#quicksight
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I finally got around to doing this!
Down and Sage- @cloververse The very first clangen artlocke that introduced me to artlockes in general, and a clan I’ve been following for a while in the discord! Of course I had to draw these two! The reason they are only headshots is because there’s two of them, otherwise I would have drawn half bodies.
Maplestar- @fallenclan I remember you saying somewhere that he was one of your favourites that you don’t get to talk about very often, and I love his design anyways so ;p
Spikedawn- @lionpawsdiary I based the expression off of the one drawing where Lionkit was complaining about being hungry and SpikeDawn taught them hunting tactics! I don’t see much art of them so I decided I had to do something about that
Erminelilac- @nettleclan-clangen I decided to go with one of the characters who didn’t seem to have much art, and went with the most interesting design i found. I love the little bow collar!
Quicksight- @flaxclan I couldn’t find a fullbody of Quicksight so I used a mix of the one pic I found as an adult and the introduction as Quickkit!
Logfur- @clanofruins oh baby, oh baby, I love Logfur so much she’s absolutely adorable! She makes me sad.
#clangen#warrior cats clangen#clangen ocs#my art#down#Sage#maplestar#spikedawn#erminelilac#Quicksight#Logfur#not my ocs
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Hey Quicksight! Who are your favorite cats? And least favorites?
Someone has a high level of confidence it seems!
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We are proud to announce that AllCode has achieved the status of Certified AWS Advanced Consulting Partner! This significant milestone underscores our commitment to delivering exceptional AWS Solutions and services
#aws services#AWS#CloudComputing#AWSAdvancedPartner#CloudSolutions#Innovation#SecureCloud#PublicSector#AmazonRDS#QuickSight#AWSExperts#AllCode
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Build with Me: Visualize Data using Amazon QuickSight | AWS Project
Get $25 off your web dataset with Bright Data: In this mini-AWS project, we will be … source
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Amazon Redshift and QuickSight: Simplified Guide
Introduction:
In today's data-driven era, Amazon Web Services (AWS) offers powerful tools like Amazon Redshift and AWS QuickSight for managing and analyzing vast amounts of data. Let's dive into a simplified guide to understanding and harnessing the capabilities of Amazon Redshift and QuickSight.
What is Redshift?
Amazon Redshift is a fully managed cloud data warehouse designed to handle petabyte-scale datasets and complex analytic queries efficiently. It offers high performance and scalability, making it a popular choice for businesses dealing with large volumes of data.
When is Redshift a right fit?
Redshift is ideal for scenarios such as Mortgage Portfolio Analysis, Regulatory Compliance Reporting, and Real-Time Fraud Detection in Mortgage Applications. Its ability to process complex queries and manage Redshift Processing Units (RPUs) makes it suitable for demanding analytical workloads.
When is Redshift not suggestible?
However, Redshift may not be the best fit for high-frequency, real-time transaction processing or low-cost solutions for small datasets. In such cases, alternative solutions may be more suitable to meet specific use case requirements.
How to set up the Redshift cluster through the AWS console?
Setting up a Redshift cluster through the AWS console is straightforward and can be done following step-by-step instructions provided by AWS documentation. This process allows you to configure your Redshift environment based on your data and performance needs.
What is AWS QuickSight?
AWS QuickSight is a fully managed business intelligence (BI) service that integrates seamlessly with AWS data sources like S3, Redshift, and RDS. It empowers users to visualise and gain insights from their data through interactive dashboards and visualisations.
What are AWS QuickSight right-fit and wrong-fit scenarios?
QuickSight is suitable for Business Intelligence needs, AWS Data Source Integration, and Non-technical User Data Exploration. It offers a user-friendly interface for creating and sharing visualisations, making data analysis accessible to a wide range of users.
Learn about scenarios where AWS QuickSight might not be the best choice, such as highly specialised analytical needs or large-scale machine learning integration. Understanding these limitations can help you make informed decisions about using QuickSight for your BI requirements.
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Why Watch This Video:
This video provides a comprehensive overview of Amazon Redshift and AWS QuickSight, highlighting their strengths, use cases, and limitations. Whether you're new to data warehousing and BI or looking to enhance your existing knowledge, this guide offers valuable insights to help you leverage these AWS services effectively.
#Fintech#Technology#Redshift#Quicksight#AWS#AWS console#Data management#Data analytics#Amazon Web Services#Learning videos#Tech videos#Youtube
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Understanding Core Components of the Data Engineering Ecosystem | Brilliqs

Explore the foundational components that power modern data engineering—from cloud computing and distributed platforms to data pipelines, Java-based workflows, and visual analytics. Learn more at www.brilliqs.com
#Data Engineering Ecosystem#Data Engineering Components#Cloud Data Infrastructure#Apache Spark#Amazon QuickSight#Data Pipelines#Data Management#Java for Data Engineering#Brilliqs
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Data Analytics with Amazon QuickSight: Boosting Patient Outcomes and Healthcare Efficiency - ITTStar
Discover how Amazon QuickSight, a leading business intelligence platform, empowers healthcare organizations to enhance patient care, optimize operations, and improve efficiency through advanced data analytics and real-time insights. QuickSight's scalable and secure cloud infrastructure ensures seamless data integration from various sources, allowing for more informed decision-making.
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While being flayed by your own hounds is admittedly disturbing, I still cannot get over how did Actaeon name his dogs:
Hyginus, Fabulae:
"Their names were (these are all male): Melampus, Ichnobates, [Echnobas], Pamphagos, Dorceus, Oribasus, Nebrophonus, Laelaps, Theron, Pterelas, Hylaeus, Nape, Ladon, Poemenis, [Therodanapis], Aura, Lacon, Harpyia, Aello, Dromas, Thous Canache, Cyprius, Sticcte, Labros, Arcas, Agriodus, Tigris, Hylactor, Alce, Harpalus, Lycisca, Melaneus, Lachne, Leucon. Likewise there who devoured him — females: Melanchaetes, Agre, theridamas, Oreistrophos. Other authors give these names too: Acamas, Syrus, Leon, Stilbon, Agrius, Charops, Aethon, Corus, Boreas, Draco, Eudromus, Dromius, Zephyrus, Lampus, Haemon, Cyllopodes, Harpalicus, Machimus, Ichneus, Melampus, Ocydromus, Borax, Ocythous, Pachylus, Obrimus; and females: Argo, Arethusa, Urania, Theriope, Dinomache, Dioxippe, Echione, Gorgo, Cyllo, Harpyia, Lynceste, Leaena, Lacaena, Ocyptete, Ocydrome, Oxyrhoe, Orias, Sagnos, Theriphone, Volatos, Chediaetros."
Ovid, Metamorphoses:
"While doubting thus his dogs espied him there: first Blackfoot and the sharp nosed Tracer raised the signal: Tracer of the Knossian breed, and Blackfoot of the Spartan: swift as wind the others followed. Glutton, Quicksight, Surefoot, three dogs of Arcady; then valiant Killbuck, Tempest, fierce Hunter, and the rapid Wingfoot; sharp-scented Chaser, and Woodranger wounded so lately by a wild boar; savage Wildwood, the wolf-begot with Shepherdess the cow-dog; and ravenous Harpy followed by her twin whelps; and thin-girt Ladon chosen from Sikyonia; racer and Barker, brindled Spot and Tiger; sturdy old Stout and white haired Blanche and black Smut lusty big Lacon, trusty Storm and Quickfoot; active young Wolfet and her Cyprian brother black headed Snap, blazed with a patch of white hair from forehead to his muzzle; swarthy Blackcoat and shaggy Bristle, Towser and Wildtooth, his sire of Dicte and his dam of Lacon; and yelping Babbler: these and others, more than patience leads us to recount or name."
Apollodorus, Library:
"[ The names of Actaeon's dogs from the . . . . So Now surrounding his fair body, as it were that of a beast, The strong dogs rent it. Near Arcena first. . . . . after her a mighty brood, Lynceus and Balius goodly-footed, and Amarynthus. And these he enumerated continuously by name. And then Actaeon perished at the instigation of Zeus. For the first that drank their master's black blood Were Spartus and Omargus and Bores, the swift on the track. These first ate of Actaeon and lapped his blood. And after them others rushed on him eagerly . . . .To be a remedy for grievous pains to men. ]"
Honestly if I would be dog and my owner would've called me something stupid like Barker or Snap I would too go for his neck.
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Moon 136
Man when is there going to be something?
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AWS Billing Dashboard - AllCode
AllCode's AWS Billing Dashboard provides a user-friendly interface for monitoring and analyzing AWS usage, costs, and trends. It enables customers to successfully optimize expenditure and manage budgets by providing easy visualizations and extensive data. Use AllCode to take control of your spending right now.

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Some doodles of a spop oc i have :) im loving the new sketchbook my friend got me - its sooo nice!! I dont have a name for her yet, what do you think? She likes books and studying magic, flights in the night, and her main power is quicksight, which lets her see everything around her and a few moments ahead.
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Learn how Amazon Redshift handles massive datasets and complex queries, and when it's best suited for tasks like Mortgage Portfolio Analysis or Real-Time Fraud Detection. Explore AWS QuickSight's integration with AWS data sources and its strengths in Business Intelligence and Data Exploration. Get actionable insights to make informed decisions for your projects and use cases.
#fintech#technology#finance#data analytics#redshift#quicksight#aws#amazon web services#technology videos#learning videos#data management#data warehouse#mortgage services#mortgage finance#data transformation
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Professional Amazon QuickSight Consulting for Business Intelligence Globally
In today’s fast-paced business environment, companies are increasingly turning to data to drive smarter decisions. Amazon QuickSight, a cloud-powered business intelligence (BI) tool from AWS, enables organizations to visualize data in real-time and make informed choices. At Helical IT Solutions, we offer expert Amazon QuickSight consulting globally to help businesses unlock the full power of their data.
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READ THIS if you are happiest when meddling in other people’s lives and fully intend to peace out when it goes pear shaped. Emma, Austen wrote to a friend, is “a heroine whom no one but myself will much like”. The novel’s deceptively simple plot is spun through letters and riddles, interior monologue, and dialogue the book at times is exceedingly playful and fun charming the reader. Austen wrote that “three or four families in a country village is the very thing to work on”, and Emma’s Highbury exemplifies this as Austen is truly a miniaturist creating a world in a tiny geography. One of the comic characters, probably my favorite character in all of Austen, is the endearingly loquacious Miss Bates who the narrator tells us “She loved every body, was interested in every body’s happiness, quicksighted to every body’s merits…” Miss Bates and Emma have in common that they both care for an elderly parent there however the commonality ends. When Emma visits Mrs and Miss Bates Emma is loathe to pay the visit, and finds it “very disagreeable”, Miss Bates is described as welcoming her guests “most cordially and even gratefully”, and overpowering them “with care and kindness”. Emma Woodhouse is “handsome, clever, and rich, with a comfortable home…”, whereas Miss Bates is “neither young, handsome, rich, nor married”, and with “no intellectual superiority”. The Bateses are describes as living in “a very small way”, Emma lacks good intention and selflessness, Miss Bates lacks money and intelligence. Miss Bates rambling voluble digressions are so comical to me and along with her thoughtful regard for others she earns my fond esteem. Here Miss Bates is talking about receiving a note about Mr Elton’s marriage: “For it is not five minutes since I received Mrs. Cole’s note–no, it cannot be more than five–or at least ten–for I had got my bonnet and spencer on, just ready to come out–I was only gone down to speak to Patty again about the pork–Jane was standing in the passage–were not you, Jane?–for my mother was so afraid that we had not any salting-pan large enough. So I said I would go down and see, and Jane said, ‘Shall I go down instead? for I think you have a little cold, and Patty has been washing the kitchen.’–'Oh! my dear,’ said I–well, and just then came the note.” I just love me some Miss Bates. Austen is less didactic in Emma than her other novels but there is a lesson here and it is humility. This novel teaches us that we are less clever than we believe and that we are prone to making a mess of things until we realize this. So not only is Austen conjuring Highbury and its people but she is conjuring a little humble pie for Emma and for the discerning reader that can see themselves in Emma’s foibles. Emma the matchmaker can be quite awful at times as she pulls the strings in her Highbury puppet show but it is partly her supercilious behavior that makes this novel so fun and when we remember we are witnessing her metamorphosis into a human being we don’t feel so bad for enjoying some of her more questionable idiosyncrasies. This novel was finished in 1815 the year of the battle of Waterloo and suffice it to say that if Bonaparte had bombed Highbury from balloon airships Emma might have insisted on there being a separate bunker for the Patrician class. She may have wondered do the Plebs really need a bunker they might do very well on the surface arraying themselves into a Roman tortoise formation around Hartfield shielding against any plummeting French incendiaries. This book exudes an incandescent cheerfulness and as in most of Austen she puts at a premium the trait of thoughtfulness and even when her characters occasionally fall short the consideration of others is always the highest human quality. Emma the human being like most of us is not perfect but Emma the novel comes pretty close.
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No more she threatened, but she fixed the horns of a great stag firm on Actaeon's sprinkled brows; she lengthened out his neck; she made his ears sharp at the top; she changed his hands and feet; made long legs of his arms, and covered him with dappled hair—his courage turned to fear. The brave son of Autonoe took to flight, and marveled that he sped so swiftly on.—
he saw his horns reflected in a stream and would have said, “Ah, wretched me!” but now he had no voice, and he could only groan: large tears ran trickling down his face, transformed in every feature.—Yet, as clear remained his understanding, and he wondered what he should attempt to do: should he return to his ancestral palace, or plunge deep in vast vacuities of forest wilds? Fear made him hesitate to trust the woods, and shame deterred him from his homeward way.
While doubting thus his dogs espied him there: first Blackfoot and the sharp nosed Tracer raised the signal: Tracer of the Gnossian breed, and Blackfoot of the Spartan: swift as wind the others followed. Glutton, Quicksight, Surefoot, three dogs of Arcady; then valiant Killbuck, Tempest, fierce Hunter, and the rapid Wingfoot; sharp-scented Chaser, and Woodranger wounded so lately by a wild boar; savage Wildwood, the wolf-begot with Shepherdess the cow-dog; and ravenous Harpy followed by her twin whelps; and thin-girt Ladon chosen from Sicyonia; racer and Barker, brindled Spot and Tiger; sturdy old Stout and white haired Blanche and black Smut lusty big Lacon, trusty Storm and Quickfoot; active young Wolfet and her Cyprian brother black headed Snap, blazed with a patch of white hair from forehead to his muzzle; swarthy Blackcoat and shaggy Bristle, Towser and Wildtooth, his sire of Dicte and his dam of Lacon; and yelping Babbler: these and others, more than patience leads us to recount or name.
All eager for their prey the pack surmount rocks, cliffs and crags, precipitous—where paths are steep, where roads are none. He flies by routes so oft pursued but now, alas, his flight is from his own!—He would have cried, “Behold your master!—It is I—Actaeon!” Words refused his will. The yelping pack pressed on. First Blackmane seized and tore his master's back, Savage the next, then Rover's teeth were clinched deep in his shoulder.—These, though tardy out, cut through a by-path and arriving first clung to their master till the pack came up.
The whole pack fastened on their master's flesh till place was none for others. Groaning he made frightful sounds that not the human voice could utter nor the stag; and filled the hills with dismal moans; and as a suppliant fell down to the ground upon his trembling knees; and turned his stricken eyes on his own dogs, entreating them to spare him from their fangs.
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Top 10 Predictive Analytics Tools to Strive in 2024
Predictive analytics has become a crucial tool for businesses, thanks to its ability to forecast key metrics like customer retention, ROI growth, and sales performance. The adoption of predictive analytics tools is growing rapidly as businesses recognize their value in driving strategic decisions. According to Statista, the global market for predictive analytics tools is projected to reach $41.52 billion by 2028, highlighting its increasing importance.
What Are Predictive Analytics Tools?
Predictive analytics tools are essential for managing supply chains, understanding consumer behavior, and optimizing business operations. They help organizations assess their current position and make informed decisions for future growth. Tools like Tableau, KNIME, and Databricks offer businesses a competitive advantage by transforming raw data into actionable insights. By identifying patterns within historical data, these tools enable companies to forecast trends and implement effective growth strategies. For example, many retail companies use predictive analytics to improve inventory management and enhance customer experiences.
Top 10 Predictive Analytics Tools
SAP: Known for its capabilities in supply chain, logistics, and inventory management, SAP offers an intuitive interface for creating interactive visuals and dashboards.
Alteryx: This platform excels in building data models and offers a low-code environment, making it accessible to users with limited coding experience.
Tableau: Tableau is favored for its data processing speed and user-friendly interface, which allows for the creation of easy-to-understand visuals.
Amazon QuickSight: A cloud-based service, QuickSight offers a low-code environment for automating tasks and creating interactive dashboards.
Altair AI Studio: Altair provides robust data mining and predictive modeling capabilities, making it a versatile tool for business intelligence.
IBM SPSS: Widely used in academia and market research, SPSS offers a range of tools for statistical analysis with a user-friendly interface.
KNIME: This open-source tool is ideal for data mining and processing tasks, and it supports machine learning and statistical analysis.
Microsoft Azure: Azure offers a comprehensive cloud computing platform with robust security features and seamless integration with Microsoft products.
Databricks: Built on Apache Spark, Databricks provides a collaborative workspace for data processing and machine learning tasks.
Oracle Data Science: This cloud-based platform supports a wide range of programming languages and frameworks, offering a collaborative environment for data scientists.
Conclusion
As businesses continue to embrace digital transformation, predictive analytics tools are becoming increasingly vital. Companies looking to stay competitive should carefully select the right tools to harness the full potential of predictive analytics in today’s business la
#databricks#oracle data science#sap#alteryx#microsoft#microsoft azure#knime#ibm spss#altair studio#amazon quick sight
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