Featured Post

Python Set Operations Explained: From Theory to Real-Time Applications

-
Image
A  set  in Python is an unordered collection of unique elements. It is useful when storing distinct values and performing operations like union, intersection, or difference. Real-Time Example: Removing Duplicate Customer Emails in a Marketing Campaign Imagine you are working on an email marketing campaign for your company. You have a list of customer emails, but some are duplicated. Using a set , you can remove duplicates efficiently before sending emails. Code Example: # List of customer emails (some duplicates) customer_emails = [ "alice@example.com" , "bob@example.com" , "charlie@example.com" , "alice@example.com" , "david@example.com" , "bob@example.com" ] # Convert list to a set to remove duplicates unique_emails = set (customer_emails) # Convert back to a list (if needed) unique_email_list = list (unique_emails) # Print the unique emails print ( "Unique customer emails:" , unique_email_list) Ou...
Post a Comment

OpenStack Private Cloud, What IT Developers Should Learn

-
An example of OpenStack Usage: The second largest car manufacturer in the world, Volkswagen Group, will use the open-source cloud computing platform OpenStack to build a private cloud that will host websites for its brands VW, Audi, and Porsche, and will be a platform for innovating automotive technology, the company announced Wednesday.
#OpenStack-private-cloud-how-to-use-it:
Photo Credit: Srini
For the past two years, VW officials at the company’s Wolfsburg, Germany, headquarters debated what platform to use. VW decided to first build out a private cloud based on OpenStack that will eventually span thousands of physical nodes across multiple data centers in the U.S., Europe, and Asia. Eventually, VW hopes to incorporate public cloud resources to create a hybrid cloud, said officials with VW’s consultant, Mirantis.

When fully built out, VW’s private cloud could be one of the top five or 10 largest OpenStack-based clouds in production, said Mirantis co-founder and chief marketing officer Boris Renski. According to the OpenStack Foundation’s user survey in October 2015, only 7% of OpenStack production deployments surpassed 1,000 nodes. Only 2% of OpenStack deployments were in the industrial/manufacturing industry.
“The Group IT Cloud is a new way to deliver Volkswagen applications at any scale, in a single global network, consistent across VW brands,” wrote Mario Mueller, Corporate Director IT Operational Services & Infrastructure Technologies, Volkswagen Group in an email interview. “Over time, all net new applications will run on this cloud which will naturally replace most of the legacy systems.” It will not replace legacy systems but instead will host most of the company’s newly developed applications.

What is All About OpenStack

It’s built entirely atop x86 hardware, using a Red Hat operating system and the Kernel Virtual Machine (KVM) hypervisor (95% of OpenStack production clouds use KVM, OpenStack’s user survey shows) with Mirantis’ licensed OpenStack distribution provisioning the virtual machines.

VW officials said they’re using OpenStack’s Neutron/OVS/VXLan technology for networking and Ceph for storage, with others likely to be added. Renski said VW is in the final stages of choosing a platform as a service (PaaS) layer to act as an application development and hosting environment that would run on top of the OpenStack IaaS.

Comments

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

SQL Query: 3 Methods for Calculating Cumulative SUM

-
Image
SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than...
Read more

Big Data: Top Cloud Computing Interview Questions (1 of 4)

-
Image
The below are frequently asked interview questions on Cloud computing: 1) What is the difference between Cloud and Grid? Grid: -Information service -Security Service -Data management -Execution Manageement Cloud: - Maintains up-to-date information of resources -Create VMs according to user requirement -Application deploment -User management 2) What are the different cloud standards? -Interoperability standards -Security standards -Portability Standards -Governance and Risk standards 3) What are the two different sub-systems in Cloud computing ? -Management sub system -Resource sub system 4)What is Cloud compouting? The promise of cloud computing is ubiquitous access to a broad set of applications and services, which are delivered over the network to multiple customer. 5) Why we need specialized network for Cloud services? The public Internet is the simplest choice for delivering cloud-based services. In this model, the cloud provider simply purchases Inter...
Read more

5 SQL Queries That Popularly Used in Data Analysis

-
Image
 Here are five popular SQL queries frequently used in data analysis. 1. SELECT with Aggregations Summarize data by calculating aggregates like counts, sums, averages, etc. SELECT department, COUNT(*) as employee_count, AVG(salary) as average_salary FROM employees GROUP BY department; 2. JOIN Operations  Combine data from multiple tables based on a related column. SELECT e.employee_id, e.name, d.department_name FROM employees e JOIN departments d ON e.department_id = d.department_id; 3. WHERE Clause for Filtering Filter records based on specified conditions. SELECT * FROM sales WHERE sale_date BETWEEN '2024-01-01' AND '2024-12-31'   AND amount > 1000; 4. ORDER BY Clause for Sorting Sort results in ascending or descending order based on one or more columns. SELECT product_name, price FROM products ORDER BY price DESC; 5. GROUP BY with HAVING Clause Group records and apply conditions to the aggregated results. SELECT department, SUM(salary) as total_salaries FROM employ...
Read more