Analytics Vidhya

JULY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the sources of Big Data is the traditional application management system or the interaction of applications with relational databases using RDBMS. Big Data storage and analysis […].

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Analytics Vidhya

MARCH 16, 2023

Introduction This article will be a deep guide for Beginners in Apache Oozie. Apache Oozie is a workflow scheduler system for managing Hadoop jobs. It enables users to plan and carry out complex data processing workflows while handling several tasks and operations throughout the Hadoop ecosystem.

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Analytics Vidhya

JUNE 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hive is a popular data warehouse built on top of Hadoop that is used by companies like Walmart, Tiktok, and AT&T. It is an important technology for data engineers to learn and master. It uses a declarative language called HQL, also known […].

Data Warehouse 271

Data Warehouse Hadoop Data Engineering Data Engineering 271

Analytics Vidhya

APRIL 29, 2022

This article was published as a part of the Data Science Blogathon. Different organizations make use of different databases like an oracle database storing transactional data, MySQL for storing product data, and many others for different tasks. storing the data […].

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Analytics Vidhya

SEPTEMBER 18, 2022

This article was published as a part of the Data Science Blogathon. Relational databases, enterprise data warehouses, and NoSQL systems are all examples of data storage. Introduction Apache SQOOP is a tool designed to aid in the large-scale export and import of data into HDFS from structured data repositories.

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Smart Data Collective

MARCH 27, 2019

The good news is that a number of Hadoop solutions can be invaluable for people that are trying to get the most bang for their buck. How does Hadoop technology help with key couponing and frugal living? Fortunately, Hadoop and other big data technologies are playing an important role in addressing all of these challenges.

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Analytics Vidhya

MARCH 7, 2023

In this article, we will discuss about Apache Flume, […] The post A Dive into Apache Flume: Installation, Setup, and Configuration appeared first on Analytics Vidhya. Flume is a tool that is very dependable, distributed, and customizable. einsteinerupload of.

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Analytics Vidhya

APRIL 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Modern applications and products deal with large amounts of data. The quantity of data being processed and utilised in modern times is enormous. So, the question arises? How to manage large files and data.

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Pickl AI

SEPTEMBER 19, 2024

Summary: This article compares Spark vs Hadoop, highlighting Spark’s fast, in-memory processing and Hadoop’s disk-based, batch processing model. Introduction Apache Spark and Hadoop are potent frameworks for big data processing and distributed computing. What is Apache Hadoop? What is Apache Spark?

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Smart Data Collective

FEBRUARY 21, 2020

Tom Dietterich, a professor of the Department of Electrical Engineering and Computer Science at Portland State University, has written an article on the impact of big data in this field. Maintaining product databases. Database Design Electronic System Management. Advanced Communication Data mining tools like Hadoop.

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Analytics Vidhya

MAY 5, 2022

This article was published as a part of the Data Science Blogathon. The post A Beginners’ Guide to Apache Hadoop’s HDFS appeared first on Analytics Vidhya. Introduction With a huge increment in data velocity, value, and veracity, the volume of data is growing exponentially with time.

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ODSC - Open Data Science

SEPTEMBER 27, 2023

In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management. This is particularly advantageous when dealing with exponentially growing data volumes.

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Becoming Human

JANUARY 23, 2023

And for searching the term you landed on multiple blogs, articles as well YouTube videos, because this is a very vast topic, or I, would say a vast Industry. I’m not saying those are incorrect or wrong even though every article has its mindset behind the term ‘ Data Science ’.

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Precisely

MARCH 9, 2023

Hadoop, Snowflake, Databricks and other products have rapidly gained adoption. In this article, we’ll focus on a data lake vs. data warehouse. Apache Hadoop, for example, was initially created as a mechanism for distributed storage of large amounts of information. Other platforms defy simple categorization, however.

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Pickl AI

DECEMBER 9, 2024

Summary: This article provides a comprehensive guide on Big Data interview questions, covering beginner to advanced topics. This article helps aspiring candidates excel by covering the most frequently asked Big Data interview questions. Familiarise yourself with essential tools like Hadoop and Spark.

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ODSC - Open Data Science

MAY 31, 2023

Commonly used technologies for data storage are the Hadoop Distributed File System (HDFS), Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage, as well as tools like Apache Hive, Apache Spark, and TensorFlow for data processing and analytics. Yes, many people still need a data lake (for their relevant data, not all enterprise data).

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Women in Big Data

OCTOBER 9, 2024

Components of a Big Data Pipeline Data Sources (Collection): Data originates from various sources, such as databases, APIs, and log files. Examples include transactional databases, social media feeds, and IoT sensors. Batch Processing: For large datasets, frameworks like Apache Hadoop MapReduce or Apache Spark are used.

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Pickl AI

NOVEMBER 4, 2024

This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field. They are responsible for building and maintaining data architectures, which include databases, data warehouses, and data lakes. million by 2028.

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Smart Data Collective

SEPTEMBER 26, 2019

In this article, we are going to look at how software development can leverage on Big Data. This is an organized set of data that can be processed, stored, and retrieved from a database in an orderly format using a simplified search engine algorithm. In the past, the primary source of data was mainly spreadsheets and databases.

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Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Mlearning.ai

MARCH 15, 2023

This article will serve as an ultimate guide to choosing between Data Science and Data Analytics. At the end of this article, you will fully understand what it entails to be a data scientist or data analyst. Before going into the main purpose of this article, what is data? What do you mean by data?

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Women in Big Data

SEPTEMBER 7, 2024

Advances in big data technology like Hadoop, Hive, Spark and Machine Learning algorithms have made it possible to interpret and utilize this variety of data effectively. Structured Structured data is quantitative and highly organized, typically managed within relational databases. Examples include HTML files, graphs, and web pages.

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Mlearning.ai

JULY 10, 2023

In my 7 years of Data Science journey, I’ve been exposed to a number of different databases including but not limited to Oracle Database, MS SQL, MySQL, EDW, and Apache Hadoop. Now let’s get into the main topic of the article. A well designed database utilizes views at the right place and at the right time.

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SQL Database Apache Hadoop Data Science 52

Pickl AI

NOVEMBER 4, 2024

This article will guide you through effective strategies to learn Python for Data Science, covering essential resources, libraries, and practical applications to kickstart your journey in this thriving field. Additionally, learn about data storage options like Hadoop and NoSQL databases to handle large datasets.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Mlearning.ai

MAY 16, 2023

This article discusses five commonly used architectural design patterns in data engineering and their use cases. It is used to extract data from various sources, transform the data to fit a specific data model or schema, and then load the transformed data into a target system such as a data warehouse or a database.

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Pickl AI

JANUARY 13, 2025

This article explores the top 10 AI jobs in India and the essential skills required to excel in these roles. Familiarity with SQL for database management. Strong understanding of database management systems (e.g., Hadoop , Apache Spark ) is beneficial for handling large datasets effectively. million by 2027.

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DagsHub

OCTOBER 23, 2024

This article will discuss managing unstructured data for AI and ML projects. Data can come from different sources, such as databases or directly from users, with additional sources, including platforms like GitHub, Notion, or S3 buckets. Examples of vector databases include Weaviate , ChromaDB , and Qdrant. mp4,webm, etc.),

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Pickl AI

JULY 18, 2023

There are different programming languages and in this article, we will explore 8 programming languages that play a crucial role in the realm of Data Science. SQL: Mastering Data Manipulation Structured Query Language (SQL) is a language designed specifically for managing and manipulating databases. Q: Do Data Scientists Use Can Java?

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ODSC - Open Data Science

JUNE 1, 2023

Apache Pinot is a real-time OLAP database built at LinkedIn to deliver scalable real-time analytics with low latency. It can ingest from batch data sources (such as Hadoop HDFS, Amazon S3, and Google Cloud Storage) as well as stream data sources (such as Apache Kafka and Redpanda). He tweets at @markhneedham.

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Analytics Analytics Apache Kafka Data Science 98

The MLOps Blog

JANUARY 23, 2023

In this article, we will discuss the importance of data versioning control in machine learning and explore various methods and tools for implementing it with different types of data sources. Data from different formats, databases, and sources are combined together for modeling. Basically, every machine learning project needs data.

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DagsHub

NOVEMBER 11, 2024

In this article, we’ll explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions, enhance customer experiences, and stay ahead of the competition. Vector Databases With unprecedented data being generated, we must store and retrieve it efficiently.

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Dataconomy

JULY 25, 2023

That’s why, in this article, we’ll explore why data science is not only a good career choice but also a thriving and promising one. Big data tools : Familiarity with big data tools like Hadoop, Spark, and NoSQL databases is advantageous for handling large-scale datasets. Is data science a good career?

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IBM Journey to AI blog

JANUARY 18, 2023

This article endeavors to alleviate those confusions. data platforms and databases), all interacting with one another to provide greater value. A data fabric can consist of multiple data warehouses, data lakes, IoT/Edge devices and transactional databases. While this is encouraging, it is also creating confusion in the market.

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Pickl AI

NOVEMBER 5, 2024

This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. This article will guide readers in selecting the right BI tool—Tableau or Power BI—for their needs in 2024. Tableau supports many data sources, including cloud databases, SQL databases, and Big Data platforms.

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DataSeries

AUGUST 15, 2024

In this article, let’s understand an explanation of how to enhance problem-solving skills as a data engineer. Hadoop, Spark). Hadoop, Spark). Understanding these fundamentals is essential for effective problem-solving in data engineering.

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Data Engineering Data Engineering Data Engineer Data Engineering 40

Pickl AI

OCTOBER 10, 2024

This article will explore popular data transformation tools, highlighting their key features and how they can enhance data processing in various applications. It integrates well with cloud services, databases, and big data platforms like Hadoop, making it suitable for various data environments. What is Data Transformation?

Data Quality 52

Data Quality AWS Machine Learning Machine Learning 52

ODSC - Open Data Science

APRIL 26, 2023

As models become more complex and the needs of the organization evolve and demand greater predictive abilities, you’ll also find that machine learning engineers use specialized tools such as Hadoop and Apache Spark for large-scale data processing and distributed computing. Check it out here !

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