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eBook: Unlock Complex and Streaming Data with Declarative Data Pipelines 

Our friend, Ori Rafael, CEO of Upsolver and advocate for engineers everywhere, released his new book “Unlock Complex and Streaming Data with Declarative Data Pipelines.” Ori discusses why declarative pipelines are necessary for data-driven businesses and how they help with engineering productivity, and the ability for businesses to unlock more potential from their raw data. Data pipelines are essential to unleashing the potential of data and can successfully pull from multiple sources.

Streamlining Data Evolution in a Rapidly Changing World

In this contributed article, Adam Glaser from Appian believes that in a fast-changing, digital-driven world, having access to the right data at the right time is crucial. That is why, as data evolves, it must be brought together in a reliable and efficient way that creates a powerful asset, not a compliance challenge. 

Striim Announces Striim Cloud, the Unified Real-time Data Streaming and Integration SaaS

Striim, Inc. announced the general availability of Strim Cloud, a fast way for customers to deliver real-time data and insights to power business intelligence and decision-making to meet the needs of the digital economy. Striim Cloud is a fully-managed software-as-a-service (SaaS) platform for real-time streaming data integration and analytics.

The Next-Level of Operationalizing Machine Learning: Real-time Data Streaming into Data Science Environments

In this contributed article, Adi Hirschtein, VP Product at Iguazio, discusses the next-level of operationalizing machine learning: real-time data streaming into data science environments. New Stack’s Streaming Data and the Future Tech Stack report (2019) show a 500% percent increase in the number of companies processing data in real-time for AI/ML use cases. And experts posit a more massive increase in the number of companies following this trend as we approach 2021.

Swim Releases New Platform for Managing Continuous Intelligence at Scale

Swim, the developer of the industry’s first open core platform for continuous intelligence at scale, today announced Swim Continuum 4.0, the newest release of its flagship product. Providing enterprises with a live window into the current state of their business by concurrently processing and analyzing streaming and contextual data, Swim Continuum 4.0 offers a comprehensive view of all aspects of operating and managing continuous intelligence applications at scale through a single pane of glass experience.

Analyze-then-Store: The Journey to Continuous Intelligence

In this technical blog for data architects by our friends over at Swim, we learn how to design modern real-time data analytics solutions. It explores key principles and implications of event streaming and streaming analytics, and concludes that the biggest opportunity to derive meaningful value from data – and gain continuous intelligence about the state of things – lies in the ability to analyze, learn and predict from real-time events in concert with contextual, static and dynamic data.

Video Highlights: What is Streaming Data Integration?

In this “Whiteboard Wednesday” video, Steve Wilkes, founder and CTO of Striim, takes a look at Streaming Data Integration – what it is, what it is used for, and most importantly, what is needed set it up and manage it.

Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures

This new white paper from Striim, “Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures,” is a timely guide for enterprise decision makers who have accepted the benefits of moving to the cloud: elastic scalability, agility to launch innovative solutions quickly using modern technologies, better cash flow management, and lower expenses with a pay-as-you-go model, just to name a few.

Furnace Serverless Apps Run Across Azure, GCP & AWS Natively, Scale Massively

Furnace Ignite Ltd announced that Furnace, the recently launched open source, Serverless, data streaming platform, now runs natively on Microsoft Azure and Google Cloud Platform, adding to the previously announced Amazon Web Services (AWS). Furnace helps organizations address their ‘Big Data’ challenges, using Serverless architecture across multiple Cloud platforms to easily leverage data from multiple sources, breaking through “Cloud vendor lock-in” impedances.

Apache Pulsar 2.0 Brings Enterprise-Class Scale, Speed and Functionality to Streaming Data Processing

Streamlio, the intelligent platform for fast data, announced availability of Apache Pulsar 2.0, a significant new release of the streaming messaging solution at the core of the Streamlio platform. Building on the proven Apache Pulsar foundation, this release adds new capabilities to Apache Pulsar that support easy development and deployment of modern data-driven applications.