Author
Gene Miguel
Senior Field Marketing Manager
Trending
Architecting Data in the AWS Ecosystem
Amazon Web Services (AWS) is a juggernaut of a platform, and many of today’s database solutions can run on AWS, including SingleStore. Recently, we held a meetup at our office in San Francisco during AWS Summit 2018 to discuss how customers can benefit from using SingleStore within the AWS ecosystem.
In the talk, “Architecting Data in the AWS Ecosystem,” Seth Luersen from SingleStore took a look at the overall data landscape related to the purpose-built databases from Amazon Web Services. He illustrated how the shape, size, and computing needs for data-driven workloads dictate modern data architectures. The talk also shared how modern enterprises, that are architected for mixed workloads with SingleStore, can easily handle fast data ingest, manage high concurrency, and achieve sub-second query latency.
Together, SingleStore and AWS provide a compelling platform for building real-time applications. SingleStore can handle both database and data warehouse workloads to combine transactional and analytical requirements, which fits with the direction of new applications. AWS provides useful services such as S3, as well as the most comprehensive Infrastructure-as-a-Service, to stand up powerful solutions.
The slides and video have been made available below.
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Engineering
Recapping An Evening with SingleStore Engineering
Recently, we hosted a special meetup at our headquarters in San Francisco for the community, and shared some great talks. The slides for each talk and the video presentations have been made available below.
Drew Paroski, SingleStore VP of Engineering and Adam Prout, SingleStore Chief Architect delivered a fun talk about taking a methodical approach for making a decision, dug into interesting tradeoffs, and gave tips about what to look for under the hood and how to evaluate the tech behind the database, all wrapped within a Star Wars theme.
Slides for “An Engineering Approach to Database Evaluations”
Rodrigo Gomes, a SingleStore engineer, highlighted some of the challenges to building a fault tolerant distributed architecture, and how the SingleStore architecture tackles these challenges.
Slides for “Building a Fault Tolerant Distributed Architecture”
Tewei Luo, another SingleStore engineer, demoed an upcoming feature in SingleStoreDB Self-Managed 6.5 showing how advanced stream processing use cases can be tackled with a combination of stored procedures (new in 6.0) and the SingleStore Pipelines feature.
Slides for “Stream Processing with Pipelines and Stored Procedures”
Check out the below video to see all the presentations from the meetup.
To stay up to date with all of our meetups, follow us on Meetup.com where we post our upcoming events.
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Engineering
An Engineering Approach to Database Evaluations
Whether you’re the CTO of the Rebel Alliance or the Galactic Empire, it could be very difficult to decide on your next database technology with the distraction of both sides constantly at war. In 2018, you’ll need to make a database choice for an existing or new application. Here are the things you need to keep in mind as you shop for your next database.
8 Criteria To Keep In Mind While Looking For Your Next Database
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Data Intensity
How Database Convergence Impacts the Coming Decades of Data Management
Within the database industry, there are often paradigm shifts in the market that create opportunities for new types of technology to emerge. When those shifts happen, new technology requirements come up and old technologies do not satisfy those requirements. There have been many shifts in the database market including, NoSQL, big data, in-memory, Internet of Things, cloud computing, and many others.
Recently, SingleStore CEO and Co-founder, Nikita Shamgunov, presented to a group of database professionals at the New York City Database Month meetup group about these shifts, and specifically, how database convergence will impact the coming decades of data management. He discussed the latest innovations in data management, and how utilizing a distributed and scalable converged database can optimize transactional and analytical workloads. He also showed the technical impact of real-time data pipelines and scalable SQL in a distributed computing platform that is designed for addressing challenging financial application scenarios.
Watch to view a demo of large scale data (several billion rows) that is processing on Volume Weighted Average Price (VWAP) and real-time image recognition.
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Data Intensity
Real-Time Streaming, Analytics, and Visualization with SingleStore and Zoomdata
We regularly host meetups at SingleStore headquarters as a way to share what we have been working on, connect with the community, and get in-person feedback from people like you. We also invite partners and customers to join us as well. Recently, we had the pleasure of hosting a meetup with Zoomdata, where we shared two presentations on real-time streaming, analytics, and visualization using SingleStore and Zoomdata.
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Data Intensity
Seeking a Rescue from a Traditional RDBMS
In the Beginning
Years ago, organizations used transactional databases to run analytics. Database administrators struggled to set up and maintain OLAP cubes or tune report queries. Monthly reporting cycles would slow or impact application performance because all the data was in one system. The introduction of custom hardware, appliance-based solutions helped mitigate these issues, and the resulting solutions were transactional databases with column store engines that were fast. Stemming from these changes, several data warehouse solutions sprang up from Oracle, IBM Netezza, Microsoft, SAP, Teradata, and HP Vertica, but these data warehouses were designed for the requirements of 20 years ago. Thus new challenges arose, including:
Ease of use – each environment required specialty services to setup, configure, and tune
Expensive – initial investments were high and needed additional capacity
Scalability – performance was designed on single box configurations; the larger the box, the faster the data warehouse
Batch ingestion – inability to store and analyze streaming data in real-time
As new data or user requests landed on the system, database administrators (DBA) had to scale the system up from a hardware perspective. Need more scale? Buy more boxes! DBAs became tired of having to buy new expensive hardware every time their query was slow or every time they had to ingest from a new data source.
An Explosion of Data
The data warehouse appliance was passable back then, but today, new workloads and data growth have put a strain on traditional solutions to the point where many users are seeking rescue from the clutches of incumbent systems. Explosive data growth due to web and mobile application interactions, customer data, machine sensors, video telemetry, and cheap storage means customers are storing “everything,” this has contributed to the additional strain on traditional systems. Real-time application data, now pervasive in digital business, along with new machine and user generated data puts an increasing pressure on ingestion and query performance requirements. Real-world examples include digital personalization required of retailers, customer 360 programs, real-time IoT applications, and real-time logistic applications. To solve for the increased strain, there has been a strategic shift to cloud and distributed systems for agility and cost optimization.
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Trending
Real-Time Roadshow Rolls into Phoenix, Arizona
We’re packing our bags and heading to the Southwest to kick off the first ever SingleStore Real-Time Roadshow!
Healthcare, education, aerospace, finance, technology, and other industries play a vital role in Phoenix, home to leading corporations like Honeywell, JP Morgan, AIG, American Express, Avnet, and UnitedHealth Group. Businesses in these industries face the constant challenge of keeping up with the high expectations of users and consumers that demand personalized and immediate services. To meet these challenges and elevate their businesses above the competition, industry leaders and data engineers in the Phoenix area embrace real-time applications as the solution.
We’re bringing the Real-Time Roadshow to the capital of Arizona, to directly connect with this vibrant community of businesses and developers looking to pursue and learn more about real-time initiatives. Through a series of in-depth, technical sessions and demonstrations, this event provides an opportunity for data professionals and data leaders to investigate the power of real-time solutions.
Here’s what you will learn:
Forces driving the need for real-time workloadsHow to process and translate millions of data points into actionable insightsHow to drive new revenue and cut operating costs with real-time dataHow predictive analytics gives companies a competitive advantage to anticipate outcomesTop data architectures for real-time analytics and streaming applicationsUse cases and examples from companies building real-time applications
Speaking Sessions
Driving the On-Demand Economy with Predictive Analytics
SingleStore CTO and co-founder Nikita Shamgunov demonstrates how a real-time trinity of technologies — Apache Kafka, Apache Spark, and SingleStore—enables companies to power their businesses with predictive analytics and real-time applications.
Real-Time Analytics with SingleStore and Apache Spark
SingleStore Engineer Neil Dahlke dives deep into how Pinterest measures real-time user engagement in this technical demonstration that leverages Spark to enrich streaming data with geolocation.
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Trending
The Changing Face of the Modern CIO
In 1981 the role of Chief Information Officer (CIO) first breaks onto the scene. Today, thirty five years since genesis, the responsibilities of the CIO have radically changed. The original CIO served as senior executive in an enterprise and was responsible for the information technology and computer systems that supported enterprise goals. However, as today’s business needs rapidly change, so too does the role of a modern CIO.
Today, CIOs must adapt or they will get left behind with legacy systems.
The modern CIO is expected to take on multiple responsibilities, including:
Management of platforms and systems such as data governance, mobility, cloud infrastructureInvesting in security, improved database speed and access, big data analytics, integrationIdentifying trends, threats, and partners that align with business goalsMaking sure a company’s data is clean, accessible, easy to understand, and secureHiring and developing talent
CIOs now face many challenges, since IT plays an even more important role in core business strategy than it has in previous years. Management of systems with methods like data analysis and cloud infrastructure allow CIOs to operate with an agile development mentality and be more fluid when it comes to identifying and implementing new business operations as a result.
While much of the responsibility of a CIO has shifted away from managing server farms in a closet to managing a cloud, hardware is just as important today with the emergence of the Internet of Things (IoT). CIOs can now utilize IoT to gather valuable data across an entire logistics operation. For example, sensors can be placed on shipping containers and vehicles to analyze trip data, which can lead to designing more efficient shipping routes, resulting in higher cost savings.
Instead of being a back-office executive, CIOs must use their influence over new technologies to identify cost-saving opportunities or create additional revenue streams. CIOs, with their knowledge of modern technological trends, become responsible for maintaining their company’s competitive edge.
The responsibilities of modern CIOs working in the forefront of technology and information systems are changing rapidly, and those who do not adapt will quickly fall behind. To learn more about the changing landscape of IT and to network with over 100 IT executives, join us at the HMG 2016 CIO Executive Leadership Summit in Denver, CO on September 1, 2016. The speakers for this event include CIOs pushing the boundaries of what’s possible: Rob Dravenstott from DISH Network, Stephen Gold from CVS Health, and Renee Arrington from Pearson Partners International, Inc. At the Summit, the SingleStore team is available to talk about analyzing real-time data to optimize business processes and create new revenue streams. See you there!
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