARQL); DocumentDB for document databases (MongoDB); DynamoDB for serverless, multimaster databases; ElastiCache for in-memory cache clusters (Memcached, Redis); QLDB for ledger databases. This is a must-read for IT professionals who need to quickly understand options for developing new AWS database apps or migrating existing databases to AWS (data architects, DBAs, app developers, etc.). Database educators, instructors, and teachers involved in developing courseware will also benefit.

Okładka: Paperback

Liczba stron:193

Autor:Nirsberger, Henry M.

Język: English: Published; English: Original Language; English

Data wydania: 2020-01-15

Waga: 1.27 gram

Wysokość: 0.5 cm

Szerokość: 8.5 cm

Długość: 11 cm

UWAGA: Kupując produkt na tej aukcji zgadzasz się na wydłużony termin realizacji wysyłki (10-14 dni roboczych). Podany towar pochodzi z zagranicznego magazynu, stąd wydłużony czas realizacji który podany jest obok.