Dataconomy

APRIL 18, 2022

Data as a service (DaaS) is a data management approach that uses the cloud to offer storage, integration, processing, and analytics capabilities through a network connection. The DaaS architecture is based on a cloud-based system that supports Web services and service-oriented architecture (SOA).

SOA 67

SOA Web Services Architecture Storage 67

CIO Business Intelligence

OCTOBER 25, 2023

This approach goes a long way toward explaining how Amazon was able to externalize its computing infrastructure — first to Merchant.com, the company’s ecommerce-as-a-service platform for retailers to build their own online stores, and then to Amazon Web Services, a broader offering that has since taken a life of its own.

Strategy 137

Strategy Software Development Policies Software 137

CTOvision

MARCH 13, 2015

This support enables interoperability with leading commercial Hadoop offerings, such as IBM InfoSphere® BigInsights™, Cloudera, Apache, Hortonworks, and Amazon Web Services Elastic Map-Reduce, along with popular analytic data stores, including IBM DB2® BLU and SAP HANA. The Cognos platform supports Big SQL, Apache Hive, ODBC and JDBC.

Business Intelligence 150

Business Intelligence IBM SOA Analysis 150

Trends in the Living Networks

MAY 9, 2011

Evolving technology architecture. Further squeezing the market, custom software, packaged applications, and software as a service (SaaS) are now available to solve business problems once addressed with labor-based services. One important technology transformation involves the construction of information architecture.

SAP 126

SAP SOA Architecture Applications 126

All Things Distributed

APRIL 27, 2011

To our shareowners: Random forests, naïve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks. Look inside a current textbook on software architecture, and youll find few patterns that we dont apply at Amazon.

SOA 142

SOA Storage Architecture Cloud 142

CTOvision

FEBRUARY 4, 2015

Implementing an Enterprise Data Hub — Technical perspectives for implementing enterprise data hub architectures, converged analytics for workflow optimization, and the essential role of open standards and frameworks to ensure continuous innovation. Closing RemarksWebster Mudge. Senior Director of Technology Solutions, Cloudera.

Fractional CTO 150

Fractional CTO CTO CTO Hire Big Data 150

CTOvision

JANUARY 18, 2015

Implementing an Enterprise Data Hub — Technical perspectives for implementing enterprise data hub architectures, converged analytics for workflow optimization, and the essential role of open standards and frameworks to ensure continuous innovation. Closing RemarksWebster Mudge. Senior Director of Technology Solutions, Cloudera.

Program Management 150

Program Management Fractional CTO CTO Programming 150