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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.

The Right Way to Get Started with PostgreSQL

In this contributed article, Igor Levshin, Director of Content of Postgres Professional, suggests that as with all database systems, anyone just starting to learn about PostgreSQL can benefit from a clear, incremental approach to developing a strong skillset. This article outlines such an approach, which is also developed in far more detail – including step- by-step instructions and code samples – in “Postgres. The First Experience,” a free, downloadable book by Pavel Luzanov, Egor Rogov, and Igor Levshin.

Instaclustr Including PostgreSQL in Managed Data Platform – Now in Public Preview

Instaclustr, delivering reliability at scale through its fully managed platform for open source data technologies, announced the addition of PostgreSQL to its Managed Platform, now available in public preview for Instaclustr customers. Managed PostgreSQL offers complete database management and optimization, along with comprehensive support and monitoring backed by Instaclustr’s team of PostgreSQL experts.

SingleStore Research Highlights Spike in Data Demands Amid COVID-19 Pandemic

Many aspects of life and work stopped or slowed down significantly during the pandemic. But new research from SingleStore, the unified database for fast analytics, indicates that data requirements in the age of COVID-19 have been greater than ever. This research is based on a 500-person survey of IT professionals that Propeller Insights conducted in January 2021 on behalf of SingleStore.

Data Evolution in the Cloud: The lynchpin of competitive advantage

This report from our friends over at Snowflake reveals the extent to which the data sharing economy is powering business growth and how organizations are leveraging data from a range of sources to drive innovation, create better customer experiences, and meet regulatory requirements.

NoSQL vs SQL: Key Differences

In this contributed article, Alex Williams, Writer/Researcher at Hosting Data UK, indicates that NoSQL and SQL databases greatly differ on many points. One is not better than the other, but just like any technology, eventually, developers will have their preferences. Luckily, there are numerous options for database selection for both SQL and NoSQL databases.

The 6 Types of Data Everybody Should Know to Avoid Confusion

Everybody tosses the word “data,” but few actually know what it actually means and does. MountainTop Data CEO Sky Cassidy explains the 6 different kinds of data everyone should know something about in order to avoid confusion.

Data Platforms – A journey. The Yesteryears, Today, and What Lies Ahead

In this contributed article, Darshan Rawal, Founder and CEO of Isima, explains how the data ecosystem has exploded in the last decade to deal with multi-structured data sources. But the fundamental architecture of using queues, caches, and batches to support Enterprise Data Warehousing and BI hasn’t. This article looks at the architectural styles of the three eras of data management – pre-big data, the open-source revolution, and the cloud-native version. It will be a dive into trade-offs of each and what lies ahead. You’ll get a techno-strategic best practices of architecting data platforms as they pave the path to recovery for your organization.

Analyze-then-Store: The Journey to Continuous Intelligence – Part 6

This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning 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. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.

Analyze-then-Store: The Journey to Continuous Intelligence – Part 5

This multi-part article series by our friends at Swim is intended for data architects and anyone else interested in learning 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. This article series places continuous intelligence in an architectural context, with reference to established technologies and use cases in place today.