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SingleStore
SingleStore

Product2 min Read
MySQL Error 1064
Getting a MySQL error 1064? Here's what the error means, causes and solutions. MySQL Error 1064 — What Is It? MySQL error 1064 refers to a…
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Product2 min Read
Webinar Recap: Migrating Oracle and MySQL Databases With SingleStoreDB & Arcion
In a database era dominated by data intensity, many organizations have come to a stark realization: their traditional, single-node databases…
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Product2 min Read
MySQL Error: 'the table is full'
Getting a MySQL error: 'the table is full'? We break down what this error means, and steps you can take it resolve it. MySQL Error 'the…
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Product3 min Read
MariaDB vs. MySQL
Learn more about these open-source databases including advantages, disadvantages and uses. MariaDB vs. MySQL: What Are They? MariaDB is an…
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Product4 min Read
MySQL Error: Out of Memory
Getting a MySQL error: out of memory? We break down what this error means, and steps you can take it resolve it. MySQL Error: Out of Memory…
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Product2 min Read
MySQL Error: "too many connections"
Are you getting a MySQL error: too many connections? Here's what the error means, and what you can do to resolve it. MySQL Error “too many…
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Product2 min Read
MySQL Error Command "error 1016 can't open file" — What Is This Error? How Do You Typically Resolve It?
MySQL Error Command "error 1016 can't open file" — What is this error? How do you typically resolve it? MySQL Error 1016 — What Is It? The…
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Product2 min Read
PostgreSQL vs. MySQL
Learn more about these open-source databases including advantages, disadvantages and uses. PostgreSQL vs. MySQL: What Are They? PostgreSQL…
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Case Studies4 min Read
Webinar Recap: The Future of Data Management: A Thought Leadership Chat
Organizations today face challenges in staying current with the technological advancements that keep them agile and competitive — something…
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Case Studies3 min Read
Webinar Recap: Supercharging SaaS Applications With Foodics
SaaS innovator Foodics revolutionizes the way companies and restaurants handle real-time reporting, inventory management, order submission…
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Trending6 min Read
Cyber Security Roundup: How SingleStore Customers Power the World’s Cyber Security
SingleStore is proud to count our customers as many of the world’s most innovative cyber security companies. Here’s a roundup of some of…
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Data Intensity2 min Read
Scale Your Speed
We often meet customers struggling to derive insights from their data in real time, at any time. And while several databases are designed to…
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Engineering3 min Read
Guest Engineer Showcase: Charlie Joseph
This edition of SingleStore’s engineer showcase puts a (guest) spotlight on software engineer Charlie Joseph, a London-based programmer and…
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Product5 min Read
Five Factors of Cloud Database Leaders
If you haven’t noticed, the cloud database market is on fire. You’ll definitely feel the heat when you check out the recently released Cloud…
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Engineering2 min Read
Engineer Showcase: Yamil Molinar
This edition of SingleStore’s engineer showcase puts the spotlight on software engineer Yamil Molinar. Hear how Yamil’s degree in robotics…
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Engineering2 min Read
Engineer Showcase: Marta Vasconcelos
This edition of SingleStore’s engineer showcase puts the spotlight on software engineer Marta Vasconcelos. Hear how Marta got into the…
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Engineering6 min Read
How to Load 100 Billion Rows of Data Ultrafast
It’s no secret that loading data into a database can be an arduous, time-consuming process. Wouldn’t it be amazing if you could load tens of…
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Data Intensity4 min Read
7 Keys to Delivering a Seamless Streaming Experience for This Year’s Big Game
This year’s Big Game will be one of TV’s most viewed programs. And it’s quickly becoming one of the most widely streamed media events. But…
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Case Studies10 min Read
IEX Cloud Processes Over 2.5B API Requests Daily with an 8ms Average Response Time Using SingleStore
Existing financial data offerings are not built for modern technology. They can’t keep up with the scale and speed needed to support…
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Case Studies7 min Read
How dailyVest Powers 401(k)s with SingleStoreDB Cloud and Improves Application Performance by 30%
Tax-advantaged retirement savings plans, such as 401(k)s, are commonly offered as a job benefit for employees. The employer sponsors the…
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Engineering3 min Read
Live WASM Demo from SingleStore’s Launch Pad!
SingleStore’s June 23 event didn’t just launch the world’s only hybrid multi-cloud, unified analytical and transactional database. We also…
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Product3 min Read
SingleStore’s New 7.5 Product - The Whole is Greater than the Sum of the Parts
It’s not easy to port the energy of a glitzy, in-person extravaganza over to Zoom, but SingleStore managed to pull it off on June 23 with…
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Data Intensity3 min Read
Real-time Machine Learning in SingleStore with MindsDB
SingleStore and MindsDB recently announced a partnership to advance machine learning innovation and provide machine learning features within…
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Case Studies3 min Read
Blink! It’s an Eternity for Data-Intensive Financial Services Applications
You did it again—you just blinked. According to the Harvard Database of Useful Biological Numbers, a blink of a human eye lasts roughly…
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Data Intensity
AI’s Secret Weapon: The Data Corpus
Modern businesses are geared more toward generating customer value, making decisions and predictions using highly demanding technologies like Artificial Intelligence (AI), Natural Language Processing (NLP) and Machine Learning (ML). Naturally, the demand for data is rapidly growing.
To train highly accurate machine learning models, extensive amounts of data known as data corpus are essential. In this guide, you’ll be introduced to the data corpus concept and its importance in ML and AI domains, how the data corpus and machine learning capabilities are adopted by databases like MySQL (and MySQL wire-compatible databases) and how as a MySQL wire-compatible database, SingleStoreDB leads the market with high-demanding machine learning & artificial intelligence capabilities with immense support for data corpus.
The Corpus of Data
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Data Intensity
Big Data Holds Big Benefits for National Security Programs
The Intelligence Community Information Technology Enterprise (ICITE) initiative, one of the federal government’s most complex and sensitive technology projects, aims to transform the current 17-member U.S. Intelligence Community from agency-specific IT silos to an enterprise environment of shared services and systems. The goal of the project is to cut federal costs and to improve information sharing and data security across intelligence agencies.
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With the rapid growth of sensor platforms across the Department of Defense and Intelligence Community, we expect there to be a strong desire to centrally store and share this data. The ability to not only consolidate infrastructure costs through these efforts, but to also provide real-time centralized analytics from big data fusion factories would allow for seamless sharing and cross-platform situational awareness. Implementing an updated real-time data system can, for example, give war-fighters instantaneous access to high-value information from several agencies at any location at any time, even across disparate sensor platforms.
This ability to fuse disparate big data elements in real-time, in memory, is the latest force multiplier to be added to the intelligence community’s IT arsenal. By integrating existing internal decision making processes such as OODA (Observe, Orient, Decide, Act), organizations can capitalize on modern technologies to significantly enhance execution. Using this example, the organization that can process the OODA loop faster than the competition will ultimately prevail.
Technologies such as SingleStore’s distributed in-memory database can help intelligence agencies rapidly build next-generation applications that ensure information dominance while decreasing total cost of ownership.
SingleStore can be the glue that will help five disparate intelligence agencies extract real-time information – and better yet – make sense of it all very quickly by providing the needed situational awareness and visibility.
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Data Intensity
Myth Busters: Hadoop Real-time Batch Processing
Waiting sucks, as I’m sure you’d agree, and when it comes to analytics, the gravity of increasing data volumes has become a primary concern for both industry and IT professionals. In order to deal with the volume and velocity of disparate data types, organizations have had to take an “assembly line”-like approach that requires significant batch processing.
These factories are cobbled together using different software packages to ETL and transform data, which unfortunately creates systemic reporting delays. Real-time operational requirements cannot be serviced by processes built to support all time historical volumes.
This “supply chain management” approach of data transforms and batch processing has become too unwieldy and, as can be seen below, requires complex architectures and programming languages to facilitate.
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Data Intensity
Real-Time Data Fusion - The Final Frontier
In a recent discussion with an engineer from Facebook regarding the time value of data, it was continuously emphasized that the relevance of “hot” data vastly outweighed the importance of “cold” data when considering the daily/weekly/monthly monetization of their business. In order to exploit the hot data, complex data processing factories were created to facilitate the “conditioning” of raw JSON and structured data in order to ingest it into Scuba… a system they developed for doing real-time, ad-hoc analysis of arbitrary datasets. While this is not a new story by any means, enterprise companies and government organizations may be surprised to hear that over 50% of Facebook engineers now leverage Scuba’s real-time capabilities for decision making.Data fusion is generally defined as the process of synthesizing raw data from several sources to generate more meaningful information that can be of greater value than single sourced data. For over 20 years enterprises have struggled to migrate from stove-piped legacy database applications to centralized data warehouses in the hope that through consolidation they would achieve cost savings and greater access to their data. But as long as SQL processing was trapped in “the box,” enterprises would always be at the performance mercy of single box solutions. The only people that benefited from this approach were the large institutional database purveyors.As the market is quickly finding out, SingleStore solved this longstanding and painful performance bottleneck through the introduction of its distributed in-memory scale-out cluster computing model predicated on cost effective commodity servers. When combined and powered by a massively parallel and distributed query optimizer, the SingleStore solution effectively allows SQL to escape “the box” by leveraging hundreds or thousands of computing cores for each and every in-memory database transaction. This innovation was the first step on a journey to unleash the power of your data enabling true real-time analytics.WebOps/DevOps based companies like Facebook have developed in-house solutions to provide real-time data fusion in order to take advantage of Hot data. Facebook has half the number of employees as Yahoo and one-tenth the number of employees of Google. Could enabling real-time ad-hoc analytics be part of their growing competitive advantage and profitability within their market? The good news is that SingleStore has commercialized an enterprise ready capability that can help your organization quickly find out. Waiting Sucks! Call SingleStore.
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