Resources

Whitepapers & and Technical Resources


Evaluating Cloud Data Pipeline Services: Amazon AWS, Google & Microsoft

This report from Gigaom Research reviews the major cloud data pipeline services from the big three cloud providers and look at each one's commonalities and unique capabilities. Tools include: Azure Data Factory, AWS Glue, AWS Data Pipeline, GCP Dataflow and GCP Cloud Data Fusion. The report will also explores how far the out-of-the-box functionality will take you, and how to extend that functionality where necessary, with data source connectivity.

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Data Pipeline Strategies for Modern Data Warehousing

The process of aggregating data has traditionally centered on bulk/batch data movement and ETL processing. However, as the volume and velocity of data increase, conventional ETL processes start to break down. In recent years, IT teams and organizations worldwide have turned to modern data pipelines to solve these challenges. With special guest Forrester Analyst Noel Yuhanna.

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Effective Strategies to Reduce SaaS Churn

With the widespread adoption of cloud infrastructure and no shortage of innovative software applications populating the market, customers can easily drop a subscription to any application that falls short of their expectations. This technical brief focuses on four SaaS integration strategies to boost customer adoption/retention and reduce SaaS churn.

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Solving Data Fragmentation Challenges With Embedded Data Virtualization

As organizations shift to cloud technologies, data has become increasingly decentralized. Embedded technologies that directly augment existing integration, processing, and analytics tooling are helping organizations deploy tactical solutions to overcome common data fragmentation challenges. With special guest Forrester Analyst Noel Yuhanna.

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Analytics & Data Sources: Connectivity Is Just The Beginning

In the world of data mangement, analytics and integration, connectivity is just table stakes. In today's data-driven business environment, fitting omni-structured data and disparate applications into a consistent data API makes comprehensive integration, and insights achievable. This webinar is led by guest GigaOm Analyst Andrew Brust.

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API Enablement & Microservices for Database Access

A focus in IT modernization is the support of agile strategies that offer more pragmatic and flexible delivery of resources across an enterprise. Organizations are adopting APIs & Microservices for database access, to allow for greater performance, dependability, and scalability.

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Data APIs: Gateway to Data Driven Operation & Digital Transformation

In a recent report from Gigaom Research, Lead Analyst Andrew Brust dives deep into the challenge of fragmented organizational data. Bringing more than 25 years of experience as a CTO, analyst, research director and market strategist, Brust peels back the layers on crucial topics for anyone facing integration challenges.

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Key Considerations for Connectivity in a New World of Data

Successful organizations must master connectivity to colossal volumes and varieties of data sources located everywhere to remain relevant. Windows of opportunity close quickly. Agile connectivity is essential to thrive in the digital era. This paper from Impact Analytics founder, Jen Underwood discusses the current state of connectivity and shares key data connector selection criteria.

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Pragmatic API Integration: from SDKs to Data Drivers

Developers facing integration challenges have many architectural options to consider. This solution brief explores several of the most common approaches to integration and provides an overview of the architectural benefits of using standards-based drivers to simplify integration and speed solution delivery.

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SQL Abstraction for NoSQL Databases

SQL is the lingua franca of data access. SQL-based drivers based on established data standards like ODBC, JDBC, and ADO.NET provide a powerful and ubiquitous bridge between NoSQL and modern and legacy applications. This solution brief highlights various techniques employed in providing SQL access to NoSQL data.

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Live Data Integration vs. Data Replication

Data drives most critical functions across modern organizations, from logistics and operations to marketing, sales, strategy and more. In this guide, we give you a quick but thorough rundown of the benefits and tradeoffs of both live data integration and data replication.

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