Apache Kafka6 min Read

In a recent SingleStore webcast, we discussed how modern enterprises can easily adopt new data management tools to manage data size, growth…
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Artificial Intelligence6 min Read

The SingleStore maturity framework for data warehousing in the age of artificial intelligence depicts the journey of digital transformation. Consisting of three epics and seven maturation stages that symbolize increasing strategic value, the framework outlines the transformation from descriptive analytics to predictive analytics to prescriptive analytics for modern organizations and enterprises. In this blog post, we characterize each epic and corresponding stages of maturation in detail. Data…
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Cloud7 min Read

Experience teaches us that when loading data into a database, in whatever form ― normalized, denormalized, schema-less, hierarchical, key-value, document, etc ― the devil is always in the data load. For enterprise companies in the real-time economy, every second saved means improved efficiency, productivity, and profitability. Thankfully, SingleStore makes your enterprise data fast to load and easy to access. You can spin up a SingleStore cluster in minutes and load data very quickly using…
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Data Warehouse2 min Read

In the age of manual decision making based on predictable data formats, data feeds, and batch processing times, enterprise businesses stayed current with ad hoc analyses and periodic reports. To generate analyses and reports, businesses relied on the traditional data warehouse. Using extraction, transformation, and load batch processes, the traditional data warehouse standardized disparate data into normalized schemas and pre-computed cubes. With the data shaped into pre-configured dimensions…
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Amazon1 min Read

SingleStore DB 5.7 introduces a new pipeline extractor for Amazon Simple Storage Service ( S3 ). Many modern applications interface with Amazon S3 to store data objects into buckets up to 5TB providing a new modern approach for today’s enterprise data lake. Without analytics, the data is just a bunch of files For modern enterprise data warehouses, the challenge is to harness the unlimited nature of S3 for ad-hoc and real-time analytics. For traditional data warehouse applications, extracting…
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real-time2 min Read

In some industries, a hesitance remains in recognizing the commodification forces of real-time solutions. These industries often rely on orthodox tenets as barriers to marketplace entry, such as regulatory compliance, traditional value propositions, brand recognition, and market penetration. The term “ripe for disruption” often characterizes these industries and their respective leaders. Arguably, an illustrative industry in the midst of responding to commodification, adapting to real-time…
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Resources2 min Read

For interested database developers, database administrators, and data scientists, we proudly offer several learning resources. These include YouTube educational videos, Enterprise trial Editions of SingleStore, extensive public product documentation, knowledge base articles, a SlideShare presentation repository, and a public Slack channel. Online Education Videos We have numerous videos available at youtube.com/memsql Ankur Goyal: Database Systems Class, CMU, April 2016 Learn from Ankur Goyal…
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Seth Luersen

Seth Luersen