Analytics Vidhya

MAY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction This article will discuss the Hadoop Distributed File System, its features, components, functions, and benefits. This article also describes the working and real-time applications. Both structured and complex data can […].

Hadoop 208

Hadoop Data Science Analytics Analytics 208

Analytics Vidhya

MAY 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Flume, a part of the Hadoop ecosystem, was developed by Cloudera. Initially, it was designed to handle log data solely, but later, it was developed to process event data. The post Get to Know Apache Flume from Scratch!

Hadoop 392

Hadoop Data Science Analytics Analytics 392

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.

Data Warehouse 271

Data Warehouse Hadoop Data Engineering Data Engineer 271

Analytics Vidhya

OCTOBER 12, 2022

This article was published as a part of the Data Science Blogathon. Introduction Since the 1970s, relational database management systems have solved the problems of storing and maintaining large volumes of structured data.

Hadoop 353

Hadoop Big Data Big Data Data Science 353

Analytics Vidhya

MAY 18, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hadoop facilitates the processing of large datasets in a distributed manner and provides the foundation on which other services and applications can be built. MapReduce and HDFS are the two main components of Hadoop.

Hadoop 291

Hadoop Data Science Analytics Analytics 291

Analytics Vidhya

AUGUST 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction HBase is a column-oriented non-relational database management system that operates on Hadoop Distributed File System (HDFS). HBase provides a fault-tolerant manner of storing sparse data sets, which are prevalent in several big data use cases.

Hadoop 360

Hadoop Big Data Big Data Data Science 360

Analytics Vidhya

OCTOBER 28, 2021

This article was published as a part of the Data Science Blogathon What is the need for Hive? The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis.

Apache Hadoop 349

Apache Hadoop Data Warehouse Hadoop SQL 349

Analytics Vidhya

OCTOBER 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Most of you would know the different approaches for building a data and analytics platform. You would have already worked on systems that used traditional warehouses or Hadoop-based data lakes. Selecting one among […].

Data Lakes 350

Data Lakes Hadoop Data Science Analytics 350

Analytics Vidhya

AUGUST 2, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Oozie is a distributed workflow scheduler for performing and controlling Hadoop tasks. MapReduce, Sqoop, Pig, and Hive jobs can be easily scheduled with this tool. It […].

Hadoop 335

Hadoop Data Science Analytics Analytics 335

Analytics Vidhya

APRIL 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Hadoop is the most used open-source framework in the industry to store and process large data efficiently. Hive is built on the top of Hadoop for providing data storage, query and processing capabilities.

Apache Hadoop 266

Apache Hadoop Hadoop SQL Data Science 266

Analytics Vidhya

AUGUST 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Impala is an open-source and native analytics database for Hadoop. Vendors such as Cloudera, Oracle, MapReduce, and Amazon have shipped Impala. If you want to learn all things Impala, you’ve come to the right place.

Hadoop 291

Hadoop Data Science Database Analytics 291

Analytics Vidhya

SEPTEMBER 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Oozie is a Hadoop workflow scheduler. Users can design Directed Acyclic Graphs of workflows that can be run in parallel and sequentially in Hadoop. It is a system that manages the workflow of dependent tasks.

Hadoop 268

Hadoop Data Science Analytics Analytics 268

Analytics Vidhya

AUGUST 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction Zookeeper in Hadoop can be considered a centralized repository where distributed applications can put data into and retrieve data from. For clarity, Zookeeper can be […].

Hadoop 270

Hadoop Data Science Analytics Analytics 270

Analytics Vidhya

JULY 10, 2022

This article was published as a part of the Data Science Blogathon. The Apache Pig is built on top of Hadoop. Provides a stream of data processing for large data sets. Apache Pork offers a high-quality language. It is another way of quoting more than Reduce Map (MR).

Hadoop 271

Hadoop Data Science Analytics Analytics 271

Analytics Vidhya

AUGUST 26, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark’s in-memory data processing capabilities make it 100 times faster than Hadoop. The most […].

Hadoop 271

Hadoop Data Science Analytics Analytics 271

Analytics Vidhya

AUGUST 8, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon This article is focused on Apache Pig. It is a high-level. The post An Introduction to Apache Pig For Absolute Beginners! appeared first on Analytics Vidhya.

Data Science 358

Data Science Analytics Analytics Hadoop 358

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 […].

Big Data 399

Big Data Big Data Database Data Science 399

Analytics Vidhya

SEPTEMBER 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction I’ve always wondered how big companies like Google process their information or how companies like Netflix can perform searches in concise times.

Data Science 398

Data Science Analytics Analytics Hadoop 398

Analytics Vidhya

JULY 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Apache Flume Apache Flume is a data ingestion mechanism for gathering, aggregating, and transmitting huge amounts of streaming data from diverse sources, such as log files, events, and so on, to a centralized data storage.

Data Science 389

Data Science Analytics Analytics Hadoop 389

Towards AI

FEBRUARY 2, 2024

I hope that you have sufficient knowledge of big data and Hadoop concepts like Map, reduce, transformations, actions, lazy evaluation, and many more topics in Hadoop and Spark. Extracting day, month and year from date column: #extract year, month, and day details from the data framedf.select(year("date column").distinct().orderBy(year("date

Data Engineering 115

Data Engineering Data Engineering Data Engineer Data Engineering 115

Dataconomy

FEBRUARY 23, 2023

Data engineers play a crucial role in managing and processing big data. They are responsible for designing, building, and maintaining the infrastructure and tools needed to manage and process large volumes of data effectively. What is data engineering?

Big Data 91

Big Data Big Data Data Engineering Data Engineering 91

Analytics Vidhya

JUNE 24, 2022

This article was published as a part of the Data Science Blogathon. Apache Pig is capable of working on any kind of data, similar to a pig who can eat anything. Introduction After reading the heading Apache Pig, the first question that hits every mind is, why the word Pig? Pig is nothing but a […].

Data Science 349

Data Science Analytics Analytics Hadoop 349

Analytics Vidhya

MARCH 7, 2023

Introduction Apache Flume is a tool/service/data ingestion mechanism for gathering, aggregating, and delivering huge amounts of streaming data from diverse sources, such as log files, events, and so on, to centralized data storage. Flume is a tool that is very dependable, distributed, and customizable. einsteinerupload of.

Analytics 315

Analytics Analytics Hadoop Data Engineering 315

Analytics Vidhya

DECEMBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how Instagram recommends similar kinds of reels while you are scrolling through your feed or ad recommendations for similar products that you were browsing on Amazon?

Apache Kafka 315

Apache Kafka Data Science Analytics Analytics 315

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. How to manage large files and data. So, the question arises?

Data Science 306

Data Science Analytics Analytics Hadoop 306

Analytics Vidhya

OCTOBER 4, 2022

This article was published as a part of the Data Science Blogathon. It is a Lucene-based search engine developed in Java but supports clients in various languages ​​such as Python, C#, Ruby, and PHP. It takes unstructured data from multiple sources as input and stores it […].

AWS 289

AWS Data Science Python Analytics 289

Analytics Vidhya

SEPTEMBER 23, 2022

This article was published as a part of the Data Science Blogathon. Introduction Hi Everyone, In this guide, we will discuss Apache Sqoop. We will discuss the Sqoop import and export processes with different modes and also cover Sqoop-hive integration. In this guide, I will go over Apache Sqoop in depth so that whenever you […].

Data Science 286

Data Science Analytics Analytics Hadoop 286

Analytics Vidhya

MAY 5, 2022

This article was published as a part of the Data Science Blogathon. Introduction With a huge increment in data velocity, value, and veracity, the volume of data is growing exponentially with time. This outgrows the storage limit and enhances the demand for storing the data across a network of machines.

Data Science 270

Data Science Analytics Analytics Apache Hadoop 270

Analytics Vidhya

SEPTEMBER 18, 2022

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

Data Warehouse 271

Data Warehouse Data Science Database Analytics 271

Analytics Vidhya

AUGUST 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale.

Data Lakes 271

Data Lakes Big Data Big Data Data Science 271

Analytics Vidhya

APRIL 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction Have you ever wondered how big IT giants store and process huge amounts of data? storing the data […].

Data Warehouse 267

Data Warehouse Database Data Science Analytics 267

Pickl AI

NOVEMBER 4, 2024

Summary: The fundamentals of Data Engineering encompass essential practices like data modelling, warehousing, pipelines, and integration. Understanding these concepts enables professionals to build robust systems that facilitate effective data management and insightful analysis. What is Data Engineering?

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Data Science Dojo

JULY 7, 2023

In the technology-driven world we inhabit, two skill sets have risen to prominence and are a hot topic: coding vs data science. Essential Skills for Data Science Data Science , while incorporating coding, demands a different skill set. Statistics helps data scientists to estimate, predict and test hypotheses.

Data Science 195

Data Science Data Scientist Python Decision Trees 195

Mlearning.ai

MAY 16, 2023

Data engineering is a rapidly growing field that designs and develops systems that process and manage large amounts of data. There are various architectural design patterns in data engineering that are used to solve different data-related problems.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

DataSeries

AUGUST 15, 2024

Enrich data engineering skills by building problem-solving ability with real-world projects, teaming with peers, participating in coding challenges, and more. Globally several organizations are hiring data engineers to extract, process and analyze information, which is available in the vast volumes of data sets.

Data Engineering 40

Data Engineering Data Engineering Data Engineer Data Engineering 40

Smart Data Collective

AUGUST 22, 2019

Over the past year, job openings for data scientists increased by 56%. People that pursue a career in data science can expect excellent job security and very competitive salaries. However, a background in data analytics, Hadoop technology or related competencies doesn’t guarantee success in this field.

Data Scientist 106

Data Scientist Data Science Hadoop Big Data 106