Working with Big Data: Tools and Techniques
KDnuggets
SEPTEMBER 11, 2023
Where do you start in a field as vast as big data? Which tools and techniques to use? We explore this and talk about the most common tools in big data.
working-with-big-data-tools-and-techniques 
Big Data Technologies that Everyone Should Know in 2024
Knowledge Hut
APRIL 25, 2024
Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. It is especially true in the world of big data. It is especially true in the world of big data.
Big Data 
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Big Data vs Data Mining
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Big data and data mining are neighboring fields of study that analyze data and obtain actionable insights from expansive information sources. Big data encompasses a lot of unstructured and structured data originating from diverse sources such as social media and online transactions.
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Deciphering the Data Enigma: Big Data vs Small Data
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In today's data-driven world, the volume and variety of information are growing unprecedentedly. As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data.
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5 Big Data Challenges in 2024
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MARCH 7, 2024
The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.
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What is Machine Learning and Why It Matters: Everything You Need to Know
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MAY 2, 2024
It is designed to make computers learn by themselves and perform operations without human intervention, when they are exposed to new data. Thus, the demand for machine learning programmers who have extensive knowledge on working with complex mathematical calculations and applying them to big data and AI is growing year after year.
Top 10 Data Science Websites to learn More
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FEBRUARY 29, 2024
Being a data scientist means constantly growing, enabling businesses to become more data-propelled, and learning newer trends and tools. There are various excellent resources in data science that can help you to develop your skillset. The easiest way to get started is by taking an online data science bootcamp program.
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Top 12 Data Science Case Studies: Across Various Industries
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JANUARY 11, 2024
Data science has become popular in the last few years due to its successful application in making business decisions. Data scientists have been using data science techniques to solve challenging real-world issues in healthcare, agriculture, manufacturing, automotive, and many more.
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Highest Paying Data Science Jobs in the World
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MAY 9, 2024
Data Science, with its interdisciplinary approach, combines statistics, computer science, and domain knowledge and has opened up a world of exciting and lucrative career opportunities for professionals with the right skills and expertise. The market is flooding with the highest paying data science jobs. What is Data Science?
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20 Best Cyber Security Books for Beginners and Professionals
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Due to the growing number of users, devices, and programs in modern enterprises and the influx of sensitive or confidential data, cybersecurity continues to be an increasingly important topic. The security challenges become even more complex as cyber-attacks and attack techniques become more sophisticated and numerous.
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Who is a Big Data Engineer? Skills, Responsibilities, Salary
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MARCH 13, 2024
Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.
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Who is a Big Data Engineer? Skills, Responsibilities, Salary
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MARCH 13, 2024
Wondering what is a big data engineer? As the name suggests, Big Data is associated with ‘big’ data, which hints at something big in the context of data. Big data forms one of the pillars of data science. Big data has been a hot topic in the IT sector for quite a long time.
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Data Science vs Cloud Computing: Differences With Examples
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Some techniques add to the development of technology in the business sectors, including Data Science and Cloud Computing, essential aspects of the technology industry. With the help of data science, one can gather all the critical analyses from vast chunks of data stored in clouds.
Data News — mid-2023 popular articles
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JULY 28, 2023
to the url, so the original articles knows that the traffic comes from me, mainly it's a great way to support me by being discoverable to others I've used the click data to sort articles by popularity. If you have travel time I also recommend you the first episode of Data Minds, my podcast, with Joe Reis. A few numbers.
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Top 16 Data Science Job Roles To Pursue in 2024
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DECEMBER 26, 2023
According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.
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Data Science Foundations & Learning Path
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APRIL 26, 2024
In the age of big data processing, how to store these terabytes of data surfed over the internet was the key concern of companies until 2010. Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data.
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Data Engineering Weekly #167
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Every survey demonstrates an increase in productivity in software development with copilot-type tools. Discover how a universal semantic layer is transforming modern business intelligence, making data more accessible and reliable for organizations striving for informed business decisions.
How to Become Data Scientist in 2024 [Step-by-Step]
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DECEMBER 22, 2023
Every business now incorporates data science into their operations, especially those that recognize the value of data and the potential applications of that knowledge. A data scientist's main responsibility is to draw practical conclusions from complicated data so that you may make informed business decisions.
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Spatial Data Science: Elements, Use Cases, Applications
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In the world of data science, Spatial data science is at the heart of contributing to solving planet-threatening problems such as deciding the location of solar park installation, building urban resilience, predicting crop yield, population density analysis for immunization or disease mapping, and more. What is Spatial Data Science?
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What is Splunk? Tools, Architecture, Advantages
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Splunk is a powerful data analysis tool that can be used to monitor and troubleshoot a variety of systems. Splunk can also be used to generate reports and dashboards to help visualize data. Splunk is a program that primarily functions as a web-style interface for searching, monitoring, and analyzing machine-generated Big Data.
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Top Ethical Hacking Skills for Professional Ethical 2024
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When it comes to the world of information technology, cybersecurity is one of the most important aspects that companies need to focus on in order to protect their data. Ethical hacking is the practice of using hacking techniques to test the security of a computer system or network. What is Ethical Hacking?
Data News — Week 23.16
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APRIL 21, 2023
Analytics engineering future This week Tristan Handy—dbt Labs CEO—wrote a post about the future of analytics engineering: The next big step forwards for analytics engineering. A lot of data teams embraced dbt, or at least the SQL with engineering practices to transform data in cloud data warehouses.
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How to get datasets for Machine Learning?
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APRIL 26, 2024
Also called data storage areas , they help users to understand the essential insights about the information they represent. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. In the real world, data sets are huge.
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Mastering Data Science in 2024 [A Beginner's Guide]
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DECEMBER 26, 2023
Data science is a field of study that works with large amounts of facts and uses splitting tools and methods to uncover hidden patterns, extract useful data, and make business choices. Data scientists use complex machine learning techniques to develop prediction models. Why Should You Learn Data Science?
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Differences Between Business Intelligence vs Data Science
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Data Science and Business intelligence are popular terms in every business domain these days. Though both have data as the fundamental aspect, their uses, and operations vary. Data Science is the field that focuses on gathering data from multiple sources using different tools and techniques.
Top Project Management Trends to Watch in 2024
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But successful projects will become the norm once people learn to work with the trends. From data analytics to sustainability, project managers need to stay up-to-date with these trends to ensure successful project execution. In 2024, we can expect to see a stronger focus on the use of data analytics to drive decision-making.
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Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]
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Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 This demonstrates the increasing need for Microsoft Certified Data Engineers. That’s where data engineers are on the go.
Software Development Estimation: Methods, Process, Tools
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While doing so, several parameters need to be taken care of, such as: how hard the project is, how big it is, and who is working on it. If you want to broaden your knowledge in software development, I recommend enrolling in Software Engineer Bootcamp training to advance your skills further. What Is Software Development Estimation?
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Top 20+ Cyber Security Projects for 2023 [With Source Code]
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OCTOBER 26, 2023
Professionals in cybersecurity are paid well The variety of specialties has increased Almost every business now prefers cybersecurity Top Cyber Security Projects Working on independent cyber security projects is one strategy for gaining a competitive advantage. Beginners with theoretical knowledge should not undertake an impossible endeavor.
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Apache Spark Use Cases & Applications
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MAY 2, 2024
As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R. billion (2019 - 2022).
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Career Opportunities in Software Engineering
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APRIL 23, 2024
In addition, they participate in team meetings and interact with clients to understand their requirements and work efficiently. They must know the functioning and implementation of diverse programs, tools, and techniques. Software engineering is a rapidly growing field with vast career opportunities.
Top 11 Programming Languages for Data Science
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Data science is a multidisciplinary field that requires a broad set of skills from mathematics and statistics to programming, machine learning, and data visualization. The world has been swept by the rise of data science and machine learning. Data scientists are in high demand, and the demand will only continue to rise.
Top Data Science Jobs for Freshers You Should Know
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JANUARY 18, 2024
Data Science has risen to become one of the world's topmost emerging multidisciplinary approaches in technology. Recruiters are hunting for people with data science knowledge and skills these days. Data Scientists collect, analyze, and interpret large amounts of data. Look out for upgrades on analytical techniques.
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Top 10 Six Sigma Black Belt Project Examples & Ideas
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OCTOBER 27, 2023
These include tools and supportive systems. They work in a collaborative manner to assign team members and give them roles and responsibilities. These should be signed affidavits with 3 years of work experience shown in the same. The work experience should be in the Six Sigma Knowledge of Body.
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Future of Six Sigma: Top Trends in 2024
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MARCH 19, 2024
It started as a set of methods and tools to enhance processes across organizations, but now it's a big idea that companies all over the world have started adapting. Six Sigma uses statistical tools and techniques to find and fix mistakes, improving quality and efficiency. But now, a lot has changed.
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Top 20+ Big Data Certifications and Courses in 2023
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SEPTEMBER 6, 2023
It is a well-known fact that we inhabit a data-rich world. Businesses are generating, capturing, and storing vast amounts of data at an enormous scale. This influx of data is handled by robust big data systems which are capable of processing, storing, and querying data at scale.
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Data Warehouse vs Big Data
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APRIL 23, 2024
In the modern data-driven landscape, organizations continuously explore avenues to derive meaningful insights from the immense volume of information available. Two popular approaches that have emerged in recent years are data warehouse and big data. Data warehousing offers several advantages.
What are the Commonly Used Machine Learning Algorithms?
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APRIL 26, 2024
Machine Learning is a sub-branch of Artificial Intelligence, used for the analysis of data. It learns from the data that is input and predicts the output from the data rather than being explicitly programmed. If ML algorithms consume more amounts of data while solving a problem, it results in better performance.
Rough Order of Magnitude (ROM): Types, Examples
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ROM estimates are useful for gaining a rapid understanding of the work required for a project. This is especially useful if they don't yet have the authority to fully explore the nature and specifications of the work. Stakeholders often calculate the cost associated with a project before starting it. What is Rough Order of Magnitude?
Major Benefits of Power BI you Should Know in 2024
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It was released as a standalone product in July 2015 after adding more features including enterprise-level data connectivity and security options, apart from its original Excel features like Power Query, Power Pivot, and Power View. Microsoft developed it and combines business analytics, data visualization, and best practices.
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Six Sigma Process Improvement Methodology
Knowledge Hut
APRIL 25, 2024
First, Six Sigma's data-driven processes ensure that the error in production processes is not more than 3.4.per The beauty of the Six Sigma process is that it is used as a tool, process, or even philosophy. per million opportunities when used as a tool. So, what do all Six Sigma processes consist of? per million opportunities.
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A Day in the Life of a Data Scientist
Knowledge Hut
JANUARY 24, 2024
In today's digital age, where information permeates every corner of our lives, the role of a data scientist bears a striking resemblance to that of a modern-day explorer. Join me on this captivating expedition as we peel back the curtain, revealing the intricacies that define "A Day in the Life of a Data Scientist."
Who is a Machine Learning Software Engineer? Skills, Responsibilities
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MARCH 19, 2024
Data Preparation: The Machine Learning Engineer Software engineers get, clean, and process data so that it can be used in machine learning models. Continuous Improvement: ML software engineers are always working on the model. They do that by tuning the parameters, updating algorithms, and incorporating new data.
Who is an Automation Software Engineer? Responsibilities, Skills, Salary
Knowledge Hut
MARCH 20, 2024
More and more industries are adopting automation in their cultures to avoid repetitive manual work, leading to smoother workflows. Automation engineers understand programming languages, automation tools, and frameworks and are competent in developing workflows that minimize human intervention. Who is an Automation Software Engineer ?
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