#EDW Modernization

[hanasatoblogs]

Understanding EDW Modernization in Modern Business

What is EDW Modernization?

EDW, or Enterprise Data Warehouse, is a centralized repository for an organization's structured data. EDW modernization is the process of upgrading and optimizing these data warehouses to meet the evolving needs of modern businesses. This involves leveraging advanced technologies and strategies to enhance performance, scalability, and accessibility of data.

Why is EDW Modernization Crucial?

As businesses become increasingly data-driven, the need for efficient and effective data management becomes paramount. EDW modernization addresses several key challenges:

Data Volume and Velocity: The exponential growth of data necessitates scalable solutions to handle increasing volumes and faster processing speeds.

Data Variety: Modern businesses deal with diverse data types, including structured, semi-structured, and unstructured data. EDW modernization enables the integration and analysis of these varied data sources.

Real-Time Insights: Timely access to accurate data is crucial for making informed business decisions. EDW modernization supports real-time analytics and reporting.

Data Security and Compliance: Protecting sensitive data and ensuring compliance with regulations is a top priority. Modernized EDWs incorporate robust security measures and data governance practices.

Key Strategies for EDW Modernization

Cloud Migration:

Benefits: Enhanced scalability, cost-effectiveness, and reduced infrastructure management overhead.

Considerations: Data security, latency, and potential vendor lock-in.

Data Lake Integration:

Benefits: Unified storage for structured and unstructured data, enabling advanced analytics.

Considerations: Data governance, security, and performance optimization.

Data Virtualization:

Benefits: Real-time access to data from multiple sources without physical data movement.

Considerations: Performance impact and potential complexity.

Advanced Analytics:

Benefits: Deeper insights, predictive analytics, and machine learning capabilities.

Considerations: Data quality, skillset requirements, and model interpretability.

Data Governance and Security:

Benefits: Ensures data accuracy, consistency, and compliance.

Considerations: Ongoing maintenance and enforcement.

The Future of EDW Modernization

As technology continues to evolve, the future of EDW modernization holds exciting possibilities:

AI and Machine Learning: Leveraging AI and ML to automate data ingestion, cleaning, and analysis.

Real-Time Streaming Analytics: Processing and analyzing data as it is generated for instant insights.

Edge Computing: Analyzing data closer to the source for faster decision-making.

Quantum Computing: Solving complex data problems that are intractable for classical computers.

By embracing EDW modernization, organizations can unlock the full potential of their data, drive innovation, and gain a competitive edge in the digital age.

[etl-elt-modernization-migration]

Managed Data Migration: Which businesses should consider

As organizations handle increasing versions of structured and unnecessary data, managed data has become a key task for achieving effective data management. Whether transferred from EDW to data lake or reinforcing the computer system for better analysis, companies should weigh more factors before continuing with ETL/ELT modernization and migration.

Understanding the need for migration Legacy system can slow down commercial operations due to high maintenance costs, scalability issues and limited integration capabilities. ETL migrations and ELT modernization enable businesses to handle large datasets more efficiently, supporting businesses near real-time analytics.

Modernizing your data architecture also involves transition to flexible storage environment such as data lakes, which are ideal for handling various data types. This change supports future AI, ML and BI capabilities by enabling better data access and advanced processing.

Important ideas before starting migration Before starting a managed data project, companies should consider the following:

Data Inventory: Identify and list current data sources to avoid repetition and ensure relevance. Compliance readiness: Compliance with data security should be maintained through the migration process. Adaptation of business goals: Make sure the new environment supports organizational goals as faster insights or cost savings. Workload assessment: Choose between batch treatment or data flow in real time depending on operating needs.

A clearly defined strategy will prevent common pitfalls such as loss of data, downtime or inconsistent reporting.

Choosing the Right Migration Path There are two widely adopted approaches to data movement: ETL Migration: Extract, Transform, Load processes are better for complex transformations before data reaches its destination. ELT Modernization: Extract, Load, Transform allows the target system to handle transformations, offering faster ingestion and scalability.

Role of Data Integration Services A successful migration demands expert handling of source and target compatibility. These services also support data pipeline automation, which improves processing speed and reduces errors from repetitive tasks.

Automated pipelines enable continuous data flow between legacy systems and modern platforms, allowing incremental testing and validation during the process.

Safety and compliance measures Migration opens several access points, increase in contact with data breech. Businesses have to be implemented:

Role-based access control.

End-to-end encryption.

Compliance checks formed with industry standards like GDPR or Hipaa.

Monitoring tools can further help track migration progress and give flags to discrepancies in real time.

Partner with Celebal Technologies In Celebal Technologies, we offer special ETL/ELT modernization and migration solutions for enterprise scalability. From EDW to Data Lake migration, to data pipeline automation and data security compliance, our expert-led approaches ensure a smooth transition with minimal risk. Choose the Celebal Technologies as your partner in management of mass migration with efficiency, accuracy and accuracy.

[singleactionjack]

Just some MH theory shit but

(MH WILDS SPOILERS)

Anybody feeling like the Dragontorch is probably an even bigger monster that we haven't been fully privy to? Like, it feels like a reasonable approach to handle the lore and plot that has been built up so far. Hear me out. I'm calling this the Wyrm Mother theory

So on the one hand, we have Zoh Shia (and the black dragons in the greater MH lore). Zoh seems to be an artificial black dragon made by Wyveria as a tool of war/protection? I feel a lot of fans have looked at Zoh as both a canonization of the Equal Dragon Weapon from the old MH concept art book as well as implicit justification of Fatalis' role in the series.

Fatalis' in some flavor text is said to hate humanity, showing a level of intelligence and hostility to humans unseen in other monsters. It's nature and local is as shrouded as the ancient civilization that has been lost to time. It's such a dangerous creature that killing it doesn't kill it; that crafting gear from it risks you turning into one, or weapons continuing to grow and regenerate.

Something a lot of us have thought is that the ancient civilization lore from the art books is why Fatalis seems to hate humanity; that they committed acts of atrocity on monsterkind. The scrapped lore seemed to suggest mankind slaughtered countless dragons to build their towers into the heavens. The EDW being an idea of them even turning corpses of dragons into living weapons that they had control over.

Fast forward to Modern Day, Zoh Shia (and the other guardians) seem to be a clear reimagining of these concepts. Guardians are sterile, artificial monsters that exist to protect Wyveria, even long after Wyveria fell. A textual affront to nature, creatures with no reproduction systems and underdeveloped organs who exist as tools for mankind. Monster Hunter as a series has strayed from high fantasy since its beginning, and the idea that a powerful dragon would be disgusted by affronts to nature like that seems like a reasonable justification. Especially Zoh Shia.

Zoh Shia seems to be even more of an affront that the other guardians. Where the others appear to be flat recreations of preexisting monsters, Zoh seems to be a contained amalgamation of the anatomy and abilities of several black dragons. It visually has moves from SafiJiva, Alatreon, Shara Ishvalda and Gaismagorm. But it also has directly ripped abilities from all 3 known Fatalis subspecies, having Fatalis' fire breath, Crimson Fatalis' leaping lava, and White Fatalis' dragon lighting. It seems to be a sort of Swiss army elder that imitates Fatalis, even sharing similar body parts (like eyes). They say that Wyveria fell, not from the impending threat of war, but from their own creation.

BUT

On the other hand, all of the guardians and Zoh Shia are connected by one factor. A factor that seems to reach throughout the entire region.

Wyvern Milk ( or Wylk) is present in some form throughout basically the entire gameworld. Springing up and crystalizing in places all over. In the end of the low rank story, you find out that the Dragontorch, this source of seemingly endless energy, rests beneath Wyveria, and it feeds energy (and wylk) throughout the entire region. Their cycle of seasons, thriving ecosystems, all of it, are all directly fueled by the Dragontorch.

Why does that matter? I'm convinced we may be in store for an even bigger threat in Wyveria.

Recently I saw someone on YouTube point out the oddness of the titles you unlock from beating 20 Zoh Shia:

Specifically, it unlocks Savior, Promise, and Innocent. While Savior makes sense with what we have so far (possibly being the Savior of Wyveria by design), Promise and Innocent seem strange. Promise to who? And innocence, how? The story so far seems to suggest Zoh Shia was syphoning off energy from the Dragontorch, which was negatively effecting the lands around. How is that innocent?

My first thought is...when else is it natural to drink the milk? When you are an innocent child drinking from your mother.

I looked at the games Logo, and noticed some potential symbolism:

The logo shows 6 dragons, four in circles on the side, but two wrapped around each other in the middle. Notably, one is white and solid, while the other is sort of hollow and drawn with only outlines, with its mouth closed. All are connected with solid white to the two center dragons.

I think that the four side dragons represent the cycles of the four main biomes, Desert, Jungle, Tundra, and Volcano, with their circles of life reflected in wrapping circular dragons. Drawing something (I think Wylk) from the dragons at the center. But the two dragons in the center I think are more important.

I think they represent the guardians (and more specifically Zoh Shia) and the Dragontorch. The all white dragon, mouth open, reflects the guardians, specifically Zoh and Arkveld, intertwined with Wylk but opening their mouths to return to what nature intended (To eat for Arkveld, to bellow it's flame for Zoh, and to behave as monsters do for the rest of the guardians).

In contrast, the hollow dragon facing downward represents the Dragontorch, pointed deep below the land. It's essence milked dry into the nearby lands, leaving it empty. But this begs another question: why would it be depicted as a dragon?

I think the game may be building up to a reveal that the Dragontorch is the true atrocity that led to Wyveria's destruction, to Fatalis' hatred of humanity. I think the Dragontorch may be an actual dragon, likely an elder dragon (or black dragon of its own), that was somehow confined by the ancient civilization and syphoned off of to create the infrastructure and resources that Wyveria used to grow in power.

The true reimagining of the ancient civilization concepts, whose entire land rests and thrives on the exploitation of an elder dragon, guarded by facsimiles of nature, destined to destroy themselves in hubris. This is where Zoh Shia comes in again.

The game says Zoh was Wyveria's secret weapon in case of war, but that it brought them to the brink of destruction. And after this calamity, it nestled itself into the Dragontorch to "syphon" energy, leading to chaos in the present. But perhaps that's not what it's doing? What if it's not malicious?

What if, in the Wylk, in this lifeblood, it (along side other guardians) Zoh Shia was being given it's agency back? Just as Arkveld gained it's predation back, and as all other guardians seem to fight each other if through instinct? What if Zoh was given it's agency and it fought back against Wyveria?

Or even more compelling, what if it brought the kingdom down to protect something? What if, this "promise" was to protect the Dragontorch?

I think the team making it Wyvern "Milk" and not essence or blood is intentional. Maybe, upon it's creation, as an artificial black dragon, unstable and chaotic, it was steeped in Wylk, and became aware? A beast now seeing itself be used by mankind, sure, but also seeing how they use the Dragontorch as well. And it fights back, returning to the Dragontorch.

I think perhaps Zoh wasn't drawing power away from the Dragontorch, but instead was consolidating it's power, keeping it present and concentrated. Perhaps the Dragontorch isn't endless, perhaps it is like Fatalis, able to regenerate slowly over time. And Zoh doing what it did prevented the Forbidden Lands from draining the Dragontorch completely.

Maybe that's Zoh's "promise". And its innocence is like any other's; trying to protect its mother. A mother powerful enough to power an entire nation, it resting on her back, but not powerful enough to free herself from bondage. It brought down a kingdom in its hubris, returned to the Dragontorch.

In the same way Arkveld was an extinct species, brought back to life as a puppet who cut their own strings, removed their own chains.

Zoh Shia was a black dragon, made in the image of mankind's devils. Then, it was coddled, fed on mother's milk, dressed in white. It went to stop those hurting its mother, and when done?

It returned, nestled in Wylk. Cradled in it's mother's arms, promising to protect it from mankind. Devil no more, mommy's little angel draped in white wings.

[roukabi]

hi sorry I'm relatively new to mh. what in the world is an edw

SPOILERS FOR MHWILDS UNDER THE CUT

the edw (short for Equal Dragon Weapon) is none other than THIS BAD BOY

Ain't she a beauty? This is the original concept art for the Equal Dragon Weapon (Wyvern Machine Soldier in Japanese, an equally badass name). It was an idea creating during development for the first Monster Hunter game, back when it was a generic fantasy rpg. Splash text next to this image reads,

"The Equal Dragon Weapon was discovered in some ruins, an ancient storage facility. It is possibly the only remaining weapon of war from the age of the Great Dragon War. This man-made dragon was pieced together using parts harvested from over thirty mature dragons.

"However artificial, the Equal Dragon Weapon boasts a might comparable to any living dragon. Its physical strength, endurance, and firepower are said to have posed the most relevant threat to the dragons during the ancient war.

"The technology behind crafting an Equal Dragon Weapon reached its pinnacle during the Great Dragon Wars, but that technology, along with the great dragon hunters of the day (ancestors of the modern day monster hunters), were not destined to last. The humans engaged the dragons in a war of epic scale, with both sides fighting valiantly and viciously until they were simultaneously brought to the brink of extinction."

It's a lot to take in that only scratches the surface of the Ancient Civilization, but most MH fans didn't worry about it. While the Ancient Civ gets mentioned from time to time in-game (Artian armor, Tower map, the Dragonator, etc), the EDW was only a concept created back during Monster Hunter's generic fantasy era. The thing itself was never mentioned in any of the games, nor the Great Dragon War. It was just kind of a white whale for lore lovers to cheer about whenever a glimpse of a mechanical monster appeared (see Ahtal-Neset, and how fans wondered if this was the EDW, when it was in fact the second phase of Ahtal-Ka's fight). Furthermore, with the ecologically-driven direction MH took post-MHGU, something as gruesome and fantastical as the EDW just didn't seem to fit. I had hope, though. The idea of this horrific, unnatural 'monster', without so much as a face, strewn together by parts from entire families of dragons, lying dormant as an ultimate weapon, is freaky as fuck. It's freaky for a generic fantasy game and even FREAKIER for a Monster Hunter game in which every animal you see is rooted in some kind of realism. I guess it's the grossness of it all that captivates me.

Now that was 21 years ago. Flash forward to the week of February 28th, 2025.

With the release of Wilds, pretty much everything about the Equal Dragon Weapon, from the War to the Ancient Civ's treatment of monsters, is mostly canon. 'Mostly', as in, the same lore with a fresh coat of paint. This is what our Equal Dragon Weapon looks like now:

It's an interesting combination of an angel/demon dichotomy and what appears to be an undercoat of Fatalis parts. During the fight, the player's Hunter reacts in horror to Zoh Shia's black flesh, implying that Zoh Shia is an amalgamation of Black Dragon parts (and further implying that the player's Hunter has fought a Black Dragon before). Notice how there are no mechanical parts on Zoh Shia; as previously mentioned, MH is taking a more ecologically-sound direction and therefore the creation of constructs like Guardians and Zoh Shia are more natural. Instead of steel and metal, the Ancient Civilization used Wylk/Wyvern Milk.

I'll admit I miss the graphic frankenstein'd metal monstrosity, but Zoh is still pretty awesome. And all the lore that people said was from a bygone era of MH? Canon. Canon canon canon! It's so Wild(s) checking back on the MH Wiki and seeing the Ancient Civilization page get updated with canonizing information.

So that's the EDW! Short for Equal Dragon Weapon, shorter still for 'Creepiest thing the games will ever come up with, unless the expansion shows us something SUPER fucked up. Like, idk, the OG Equal Dragon Weapon.' If you wanna read more, the MH Wiki has a page: https://monsterhunter.fandom.com/wiki/Ancient_Civilization#The_Forbidden_Act

[umbralstars]

(Monster Hunter Wilds Spoilers)

I was holding this in but OH MY GODS THE ANCIENT CIVILIZATION LORE IS CANON. IT'S CANON. It's been updated ofc, but it's all canon. The devs are modernizing and canonifying pretty much all of the scrapped Ancient Civ lore and it is scrapped no more.

Like there are so many quotes from NPCs in the game that imply towards the Great Dragon War (including the systematic harvest of scores of monsters that unnerves Erik and our Hunter; and Hunters having originated from that war or before it, and like Wyveria falling due to a war), our hunter Recognized Zoh Shia as turning into a Black Dragon. The architecture of Wyveria is almost identical to other Ancient Civ ruins like the Towers we've seen in other games.

Zoh Shia is undeniably the EDW. Everything is undeniably canon and I can't wait to see how far they'll go with it

[fullmxtal-elrich]

"Oh, hey there Edw-"

"Hmm?"

As soon as he stepped in he heard quite a peculiar tune. It didn't sound like any of the Modern World music he hears at his cafe. In fact... it sounded kind of catchy.

And seeing Little Nina dancing around he couldn't help but smile. And... is that his foot tapping to the rhythm?

"Well now, look at you two go~"

@sennenpharaoh

"Oh, Atem! Hey, welcome home!" Ed greeted upon spotting his second father, pausing for a moment to give a welcoming wave and a slight laugh in the process.

"Tem Tem!!" Nina exclaimed, racing over to him the moment she caught sight of him, giggling happily away as she reached up to grab one of his hands.

"Come on, Tem Tem! Come dance with us!!"

@sennenpharaoh

[techmindsacademy]

7 Best Data Warehouse Tools to Explore in 2025

What is a Data Warehouse?

A data warehouse is a centralized repository designed to store large volumes of data from various sources in an organized, structured format. It facilitates efficient querying, analysis, and reporting of data, serving as a vital component for business intelligence and analytics.

Types of Data Warehouses

Data warehouses can be classified into the following categories:

Enterprise Data Warehouse (EDW): A unified storage hub for all enterprise data.

Operational Data Store (ODS): Stores frequently updated, real-time data.

Online Analytical Processing (OLAP): Designed for complex analytical queries on large datasets.

Data Mart: A focused subset of a data warehouse for specific departments or business units.

Why Use Data Warehouses?

The primary purpose of data warehouses is to store and organize data centrally, enabling faster and more efficient analysis of large datasets. Other benefits include:

Improved Data Quality: Processes ensure data integrity and consistency.

Historical Data Storage: Supports trend analysis and forecasting.

Enhanced Accessibility: Allows seamless access and querying of data from multiple sources.

Who Uses Data Warehouses?

Data warehouses cater to various professionals across industries:

Data Analysts: Query and analyze data for actionable insights.

Data Engineers: Build and maintain the underlying infrastructure.

Business Intelligence Analysts: Generate reports and visualizations for stakeholders.

Analytics Engineers: Optimize data pipelines for efficient loading.

Companies often use data warehouses to store vast amounts of customer data, sales information, and financial records. Modern trends include adopting data lakes and data lake houses for advanced analytics.

Top Data Warehouse Tools to Watch in 2025

1. Snowflake

Snowflake is a cloud-native data warehouse renowned for its flexibility, security, and scalability.

Key Features:

Multi-cluster Architecture: Supports scalability and separates compute from storage.

Virtual Warehouses: On-demand setup for parallel workload handling.

Data Sharing: Facilitates secure data sharing across organizations.

Snowflake integrates seamlessly with tools like dbt, Tableau, and Looker, making it a cornerstone of the modern data stack.

2. Amazon S3

Amazon S3 is a highly scalable, object-based storage service, widely used as a data warehousing solution.

Key Features:

Scalability: Capable of handling any data volume.

AWS Ecosystem Integrations: Enhances processing and analytics workflows.

Cost-effectiveness: Pay-as-you-go pricing model.

Ideal for organizations already leveraging AWS services, Amazon S3 offers unparalleled flexibility and durability.

3. Google Big Query

Google Big Query is a server less, highly scalable solution designed for real-time insights.

Key Features:

Fast Querying: Processes petabytes of data in seconds.

Automatic Scaling: No manual resource management required.

Integrated Machine Learning: Supports advanced analytics.

Big Query’s seamless integration with Google Cloud services and third-party tools makes it a top choice for modern data stacks.

4. Data bricks

Data bricks is a unified analytics platform combining data engineering, science, and business intelligence.

Key Features:

Spark-based Engine: Enables fast, large-scale data processing.

ML flow: Streamlines machine learning lifecycle management.

Real-time Analytics: Processes streaming data effortlessly.

Data bricks supports Python, SQL, R, and Scala, appealing to diverse data professionals.

5. Amazon Redshift

Amazon Redshift is a fully managed, high-performance data warehouse tailored for structured and semi-structured data.

Key Features:

Columnar Storage: Optimized query performance.

Massively Parallel Processing (MPP): Accelerates complex queries.

AWS Integrations: Works well with S3, DynamoDB, and Elastic MapReduce.

Its scalability and cost-effectiveness make it popular among startups and enterprises alike.

6. Oracle Autonomous Data Warehouse

Oracle Autonomous Data Warehouse automates the creation and management of data warehouses using machine learning.

Key Features:

Autonomous Operations: Self-tuning and optimized storage.

Elastic Scalability: Adjusts resources dynamically based on workload.

Built-in ML Algorithms: Facilitates advanced analytics.

Best suited for enterprises seeking robust, automated solutions with high performance.

7. PostgreSQL

PostgreSQL is a versatile, open-source relational database that supports data warehousing needs.

Key Features:

ACID Compliance: Ensures data integrity.

Multi-version Concurrency Control (MVCC): Allows simultaneous access.

Extensibility: Offers plugins like PostgreSQL Data Warehousing by Citus.

Its robust community support and adaptability make PostgreSQL a reliable choice for organizations of all sizes.

Next Steps

Key Takeaways:

Data warehouses enable efficient organization and analysis of large datasets.

Popular tools include Snowflake, Amazon S3, Google BigQuery, Databricks, Amazon Redshift, Oracle, and PostgreSQL.

How to Advance Your Knowledge:

Explore Data Analytics Tools: Get acquainted with platforms like Tableau and dbt.

Learn Data Analytics: Try Career Foundry’s free, 5-day data analytics short course.

Join Live Events: Participate in online events with industry experts.

Take the first step towards becoming a data analyst. Enroll in Career Foundry’s data analytics program and unlock a new career path today.

[wikiuntamed]

Five steps of Wikipedia for Monday, 28th August 2023

Welcome, Bienvenue, 안녕하세요, Bienvenida 🤗 Five steps of Wikipedia from "Cloth Act 1337" to "Amend (motion)". 🪜👣

Start page 👣🏁: Cloth Act 1337 "The Cloth Act 1337 (11 Edw. 3. c. 2) was an Act of the Parliament of England passed during the reign of Edward III. The Act legally obliged all English people to wear English-made cloth. It was part of a group of Sumptuary Laws intended to preserve class distinctions...."

Image licensed under CC BY-SA 3.0? by Sodacan

Step 1️⃣ 👣: Repeal "A repeal (O.F. rapel, modern rappel, from rapeler, rappeler, revoke, re and appeler, appeal) is the removal or reversal of a law. There are two basic types of repeal; a repeal with a re-enactment is used to replace the law with an updated, amended, or otherwise related law, or a repeal without..."

Step 2️⃣ 👣: Bourinot's Rules of Order "Bourinot's Rules of Order is a Canadian parliamentary authority originally published in 1894 by (the younger) Sir John George Bourinot, Clerk of the House of Commons of Canada under the title A Canadian Manual on the Procedure at Meetings of Shareholders and Directors of Companies, Conventions,..."

Step 3️⃣ 👣: Beauchesne's Parliamentary Rules and Forms "Beauchesne's Parliamentary Rules and Forms is a Canadian parliamentary authority. The first edition was published in 1922 by Arthur Beauchesne, Clerk of the House of Commons of Canada from 1925 to 1949. ..."

Step 4️⃣ 👣: Chairperson "The chairman, also chairperson, chairwoman or chair, is the presiding officer of an organized group such as a board, committee, or deliberative assembly. The person holding the office, who is typically elected or appointed by members of the group or organisation, presides over meetings of the group,..."

Image licensed under CC BY 2.0? by OPCW

Step 5️⃣ 👣: Amend (motion) "In parliamentary procedure, the motion to amend is used to modify another motion. An amendment could itself be amended. A related procedure is filling blanks in a motion...."

[leaplogicc]

Automated Cloud Migration

Automated cloud migration includes the seamless and orchestrated transition of applications, infrastructure, and data from on-premises environments to cloud platforms by leveraging automation. By automating the cloud migration process, enterprises can reduce human errors, accelerate deployment, and optimize resource allocation. With minimum human intervention, automated cloud migration helps to reduce the migration cost and enhances performance. The need to adopt automated cloud migration arises from the demand for greater efficiency, rapid provisioning, and reduced operational costs. With automation capabilities, enterprises can harness the transformative potential of cloud computing swiftly and securely. Hence, it marks a strategic shift in your cloud modernization journey.

[rahabs]

9, 13 for history asks!

9. Favourite historical film?

Oh no... I love too many. I can never decide between "Joseph: King of Dreams" and "The Prince of Egypt" going from sheer rewatch value.

If animated historical films don't count, then I'll confess a soft spot for Cutthroat Island, and I adore The Mummy.

13. [share some random historical trivia!]

In times past, and in old English law, there was a difference between high treason and other sorts of treason.  In 1351 Edward III instituted the Treason Act (act 25 Edw. III, Stat. 5, c. 2), which defined and outlined the different sorts of treason under English law, distinguishing between petit or petty treason and high reason.  Petty was an offence committed against a subject of the king.  In the Treason Act, the example given was “when a servant slayeth his master, or a wife her husband, or when a man secular or religious slayeth his prelate.”  High treason was “an offence against the king’s majesty” or (later) “the safety of the commonwealth.”  The Treason Act defined high treason as, to modernize in language:

“[…] compassing or imagining the king's death, or that of his wife or eldest son, violating the wife of the king or of the heir apparent, or the king's eldest daughter being unmarried, levying war in the king's dominions, adhering to the king's enemies in his dominions, or aiding them in or out of the realm, or killing the chancellor or the judges in the execution of their offices.”

By the time of the Tudors and the reign of Henry VIII, there had been recent supplements to the treason laws—in the two centuries following the original implementation of the Treason Act, it had been supplemented thirty-nine times, thirty-two of which were by the Tudor monarchs alone.

Some sources:

Treason Act (Act 25 Edw. III, Stat. 5, c. 2) in Great Britain. The Statutes (The Statutes, Volume 1; Volume 1236). Eyre & Spottiswood, 1870, at page 186. See also the full act at Treason Act (Act 25 Edw. III, Stat. 5, c. 2): https://www.legislation.gov.uk/aep/Edw3Stat5/25/2

Turvey, Roger. The Treason and Trial of Sir John Perrot. Cardiff: University of Wales Press, 2005.

[books0977]

L'Estampe Originale (1895). Henri de Toulouse-Lautrec (French, 1864-1901). Poster magazine cover. Printer: Imp. Edw. Ancourt, Paris

André Marty felt that Lautrec "deserved ‘a place of honour in the golden book of the modern print’... [and he] accorded Henri exactly that place, using him as the artist for the cover of the first issue." Lautrec shows us his favorite model, Jane Avril, at his favorite lithographic workshop, Ancourt, studying a proof pulled by Père Cotelle, the experienced printer at the Bisset press behind her.

[hanasatoblogs]

Big Data vs. EDW: Can Modern Analytics Replace Traditional Data Warehousing?

As organizations increasingly rely on data to drive business decisions, a common question arises: Can Big Data replace an EDW (Enterprise Data Warehouse)? While both play crucial roles in managing data, their purposes, architectures, and strengths differ. Understanding these differences can help businesses decide whether Big Data technologies can entirely replace an EDW or if a hybrid approach is more suitable.

What Does EDW Stand for in Data?

An EDW or Enterprise Data Warehouse is a centralized repository where organizations store structured data from various sources. It supports reporting, analysis, and decision-making by providing a consistent and unified view of an organization’s data.

Big Data vs. EDW: Key Differences

One of the primary differences between Big Data and enterprise data warehousing lies in their architecture and the types of data they handle:

Data Type: EDWs typically manage structured data—information stored in a defined schema, such as relational databases. In contrast, Big Data platforms handle both structured and unstructured data (like text, images, and social media data), offering more flexibility.

Scalability: EDWs are traditionally more rigid and harder to scale compared to Big Data technologies like Hadoop and Spark, which can handle massive volumes of data across distributed systems.

Speed and Performance: EDWs are optimized for complex queries but may struggle with the vast amounts of data Big Data systems can process quickly. Big Data’s parallel processing capabilities make it ideal for analyzing large, diverse data sets in real time.

Big Data Warehouse Architecture

The Big Data warehouse architecture uses a distributed framework, allowing for the ingestion, storage, and processing of vast amounts of data. It typically consists of:

Data Ingestion Layer: Collects and streams data from various sources, structured or unstructured.

Storage Layer: Data is stored in distributed systems, such as Hadoop Distributed File System (HDFS) or cloud storage, allowing scalability and fault tolerance.

Processing Layer: Tools like Apache Hive and Apache Spark process and analyze data in parallel across multiple nodes, making it highly efficient for large data sets.

Visualization and Reporting: Once processed, data is visualized using BI tools like Tableau, enabling real-time insights.

This architecture enables businesses to harness diverse data streams for analytics, making Big Data an attractive alternative to traditional EDW systems for specific use cases.

Can Big Data Replace an EDW?

In many ways, Big Data can complement or augment an EDW, but it may not entirely replace it for all organizations. EDWs excel in environments where structured data consistency is crucial, such as financial reporting or regulatory compliance. Big Data, on the other hand, shines in scenarios where the variety and volume of data are critical, such as customer sentiment analysis or IoT data processing.

Some organizations adopt a hybrid model, where an EDW handles structured data for critical reporting, while a Big Data platform processes unstructured and semi-structured data for advanced analytics. For example, Netflix uses both—an EDW for business reporting and a Big Data platform for recommendation engines and content analysis.

Data-Driven Decision Making with Hybrid Models

A hybrid approach allows organizations to balance the strengths of both systems. For instance, Coca-Cola leverages Big Data to analyze consumer preferences, while its EDW handles operational reporting. This blend ensures that the company can respond quickly to market trends while maintaining a consistent view of critical business metrics.

Most Popular Questions and Answers

Questions: Can Big Data and EDW coexist?

Answers: Yes, many organizations adopt a hybrid model where EDW manages structured data for reporting, and Big Data platforms handle unstructured data for analytics.

Questions: What are the benefits of using Big Data over EDW?

Answers: Big Data platforms offer better scalability, flexibility in handling various data types, and faster processing for large volumes of information.

Questions: Is EDW still relevant in modern data architecture?

Answers: Yes, EDWs are still essential for organizations that need consistent, reliable reporting on structured data. However, many companies also integrate Big Data for advanced analytics.

Questions: Which industries benefit most from Big Data platforms?

Answers: Industries like retail, healthcare, and entertainment benefit from Big Data’s ability to process large volumes of unstructured data, providing insights that drive customer engagement and innovation.

Questions: Can Big Data handle structured data?

Answers: Yes, Big Data platforms can process structured data, but their true strength lies in handling unstructured and semi-structured data alongside structured data.

Conclusion

While Big Data offers impressive capabilities in handling massive, diverse data sets, it cannot completely replace the functionality of an Enterprise Data Warehouse for all organizations. Instead, companies should evaluate their specific needs and consider hybrid architectures that leverage the strengths of both systems. With the right strategy, businesses can harness both EDWs and Big Data to make smarter, faster decisions and stay ahead in the digital age.

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[recurring-polynya]

I am starting an entirely self-indulgent thread of my favorite RenRuki songs. I am trying to stick to the really, really RenRuki ones, and not just, ones I get a mood off of. Please feel free to send me your own faves, I might try to make a compilation. My musical aesthetic leans toward modern indy/folk.

First off, I don’t want to duplicate, but please also refer to these superb playlists by other people:

Sword & Shield/Star & Stray

Renji’s Drunk Karaoke Playlist

Song suggestions for numerous Rukia ships but A Lovely Mess is very good

Onto mine!

So, right now, my absolute #1 Renruki song is Messengers by Jared & the Mill. I am trash for this song. My dumb heart. I wish I were any good at moodboards or whatever. Please someone make me a edit of something with this song, I would die. But if you’re searching for worth Well, you’ll find it with her But she’ll ask for your trust ‘Cause it's hard being shown how to learn So, let her know that the stars Haven’t moved, God, I hope they’re the same Tell her life could be worse And I’m trying my best now to change

I Can’t Believe I Found You In That Town by Mike Doughty I don’t write songfic, because I am nearly 40-frickin’-years-old, but I am writing an Inuzuri fic by this name, because it’s extremely perfect. This is my #1 Mike Doughty pick, but I hope we all know how I feel about Madeline and Nine by now. Oh my days, they were so easy Till I kissed you in that door Now my arms, they feel so empty Like they never did, before

Etta James by Brian Fallon. All Brian Fallon songs are Renji songs, but this one is especially RenRuki. And for most of my sad life I figured I was gonna die alone 'Cause I just burned in the curve of my scars Twenty long years away from your heart But finally, finally, my love is in my arms

Two Princes by the Spin Doctors. I am not taking questions at this time.

Anywhere by Passenger. Look, we all know that Let Her Go is an extremely good Renruki song, but may I also propose this one as a running-around-in-matching-caps follow-up? Darling that’s when I’m with you / I’ll go with you anywhere

Part of Me by Good Old War. This and Looking For Shelter are my big Leaving Inuzuri songs. We've got to run If you're holding on the seams will come undone And you'll only get part of me We don't want to catch a break while we're playing it safe You'll only get part of me

Homemade Dynamite by Lorde. This is also on my Self-Destructive Teens in Inuzuri playlist, and also, Lorde had a secret Instagram for reviewing onion rings, and that is Big Rukia energy right there. So let's let things come out of the woodwork I'll give you my best side, tell you all my best lies Seeing me rolling, showing someone else love Hands under your t-shirt Know I think you're awesome, right?

The Harold Song by Ke$ha. This is my go-to Rukia-pines-for-Renji song, again, I am not taking questions. Or when you took me, across the world, we Promised this would last forever but now I see It was my past life A beautiful time Drunk off of nothing but each other till the sunrise

Girl in the War by Josh Ritter If they can’t find a way to help her, they can go to hell

The Night We Met by Lord Huron I had all and then most of you / Some and now none of you

Home by Edw. Sharpe and the Magnetic Zeroes. I realize this has a lot of American place names in it, but it’s a Big Renruki Mood, especially the spoken word bit in the middle about falling out of a window. "While you were sitting in the backseat smoking a cigarette You thought was gonna be your last I was falling deep, deeply in love with you And I never told you 'til just now"

The Heart is a Muscle by Gang of Youths. Ha ha you knew it was coming I wanna be loved I wanna be whole again So tuck my hair behind my ears And touch my soul again

[silverhallow]

Modern day Kate

Kate Sharma is chaos personified. Often acting first and thinking later and jumps to conclusions a lot.

As a baby she bypassed crawling and just started walking, and once she was up, she would run rather than walk. She would be up early and often not nap, her mother and father were often exhausted just trying to stop her running into things. By the time she was 2 she’d ran into the fireplace in their home 6 times before they realised, she wasn’t going to learn her lesson and just got it taken out.

She was always outside, her mum used to take her outside in her crib and she loved being out. The day her mother died, though Kate can’t remember it, she still has nightmares about the accident. She can drive herself but refuses to drive if it is raining. She once slept in the Uni Library to avoid driving home in a storm.

Miles Sharma was a GP in Taunton, Somerset, the little village when Kate grew up. He met Mary, 9 months after Kate’s mother died in her accident. They married 9 months later. Kate loved Mary, Mary helped Kate come back out of her shell after the accident and helped her recover from the accident. Edwina was born 2 years later. Kate adored her sister from the off. She was really protective of her sister from day one.

Kate was given detention in first school for punching a boy who was two years older than Edwina when he teased her about her pigtails.

Kate was very clever as a child, despite her always being in motion and moving, she fidgeted with pens and her tapped her feet and twiddled her fingers in class but she got really good grades. When she was little, she wanted to be a doctor like her dad but after she had seen him tend to someone who had been in a farm accident, and there was lots of blood, and she’d been sick, like projectile vomit sick, fainting… she changed her mind. She’s still no good with blood, even her own!

It was Mary who suggested Law. Kate loved defending people, she was strong and hated bullies and Mary had thought Law would be a good choice for her.

Kate for the results she needed and got into UCL, passing the aptitude test with the highest marks in the country that year. She adored contract law in her first year and for electives in her final year chose to study Employment Law, Human Rights in the UK, Family Law and Company law.

Her dad died in her last year of university, Edwina was 16 doing her GCSE’s. it was sudden, it was just a stoke of luck that Kate had actually gone home for the weekend, to this day she couldn’t tell you why she went home that weekend, but she did… and watched in horror as her father had a stroke and died.

Despite her sister and Mary, Kate had never felt more alone. Both her parents gone, she was for all intents and purposes an orphan

Kate was going to miss graduation, but Mary outright refused. Kate had earned a first, she had graduated TOP of her entire class and had an internship at a large law firm which was really hard to get into. Edwina was coming to London in September to attend St Andrew’s to Philosophy and as a model, (she’d been headhunted and agreed to do it part time with Mary acting as an agent)

Every Monday Night, Kate would go to Mary’s with Edwina and they would cook dinner together, Kate would tell them about her cases, her work and Edwina would tell them about Uni and Mary would tell of her Charity work she was doing.

Kate was 23 when Mary gave her Newton, it was her birthday present, Kate had always wanted a corgi, and finally, when Kate got her own flat, Mary bought her the dog. Kate takes him to day care near her work and walks him home.

She has a beat-up old Ford Focus that her dad gave her when she got her place in UCL. It was her early 19th Birthday present her dad had said. She rarely used it now she was in London, as it was just dangerous driving in London, but she adored her car.

Kate adores her sister but hates it when people try to compare them. She is aware of how beautiful Edwina is, their skin tones were similar, but Edwina just seemed to sparkle compared to her. Kate found her hair just would never quite lie “right” whilst it seemed effortless for Edwina.

Kate could have easily been resentful of her sister getting all the attention, but her sister was so kind and caring that it was impossible. She wasn’t quite a plain jane but its how she felt.

She was a tomboy, she loved being outdoors, she played hockey at University, she LOVES Rugby and she was a big Bath fan with and used to go to the home games with her dad when she was younger. She loves wearing make up and having her hair down but usually she wears it up as it’s more professional than her mass of curls

Whilst she is comfortable in her high tops and jeans, she tends to wear pencil skirts, blouses and heels for work. She loves wearing heels and finds that the make her feel more confident and help her self-confidence, which she had to admit isn’t high. For special occasions, she will either go traditional Indian attire with her heritage, if the situation calls for it, or she will wear an evening dress. She loves the feel of silk on her skin and adores wearing green, that is when she feels truly like she could maybe, just maybe, she could be compared with her sister.

She doesn’t believe people when they call her beautiful, not that it’s happened often. The only time its happened is when people try to butter her up to get to her sister. Pretty, even lovely at times might work as a compliment but Kate rarely gets them about her looks, so she’d think you were lying.

She had one sort of serious boyfriend early in University but after a really bad first time, it quickly fizzled out. Mary has joked about setting her up with someone back in Somerset, but Kate is rather content being single.

Being Head hunted by Bridgerton Enterprises for a Junior Assistant Solicitor role was the biggest surprise of her life. Meeting the demure looking head of HR was as much of a surprise, but the job was an amazing opportunity and its one of the largest private companies in the UK, so she took it.

She may have butted heads… and trod on toes (literally) on her first day with the director but onwards and upwards? Surely, he won’t hold it against her after she stops a sex scandal?

Favourite Food: Kate adores spice. She once destroyed some idiots who took her on in a raw chili eating competition in fresher’s week. She won herself £100 that week, it was rather funny. If its not spice, Lemon cake is a particular favourite of hers.

Favourite place: top of one of the hills overlooking her town, sitting in the grass, the flowers all around her taking in a fresh spring day. Or strolling through Hyde Park with Newton

Secret Skills: Watercolourings, she’s really good at painting and finds it relaxing. She’s got her mother’s old Tabla, she can’t really play them she’s tired but its just noise.

Relationship history: one past boyfriend, few bad dates but other than that nothing.

She’s a competitive monster, she once snapped her hockey stick in frustration after loosing a game in University. She likes to win. She LOVES pub quizzes and trivia games. Mary had to ban her playing trivia pursuit when she was younger, and she wasn’t allowed to play board games at primary school because of it.

She was often in trouble for her competitiveness in school. She’s very sarcastic and has a sharp wit, which often got her in trouble as well and she loves having the last word in an argument.

She likes to go for runs, she was supposed to do the London Marathon in 2013 but a bad hamstring injury caused her to pull out.

When it comes to TV and Movies, Kate hates horror films and thrillers. She likes films that are based on books, action films or chick flicks and please dear god no musicals. Her dad was a fan of the Bond films, so she likes to watch those as they remind her of him.

As an adult, Kate is still chaos personified, her work calendar is a mess that only she understands what the hell is going on, her case notes are the same. She usually comes flying into the office, either a coffee or a Chai (if she’s had time to make her own. She will not buy shop bought chai) (its bloody awful) in her hand as she’s grabbing files and runs through the office in her 4-inch heels. Her colleagues are shocked at how fast the woman can run in them.

The first time they saw her without them on they all couldn’t believe how little she is (she’s 5”6) but she’s like a whirlwind, she rattles through her work quicker than anyone else. She does sometimes (okay most days) forget to eat lunch and is often still in the office long after everyone else has gone home but she’s been brought up to work hard and feels like she has to prove herself after being headhunted.

Kate rarely goes out after work but when she does go to a pub quiz (most of her old Uni friends won’t go with her now as she’s too bloody competitive) she’ll drink either Gin and Tonic or a red wine.

[alookathersoul]

Data Lakes Reinvented New age Applications

The data lake solutions has earned a wide reputation in the latest years. It boasts of the modern design pattern which is capable of fitting the data of the latest time. This pattern is useful to the potential audience in using and organizing the data. 

For instance, a wide array of business enterprises intends to incorporate the data faster into the lake. Hence, employees of the organization can avail the data for analytics and operation. 

The organization aims to store the data in the raw and original state, which offers a helping hand in processing it in various layers. It brings a revolution in the operations of business analytics. They want to capture the unstructured data, big data and other data from different sources.

The potential audience is under tremendous pressure for creating an organizational advantage and business value from different types of data collections through different discovery-oriented analytics. 

A data lake provides assistance with all the needs and trends as the potential audience can resolve all the challenges of the data lake. As data lake is totally new, the design patterns and best practices are still a bit baffling. 

Here are some of the primary applications of a data lake which are beneficial to the data management professionals along with the business counterparts.

Incorporation of data faster with no or less front improvement

Early ingestion and late processing happen to be an integral part of the data lake. As you opt for the late processing and early ingestion practice, it offers the suitable choice to integrate to the data for the reporting, operations, and analytics. 

It demands different diverse ingestion techniques for handling diverse interfaces, data structures, and container types which are useful in scaling to real-time latencies and massive data volume. It is also useful in simplification of the onboarding of data sets and data sources.

Persisting the data into the raw state for preserving the original schema and details

Detailed source data is known to be preserved into the storage. So, you will be capable of repurposing the data continuously with the upcoming of new business needs. In addition to this, raw data is necessary for discovery-oriented analytics and exploration. This data works wonders with detailed data, large data sample, and data anomalies.

Controller the loading of data into the lake

If the data is not controlled, there are risks that it might get converted to the data swamp. Due to this, the data lake becomes an undocumented and disorganized data set which cannot be leveraged, governed and navigated easily. You can make the best use of policy-based data governance for seeking control. The data curator and steward enforce the anti-dumping policies into the data lake.

Also, the policies provide exceptions as the data scientist, and data analyst throws the data in the analytics sandboxes. You need to document the data, once it goes into the lake with the aid of the business glossary, information catalogue, metadata, and different semantics. It provides the choice to the potential audience for optimizing queries, finding the data, governing the data. It also plays an integral role in decreasing data redundancy.

Integration of data into the structure, diverse sources and vintages 

A wide array of the potential audience makes use of the modern big data and traditional enterprise data on the Hadoop-based data to increase the customer views, advanced analytics, enriching different cross-source correlations to seek insightful segments and clusters. Besides this, some business organization seeks the blended data lake to allow sentiment analysis, logistics optimization, predictive maintenance, to name a few.

Capturing big data and different new data sources within the data lake

An integral part of data lakes are deployed with the aid of Hadoop, whereas few of them are deployed on traditionally systems and Hadoop partially. There are a plethora of data lakes which handle big data since Hadoop contributes to being a perfect choice. Hadoop-based data lakes offer a helping hand in capturing massive data catalogue from a bunch of new sources.

Different architectural and technical purposes

A single data lake will be capable of fulfilling different architectural objectives which include data staging and landing. As Data Lake comes with a variety of architectural roles, it should be distributed in a bunch of data platforms, where each of them come with unique processing and storage features.

Improving and extending the new and old data architecture

A wide part of the data lakes are considered to be an integral part of the multiplatform data ecosystem. Common instances of such data lakes include omni-channel marketing, data warehouse environment, and digital supply chain. Also, different traditional applications of a data lake are inclusive of content management, financial, multi-module ERP, document archiving. The data lake is recognized to be the modernization strategy which is useful in extending the functionality of the data environment.

Choosing different data management platforms which accomplish data lake needs

Hadoop is considered to be the preferred data platform owing to the linear scalability, lower price and powerful for analytics. But, few potential audiences implement MPP or massive parallel processing relational database as the data lake needs relational processing.

Allowing self-service best practices

It is inclusive of data visualization, data preparation, data exploration and different types of analytics. A wide array of the savvy potential audience wants access to the data lake. Key components allow self-service functionality.

Hybrid platforms have become the latest buzz in the town. This data storage platform is beneficial in analyzing, processing and holding the unstructured and structured data. It is possible to use such a platform in combination with EDW and enterprise data warehouse. 

Such a data storage platform helps in saving an ample amount of money as business enterprises make use of easy to obtain and budget-friendly hardware. In the data lake, data are preloaded in the raw formats. Instead, they are preconfigured after an entry into the company systems. 

They are considered to be the combination of relational and Hadoop systems on the on-cloud and on-premises systems. With a wide array of data collections, the company finds a rise in cloud storage.