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Puppygraph speeds up LLMs’ access to graph data insights

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Puppygraph speeds up LLMs' access to graph data insights

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As enterprises continue to invest heavily in advanced analytics and large language models (LLMs), graph technology has become one of the most favored approaches for setting up the data stack. It allows users to understand complex relationships in their datasets, which are often not apparent in traditional relational databases.

However, maintaining and querying graph databases alongside traditional relational databases is quite a hassle (and an expensive one). Today, PuppyGraph, a San Francisco-based startup founded by former Google and LinkedIn employees, raised $5 million to solve this gap with the world’s first and only zero-ETL query engine. The engine allows users to query their existing relational data as a unified graph without needing a separate graph database and long extract-transform-load (ETL) processes. 

The engine launched in March 2024 and is already being used by several enterprises to simplify data analytics. Its forever-free developer edition alone is witnessing a 70% month-over-month download increase. 

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The need for PuppyGraph

A graph database architecture mirrors sketching on a whiteboard, storing all the information in nodes (representing entities, people and concepts) with relevant context and connections between them. Using this graph structure, users can identify complex patterns and relationships that may not be easily apparent in traditional relational databases (queried via SQL) and deploy algorithms to quickly enable use cases such as AI/ML, fraud detection, customer journey mapping and risk management for networks. 

In the current scheme of things, the only way to adopt graph technologies is to set up a separate native graph database and keep it in sync with the source database. The task sounds easy but becomes very complicated, with teams having to set up complex and resource-intensive ETL pipelines to migrate their datasets to graph storage. This can easily cost millions and take months, keeping users from running critical business queries. 

Not to mention, once the database is set up, they also have to manage it continuously, which further adds to the cost and creates scalability problems in the long run. 

To address these gaps, former Google and LinkedIn employees Weimo Liu, Lei Huang and Danfeng Xu came together and started PuppyGraph. The idea was to provide teams with a way to query their existing relational databases and data lakes as graphs, without data migrations.

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This way, the same data that is analyzed with SQL queries could be analyzed as a graph, leading to faster access to insights. This can be particularly useful for cases where the data is deeply connected with multi-level relationships, like in supply chain or cybersecurity. 

“The deeper the level, the more complex the query becomes in a traditional SQL query. This is because each additional level requires an additional table join operation, compounding the complexity and potentially slowing down the query performance dramatically… In contrast, graph query handles these multi-level relationships much more efficiently. They are designed to quickly traverse these connections using paths through the graph, regardless of the depth of the connection,” Zhenni Wu, who joined PuppyGraph’s founding team, told VentureBeat. 

Wu said PuppyGraph eliminates the need for extensive ETL setups entirely, enabling ‘deployment to query’ in just about 10 minutes. All the user has to do is connect the tool with their data source of choice. Once done, it automatically creates a graph schema and queries the tables in graph models. Also, the engine’s distributed design allows it to handle extremely large datasets and complex multi-hop queries.

It can connect to all mainstream data lakes, including Google BigQuery and Databricks, to run accelerated graph analytics – while keeping costs on the lower side at the same time.

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“The separation of storage and compute architecture means that low cost is PuppyGraph‘s one of the biggest advantages. There is zero storage cost because the engine directly queries data from users’ existing data lake/warehouse. It provides the flexibility to scale compute resources as needed, allowing adjustments to handle fluctuating workloads efficiently, without risking resource contention or performance degradation,” Wu added.

Significant impact in early days

While the company is less than a year old, it is already witnessing success with several enterprises, including Coinbase, Clarivate, Dawn Capital and Prevelant AI.

In one case, an enterprise transitioned to PuppyGraph from a legacy graph database system and managed to cut its total cost of ownership by over 80%. A leading financial trading platform was able to achieve a 5-hop path query between account A and account B across around 1 billion edges in less than 3 seconds. 

Before PuppyGraph, their self-built SQL-based solution couldn’t even query beyond a 3-hop query and had batch time-out issues. 

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With this funding, the company plans to accelerate its product development, expand its team and increase its market presence by taking the zero-ETL graph query engine to more organizations worldwide.

According to Gartner, the market for graph technologies will grow to $3.2 billion by 2025 with a CAGR of 28.1%. Other players in the category are Neo4j, AWS Neptune, Aerospike and ArrangoDB. 


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Technology

Sony’s PS5 Pro: is it a console or a gaming PC?

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Sony’s PS5 Pro: is it a console or a gaming PC?

Think about how you like to play video games. Are you the type to sink into your couch, controller in hand, TV across the living room, for a few hours of Madden? If so, Sony’s new PlayStation 5 Pro is not for you. But if you find yourself leaning forward, creeping ever closer to the screen, looking for every clue hidden in the grass or every tiny twitchy graphical advantage, a $700 console might not be such a silly idea.

On this episode of The Vergecast, The Verge’s Sean Hollister joins the show to talk about his experience with the PS5 Pro. We go through what you can expect from this super-powered new gaming machine, which games and which gamers might get the most from it, and why the PS5 Pro might have more in common with a gaming PC than a standard console.

But before we get to that, there’s some news this week to talk about. After a hotly contested election, and looking ahead to the upcoming Trump presidency, we spend a few minutes talking through our plans to cover the new administration — and how we’re thinking differently than we did in 2016. Once we’re done with that, we talk about our reviews of the new Mac Mini and MacBook Pro, and the way they seem to nicely simplify the process of buying a Mac. For the first time in a long time, the lineup makes a lot of sense.

Then it’s gaming time. In addition to the PS5 Pro, Sean talks us through the news that Nintendo’s next console will be backwards compatible with Switch games, but cautions that the announcement isn’t necessarily unequivocally good news. Then he gives us an update on Nintendo’s fight against emulators, which has taken a bit of a confusing turn.

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If you want to know more about everything we discuss in this episode, here are some links to get you started, beginning with Apple and gadget news:

And in the lightning round:

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The PS5 Pro’s PSSR upscaling gives multiple games a huge visual upgrade – can it compete with Nvidia’s DLSS 3 successor?

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Ratchet and Clank: Rift Apart rail grind
  • Digital Foundry believes PSSR is a huge advancement for PS5 games
  • Some of the biggest improvements are visible in Stellar Blade
  • Nvidia’s DLSS 3 successor may have some competition

Sony’s PS5 Pro was released on November 7, 2024, giving many people the chance to finally put the new PSSR upscaling method to the test, with strong comparisons to Nvidia’s DLSS on PC.

Digital Foundry’s John Linneman praised the impact PSSR has made on the visual quality of multiple titles, stating, ‘It’s a gigantic leap, it’s probably the best implementation I have seen yet in terms of image quality.’

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How To Assemble Kawachi Laptop Table Computer Desk and Writing Study Table With Printer Book Shelf

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How To Assemble Kawachi Laptop Table Computer Desk and Writing Study Table With Printer Book Shelf



Description
This computer desk mixes urban and rustic elements to bring you an industrial style desk ideal for any modern home. Great for apartments or homes in need of a space-saving desk, the simple design gives it a multifunctional purpose, letting you choose how you use it—in the office for work, playroom for board games, living room for family use, and more. To make things a little easier, this desk has a simplified assembly process with easy-to-follow, illustrated directions. Our wood writing folding table comes with an MDF board and high-quality metal frame construction, which is the heavy-duty, sturdy, durable, and large weight capacity. It will suit any décor and bring new energy to your home or sturdy room.
Elegant Design – With its elegant design and clean aesthetic, the table has an ideal height that provides you with a better working experience, it’s metal legs and construction maximizes interior leg space that makes your work routine comfortable.
Multipurpose Desk – The surface is perfect for a laptop or your daily paperwork, it’s not only a computer desk, but it can also be used in a study, working, writing, reading, and doing all sorts of things, useful for home, tuitions, coaching classes, school, colleges, offices, etc.…
Easy to assemble – The table requires minimal assembly before it can be used. Easy to follow instructions.
A Perfect Fit For Any Room – Add a chic touch to your office or home with this Computer Desk that adds a touch of charm to most rooms. so you might as well get a desk that not only fits everything you need but looks and feels great.

Specifications
Material: HD MDF wood, Steel Tube powder coated Frame
Color: Beige
Flatpack: Assembly required
Package: 1*Computer Desk (not include chair)

@diyfurniture399 #Computerdesk #DIYFurniture #howto .

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Converged Infrastructure Solutions for Storage, Networking and Blade Servers

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Converged Infrastructure Solutions for Storage, Networking and Blade Servers



At the HP Global Partner Conference, HP announced new HP BladeSystem, HP Networking, and HP Converged Storage solutions. New BladeSystem offerings are designed to improve performance and reducing data center costs. In the storage arena, HP StoreSystem combines HP 3PAR StoreServ Storage and HP StoreOnce Backup systems in a pre-racked configuration. In networking, HP announced a combined wired and wireless networking offering designed to provide seamless support for enterprise BYOD initiatives. I had the chance to talk with Stephen DeWitt, Senior Vice President & General Manager of HP’s Enterprise Group, about the announcements and HP’s Converged Infrastructure strategy. .

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linux – HP BLADE machines – identify the Server name from my Linux OS (2 Solutions!!)

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linux - HP BLADE machines - identify the Server name from my Linux OS (2 Solutions!!)



linux – HP BLADE machines – identify the Server name from my Linux OS

Helpful? Please support me on Patreon: https://www.patreon.com/roelvandepaar

With thanks & praise to God, and with thanks to the many people who have made this project possible! | Content (except music & images) licensed under CC BY-SA https://meta.stackexchange.com/help/licensing | Music: https://www.bensound.com/licensing | Images: https://stocksnap.io/license & others | With thanks to user yael (serverfault.com/users/101912), user the-wabbit (serverfault.com/users/76595), user ewwhite (serverfault.com/users/13325), and the Stack Exchange Network (serverfault.com/questions/335716). Trademarks are property of their respective owners. Disclaimer: All information is provided “AS IS” without warranty of any kind. You are responsible for your own actions. Please contact me if anything is amiss at Roel D.OT VandePaar A.T gmail.com .

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Spending $4,534,741 For CHROMA SWORDS In Blade Ball

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Spending $4,534,741 For CHROMA SWORDS In Blade Ball



Spending $4,534,741 For CHROMA SWORDS In Blade Ball

What is Roblox? ROBLOX is an online virtual playground and workshop, where kids of all ages can safely interact, create, have fun, and learn. It’s unique in that practically everything on ROBLOX is designed and constructed by members of the community. ROBLOX is designed for 13 to 18 year olds, but it is open to people of all ages. Each player starts by choosing an avatar and giving it an identity. They can then explore ROBLOX — interacting with others by chatting, playing games, or collaborating on creative projects. Each player is also given their own piece of undeveloped real estate along with a virtual toolbox with which to design and build anything — be it a navigable skyscraper, a working helicopter, a giant pinball machine, a multiplayer “Capture the Flag” game or some other, yet-to-be-dreamed-up creation. There is no cost for this first plot of virtual land. By participating and by building cool stuff, ROBLOX members can earn specialty badges as well as ROBLOX dollars (“Robux”). In turn, they can shop the online catalog to purchase avatar clothing and accessories as well as premium building materials, interactive components, and working mechanisms.

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#bladeball #robloxbladeball .

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