This document contains Gilberto Pena's personal budget for monthly expenses from January to December 2019. It shows his monthly income from payroll after taxes and deductions, as well as monthly expenses including rent, utilities, car payments, insurance, gas, groceries, and savings. By tracking expenses against his net monthly income, he is able to calculate a net monthly change and cumulative savings.
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Government Spending and Revenue, 1792-2009Dan Ewert
NOTE: This spreadsheet isn't very good looking at through Slideshare, but you'll find the data and the graphs great when you download it. So download it.
A spreadsheet with figures entered for various aspects of government spending and revenue for the years 1792 to 2009. Subsequent tabs adjust for inflation and categorize different aspects for good comparisons. The last tab has all the graphs for each tab for the entire 217 years and also from 1900 to 2009.
Government Spending and Revenue, 1792-2009Dan Ewert
NOTE: This spreadsheet isn't very good looking at through Slideshare, but you'll find the data and the graphs great when you download it. So download it.
A spreadsheet with figures entered for various aspects of government spending and revenue for the years 1792 to 2009. Subsequent tabs adjust for inflation and categorize different aspects for good comparisons. The last tab has all the graphs for each tab for the entire 217 years and also from 1900 to 2009.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
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Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
2. Expenses
Gilberto Pena
Date created: 31/07/19
8/18/19
Utilities $200
Rent $600 Car Loan 15,000$
Car Loan* $273 Interest Rate 3.50%
Car insurance $150 Years 5
Gas $300 Months 60
Groceries $120 Payment $272.88
Phone $60
Savings* $200
Monthly $200
Interest Rate 1.50%
Years 5
Months 60
Already Have $0
Future. Value $12,453.39
Savings Plan
Car Payment
List of Expenses
3. Income
Gilberto Pena
Date Created: 31/07/19
8/18/19
Hourly Salary $26
# of Hours $40
2 week pay 2,080$
Annual Salary 54,080$
Income Tax Withholding 10.00% 208.00$
Social Security Tax 6.20% 128.96$
Medicare Tax 1.45% 30.16$
Benefits 2.00% 41.60$
Health insurance 1.00% 20.80$
Income
Deductions