Introduction to Databases in Data Science
KDnuggets
SEPTEMBER 8, 2023
Understand the relevance of databases in data science. Also learn the fundamentals of relational databases, NoSQL database categories, and more.
Data Science Foundations & Learning Path
Knowledge Hut
APRIL 26, 2024
The pandemic has led to an increase in data science demand as the world has shifted in pursuit of the "new normal" from offline to online. But what is Data Science? Let's take a look at all the fuss about data science , its courses, and the path to the future. What is Data Science?
Data Science 
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Generative AI Deep Dive: Advancing from Proof of Concept to Production
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
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Top 11 Programming Languages for Data Science
Knowledge Hut
JANUARY 18, 2024
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. It can be daunting for someone new to data science.
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Generative AI Deep Dive: Advancing from Proof of Concept to Production
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Leading the Development of Profitable and Sustainable Products
Highest Paying Data Science Jobs in the World
Knowledge Hut
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.
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Top 16 Data Science Job Roles To Pursue in 2024
Knowledge Hut
DECEMBER 26, 2023
Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture. You can execute this by learning data science with python and working on real projects.
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Differences Between Business Intelligence vs Data Science
Knowledge Hut
APRIL 23, 2024
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.
Introduction to MongoDB for Data Science
Knowledge Hut
NOVEMBER 3, 2023
The need for efficient and agile data management products is higher than ever before, given the ongoing landscape of data science changes. MongoDB is a NoSQL database that’s been making rounds in the data science community. Let us see where MongoDB for Data Science can help you.
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Top 25 Data Science Tools To Use in 2024
Knowledge Hut
MAY 23, 2024
Data science has become the fastest-growing field and a buzzword that every industry knows and leverages. This vast stream of interdisciplinary domains deals with data in different ways. It helps companies understand data and obtain meaningful insights from it. Each of these tools comes with a set of some of these usages.
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Best Data Science Programming Languages
Knowledge Hut
JANUARY 18, 2024
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. It can be daunting for someone new to data science.
Top 16 Data Science Specializations of 2024 + Tips to Choose
Knowledge Hut
DECEMBER 29, 2023
The market for analytics is flourishing, as is the usage of the phrase Data Science. Professionals from a variety of disciplines use data in their day-to-day operations and feel the need to understand cutting-edge technology to get maximum insights from the data, therefore contributing to the growth of the organization.
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Top 10 Data Science Certifications
Knowledge Hut
SEPTEMBER 6, 2023
Nowadays, I often hear people saying they aspire to become data scientists or they want to work with data, but they don’t know the path to do so. I myself have faced this problem and data science certifications come as a rescue for this problem. What is Data Science Certification?
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Is Learning Data Science Hard - A Complete Guide
Knowledge Hut
JANUARY 18, 2024
Data science is a multidisciplinary field that combines computer programming, statistics, and business knowledge to solve problems and make decisions based on data rather than intuition or gut instinct. If you are confident about handling these, you can complete the data science training with a little effort.
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Data Science Course Fees, Eligibility & Duration
Knowledge Hut
JANUARY 22, 2024
In the ever-evolving landscape of technology, where data reigns supreme, the pursuit of mastery in data science, specifically exploring "Data Science Course Fees," has become more than a professional endeavor—it's a journey into the heart of innovation. Welcome to the world of data science.
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Degree Data Science
U-Next
AUGUST 8, 2022
A multidisciplinary area called Data Science makes it possible to draw information from organised and unorganised data. Introduction – What is Data Science? The development of large data, data processing, and quantitative statistics has given rise to the phrase “computer sciences.”
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HBase vs Cassandra-The Battle of the Best NoSQL Databases
ProjectPro
SEPTEMBER 16, 2021
NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies.
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Data Science Roadmap: How to Become a Data Scientist in 2024
Edureka
JANUARY 18, 2024
It emphasizes the importance of reporting strategies, data visualization tools, domain expertise, and lifelong learning for a fulfilling career in data science. Table of Contents Introduction to Data Science What is Data Science? What is Data Science?
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How to Learn SQL Basics for Data Science in 2023?
ProjectPro
DECEMBER 17, 2021
Data science and artificial intelligence might be the buzzwords of recent times, but they are of no value without the right data backing them. The process of data collection has increased exponentially over the last few years. Table of Contents Why SQL for Data Science? Why SQL for Data Science?
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Big Data Technologies that Everyone Should Know in 2024
Knowledge Hut
APRIL 25, 2024
Spark provides an interactive shell that can be used for ad-hoc data analysis, as well as APIs for programming in Java, Python, and Scala. NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase.
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Top 5 Data Science Skills Required In 2022
U-Next
AUGUST 11, 2022
In this blog, you’ll learn what does a Data Scientist do , the Data Science skills required to become a Data Scientist, and much more. lakhs alone makes Data Science an attractive field for job seekers. Are you wondering what does a Data Scientist do to earn such sky-high remunerations? Introduction.
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Data Science Prerequisites 2022: Skills Required
U-Next
SEPTEMBER 9, 2022
One of the most popular and rapidly expanding tech career paths is Data Science. Making judgments and predictions via Machine Learning, prescriptive analytics, and predictive causal analysis is the major application of Data Science. What is Data Science? . Requirement for Data Science .
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GPT and LLMs from a Data Engineering Perspective
Jesse Anderson
SEPTEMBER 14, 2023
There has been quite a bit of writing covering GPT and LLMs from data science and business perspectives. I haven’t seen much from the data engineering side. Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. This is one good example.
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Artificial Intelligence Engineer Job Description to Ace in 2024
Knowledge Hut
MARCH 20, 2024
Handling databases, both SQL and NoSQL. Working on cloud infrastructure like AWS and other data platforms like Databricks and Snowflake. Educational Requirements A Bachelor's and/or Master's degree in a related field such as computer science, advanced mathematics, statistics, artificial intelligence, data science , etc.
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A Prequel to Data Mesh
Towards Data Science
JANUARY 16, 2024
New data formats emerged — JSON, Avro, Parquet, XML etc. Result: Hadoop & NoSQL frameworks emerged. Data lakes were introduced to store the new data formats. Image by the author 2004 to 2010 — The elephant enters the room New wave of applications emerged — Social Media, Software observability, etc.
How to Become a Data Engineer in 2024?
Knowledge Hut
DECEMBER 26, 2023
Companies from startups to the Fortune 500s are looking out for the best and brightest individuals to fill up the role of Data engineers beating out data scientists, cybersecurity analysts, and web developers. What is Data Science? What are the roles and responsibilities of a Data Engineer? What is Data Science?
Most important Data Engineering Concepts and Tools for Data Scientists
DareData
JANUARY 30, 2023
Learn the most important data engineering concepts that data scientists should be aware of. As the field of data science and machine learning continues to evolve, it is increasingly evident that data engineering cannot be separated from it. Examples of NoSQL databases include MongoDB or Cassandra.
Jobprofil des Data Engineers
Data Science Blog: Data Engineering
DECEMBER 23, 2022
Warum Data Engineering der Data Science in Bedeutung und Berufschancen längst die Show stiehlt, dabei selbst ebenso einem stetigen Wandel unterliegt. Was ein Data Engineer wirklich können muss Der Data Scientist als sexiest Job des 21. Jahrhunderts?
Data Engineering Learning Path: A Complete Roadmap
Knowledge Hut
JUNE 23, 2023
Machine learning will link your work with data scientists, assisting them with statistical analysis and modeling. Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Step 4 - Who Can Become a Data Engineer? You can also post your work on your LinkedIn profile.
Top 10 Hadoop Tools to Learn in Big Data Career 2024
Knowledge Hut
DECEMBER 21, 2023
NoSQL This database management system has been designed in a way that it can store and handle huge amounts of semi-structured or unstructured data. NoSQL databases can handle node failures. Different databases have different patterns of data storage. Cons : In Avro, the schema is required to read and write data.
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Most Popular Programming Certifications for 2024
Knowledge Hut
DECEMBER 26, 2023
Today, companies use Python for GUI and CLI-based software development, web development (server-side), data science, machine learning, AI, robotics, drone systems, developing cyber-security tools, mathematics, system scripting, etc. This course teaches R programming for efficient data analysis.
5 Layers of Data Lakehouse Architecture Explained
Monte Carlo
JANUARY 5, 2024
The 5 key layers of data lakehouse architecture Storing structured and unstructured data in a data lakehouse presents many benefits to a data organization, namely making it easier and more seamless to support both business intelligence and data science workloads. This starts at the data source.
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Data Lakehouse Architecture Explained:Â 5 Layers
Monte Carlo
JANUARY 5, 2024
The 5 key layers of data lakehouse architecture Storing structured and unstructured data in a data lakehouse presents many benefits to a data organization, namely making it easier and more seamless to support both business intelligence and data science workloads. This starts at the data source.
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Data Engineer Roles And Responsibilities 2022
U-Next
AUGUST 17, 2022
Because of this, all businesses—from global leaders like Apple to sole proprietorships—need Data Engineers proficient in SQL. NoSQL – This alternative kind of data storage and processing is gaining popularity. The term “NoSQL” refers to technology that is not dependent on SQL, to put it simply.
Top 10 MongoDB Career Options in 2024 [Job Opportunities]
Knowledge Hut
MARCH 22, 2024
Interested in NoSQL databases? MongoDB Careers: Overview MongoDB is one of the leading NoSQL database solutions and generates a lot of demand for experts in different fields. During the era of big data and real-time analytics, businesses face challenges, and the need for skilled MongoDB professionals has grown to an order of magnitude.
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From Oracle to Databases for AI: The Evolution of Data Storage
KDnuggets
FEBRUARY 15, 2022
From Oracle, to NoSQL databases, and beyond, read about data management solutions from the early days of the RBDMS to those supporting AI applications.
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Data Engineer Salary India 2022
U-Next
AUGUST 10, 2022
Data Engineers then store the processed datasets after creating a set of procedures. Skills Needed to Become a Data Engineer. The following are the top 6 skills for Data Engineers: Learning Machines: Most often, data science is connected to machine learning. Data Engineers can get a variety of industry credentials.
Ascending with MotherDuck
Ascend.io
JUNE 22, 2023
Ascend tackles this challenge by offering end-to-end, autonomous, intelligent data pipelines that can deliver data directly to MotherDuck, enabling a variety of analytics and data science use cases with ease, reliability, and efficiency. You want to work with data from sources across your organization in MotherDuck.
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Breaking State and Local Data Silos with Modern Data Architectures
Cloudera
AUGUST 30, 2022
Data Mesh: A type of data platform architecture that embraces the ubiquity of data in the enterprise by leveraging a domain-oriented, self-serve design. A data mesh supports distributed, domain-specific data consumers and views data as a product, with each domain handling its own data pipelines.
MongoDB Architecture
U-Next
AUGUST 25, 2022
An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. Introduction. Conclusion.
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Telecom Network Analytics: Transformation, Innovation, Automation
Cloudera
SEPTEMBER 24, 2021
As data volumes soared – particularly with the rise of smartphones – appliance based models became eye-wateringly expensive and inflexible. They were using R and Python, with NoSQL and other open source ad hoc data stores, running on small dedicated servers and occasionally for small jobs in the public cloud.
Best Morgan Stanley Data Engineer Interview Questions
U-Next
MARCH 1, 2023
A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.
What are the Roles and Responsibilities of an Artificial Intelligence Engineer?
Knowledge Hut
MARCH 13, 2024
As AI is a vast domain, an AI engineer must be familiar with multiple processes, including, but not limited to, software development, data science & engineering, programming, and testing. Their work aligns with that of a data engineer because AI is a data-heavy science, i.e., it requires massive volumes of data to train on.
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Unstructured Data: Examples, Tools, Techniques, and Best Practices
AltexSoft
MAY 12, 2023
A loose schema allows for some data structure flexibility while maintaining a general organization. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. MongoDB, Cassandra), and big data processing frameworks (e.g.,
ACID vs BASE Concepts
Data Science Blog: Data Engineering
SEPTEMBER 24, 2021
BASE Databases While ACID databases are mostly RDBMS, most other database types, known as NoSQL databases, tend more to conform to BASE principles. Some NoSQL databases apply at least partly to ACID rules or provide optional functions to get almost or even full ACID compatibility. But other than ACID, BASE is not a strict approach.
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Data Scientist vs Data Engineer: Differences and Why You Need Both
AltexSoft
OCTOBER 30, 2021
If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.
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