Analytics Vidhya

APRIL 19, 2023

It’s estimated that by 2025, global data creation will reach a mind-boggling 463 exabytes per day. As our world becomes increasingly data-driven, the combination of Big Data and Data Science promises exciting new opportunities and breakthroughs in various fields. appeared first on Analytics Vidhya.

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Analytics Vidhya

JUNE 19, 2023

the world’s leading memory chip manufacturer, is set to revolutionize its chipmaking process using cutting-edge artificial intelligence (AI) and big data technology. Samsung Electronics Co.,

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Analytics Vidhya

AUGUST 30, 2022

This article was published as a part of the Data Science Blogathon. terabytes of data to manage. Whether you’re a small company or a trillion-dollar giant, data makes the decision. But as data ecosystems become more complex, it’s important to have the right tools for the […].

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Analytics Vidhya

NOVEMBER 8, 2023

In the data-driven world […] The post Monitoring Data Quality for Your Big Data Pipelines Made Easy appeared first on Analytics Vidhya. Determine success by the precision of your charts, the equipment’s dependability, and your crew’s expertise. A single mistake, glitch, or slip-up could endanger the trip.

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Data Quality Big Data Data-driven Analytics 342

Analytics Vidhya

JANUARY 31, 2023

Introduction Big data is revolutionizing the healthcare industry and changing how we think about patient care. In this case, big data refers to the vast amounts of data generated by healthcare systems and patients, including electronic health records, claims data, and patient-generated data.

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David Menninger's Analyst Perspectives

OCTOBER 26, 2021

Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. The platform supports streaming data, SQL queries, graph processing and machine learning.

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Big Data Data Processing Machine Learning Modeling 327

Analytics Vidhya

FEBRUARY 23, 2023

Introduction Big Data is a large and complex dataset generated by various sources and grows exponentially. It is so extensive and diverse that traditional data processing methods cannot handle it. The volume, velocity, and variety of Big Data can make it difficult to process and analyze.

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Analytics Vidhya

AUGUST 9, 2024

A New Era of Big Data Processing appeared first on Analytics Vidhya. This latest update promises to be a game-changer, packed with powerful new features, remarkable performance boosts, and improvements that make […] The post Apache Spark 4.0:

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Analytics Vidhya

AUGUST 31, 2022

This article was published as a part of the Data Science Blogathon. The need to maximize company efficiency and profitability has led the world to leverage data as a powerful tool. Data is reusable, everywhere, replicable, easily transferable, and […]. The post Why Big Data needs to become Smart Data?

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Analytics Vidhya

FEBRUARY 5, 2023

Introduction In this technical era, Big Data is proven as revolutionary as it is growing unexpectedly. According to the survey reports, around 90% of the present data was generated only in the past two years. Big data is nothing but the vast volume of datasets measured in terabytes or petabytes or even more.

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Analytics Vidhya

JULY 18, 2023

Introduction In the rapidly evolving world of modern business, big data skills have emerged as indispensable for unlocking the true potential of data. This article delves into the core competencies needed to effectively navigate the realm of big data.

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Analytics Vidhya

FEBRUARY 6, 2023

Introduction HDFS (Hadoop Distributed File System) is not a traditional database but a distributed file system designed to store and process big data. It provides high-throughput access to data and is optimized for […] The post A Dive into the Basics of Big Data Storage with HDFS appeared first on Analytics Vidhya.

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Big Data Optimization Analytics IT 269

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

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CIO Business Intelligence

FEBRUARY 20, 2025

Making decisions based on data To ensure that the best people end up in management positions and diverse teams are created, HR managers should rely on well-founded criteria, and big data and analytics provide these. Kastrati Nagarro The problem is that many companies still make little use of their data.

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Analytics Vidhya

JUNE 24, 2022

This article was published as a part of the Data Science Blogathon. Introduction Big Data is everywhere, and it continues to be a gearing-up topic these days. And Data Ingestion is a process that assists a group or management to make sense of the ever-increasing volume and complexity of data and provide useful insights.

Big Data 355

Big Data Data Science Publishing Management 355

Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources.

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Data Warehouse Forecasting Data Science Big Data 358

Analytics Vidhya

APRIL 8, 2022

“The World is One Big Data Problem” – Andrew McAfee. Analytics Vidhya is back with its 19th Edition of the Data Science Blogathon which is live from TODAY! Introduction The Data Science Blogathon by Analytics Vidhya began with a simple mission: To bring together […].

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Data Science Big Data Analytics IT 376

Analytics Vidhya

DECEMBER 12, 2023

Introduction The field of data science is evolving rapidly, and staying ahead of the curve requires leveraging the latest and most powerful tools available. In 2024, data scientists have a plethora of options to choose from, catering to various aspects of their work, including programming, big data, AI, visualization, and more.

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Data Science Big Data Visualization Analytics 329

Analytics Vidhya

JULY 11, 2024

Introduction Data science is one of the professions in high demand nowadays due to the growing focus on analyzing big data. Hypothesis and conclusion-making from data broadly involve technical and non-technical skills in the interdisciplinary field of data science.

Data Science 352

Data Science Big Data Analytics 352

Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the era of big data, it’s no surprise that more and more marketers are using data science in marketing to better position their brands, products, and services in today’s hyper-competitive marketplace.

Marketing 374

Marketing Strategy Data Science Big Data 374

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

FEBRUARY 28, 2023

Introduction Data science has taken over all economic sectors in recent times. To achieve maximum efficiency, every company strives to use various data at every stage of its operations.

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Data Science Big Data Analytics IT 354

Analytics Vidhya

FEBRUARY 3, 2022

This article was published as a part of the Data Science Blogathon. In this article, we shall discuss the upcoming innovations in the field of artificial intelligence, big data, machine learning and overall, Data Science Trends in 2022. Times change, technology improves and our lives get better.

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Data Science Deep Learning Big Data Machine Learning 320

AWS Big Data

APRIL 8, 2025

In modern data architectures, Apache Iceberg has emerged as a popular table format for data lakes, offering key features including ACID transactions and concurrent write support. Consider a common scenario: A streaming pipeline continuously writes data to an Iceberg table while scheduled maintenance jobs perform compaction operations.

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Snapshot Management Metadata Big Data 139

Analytics Vidhya

MARCH 25, 2022

Introduction The thriving industry of Data Science is continuously evolving with the technological advancements in Machine Learning and Artificial intelligence. This has opened up whole new avenues for Data Scientists worldwide.

Data Science 349

Data Science Machine Learning Big Data Technology 349

Analytics Vidhya

OCTOBER 5, 2023

Introduction Data analytics is a discipline that is flourishing with potential since businesses from all sectors are making substantial investments in big data and expanding their analytics teams. This article will guide […] The post How to Become a Data Analyst in the USA? appeared first on Analytics Vidhya.

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Insurance Big Data Marketing Data Analytics 336

Analytics Vidhya

JUNE 12, 2023

Cybersecurity and data science have emerged as powerhouses in today’s quickly changing digital landscape, bringing exciting career prospects and the ability to have a substantial effect. But the crucial query […] The post Cyber Security vs. Data Science: Which is a Better Career Option?

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Data Science Big Data Analytics 343

Analytics Vidhya

JANUARY 17, 2023

Introduction Data analytics is a field filled with promise. Corporations across all industries have invested significantly in big data, establishing analytics departments, particularly in telecommunications, insurance, advertising, financial services, healthcare, and technology.

Advertising 307

Advertising Insurance Big Data Data Analytics 307

Analytics Vidhya

JULY 25, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Sqoop is a big data engine for transferring data between Hadoop and relational database servers. Sqoop transfers data from RDBMS (Relational Database Management System) such as MySQL and Oracle to HDFS (Hadoop Distributed File System).

Big Data 354

Big Data Data Science Publishing Management 354

Analytics Vidhya

JUNE 26, 2023

Introduction “Data Science” and “Machine Learning” are prominent technological topics in the 25th century. The surge of Big Data has ushered in a new era, where businesses grapple with massive amounts of data measured in petabytes […] The post What is the Difference Between Data Science and Machine Learning?

Machine Learning 324

Machine Learning Data Science Big Data Measurement 324

Analytics Vidhya

FEBRUARY 24, 2023

Introduction Are you interested in learning about Apache Spark and how it has transformed big data processing? Whatever your interests, Analytics Vidhya’s DataHour sessions have got you […] The post DataHour: Your Free Gateway to the World of Data Science and Technology appeared first on Analytics Vidhya.

Data Science 320

Data Science Technology Big Data Data Processing 320

Analytics Vidhya

FEBRUARY 2, 2024

Introduction In the era of big data, organizations are inundated with vast amounts of unstructured textual data. The sheer volume and diversity of information present a significant challenge in extracting insights.

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Unstructured Data Big Data Analytics Structured Data 306

Analytics Vidhya

MAY 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Big data is the collection of data that is vast. The post Integration of Python with Hadoop and Spark appeared first on Analytics Vidhya.

Big Data 368

Big Data Data Science Publishing Analytics 368

Analytics Vidhya

FEBRUARY 28, 2023

A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud.

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Big Data Machine Learning Interactive Data Processing 382

Analytics Vidhya

JUNE 9, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Pyspark Spark is an open-source framework for big data processing. It was originally written in scala and later on due to increasing demand for machine learning using big data a python API of the same was released.

Machine Learning 330

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