Analytics Vidhya

JULY 12, 2023

Best Big Data Softwares - Apache Hadoop, Apache Spark, apache Kafka, Apache Storm, Apache Cassandra, Apache Hive, zoho & more.

Apache Kafka 205

Apache Kafka Apache Hadoop Big Data Big Data 205

Analytics Vidhya

MAY 27, 2022

The post An Introduction to Hadoop Ecosystem for Big Data appeared first on Analytics Vidhya. Every time you put on a dog filter, watch cat videos or order food from your favourite restaurant, you generate data. Imagine how much data millions of other people are doing the […].

Hadoop 329

Hadoop Big Data Big Data Data Science 329

Analytics Vidhya

OCTOBER 28, 2021

The official description of Hive is- ‘Apache Hive data warehouse software project built on top of Apache Hadoop for providing data query and analysis. The post Introduction to Partitioned hive table and PySpark appeared first on Analytics Vidhya.

Apache Hadoop 309

Apache Hadoop Hadoop Data Warehouse SQL 309

Analytics Vidhya

APRIL 29, 2022

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 Hive provides an SQL-like query system for querying […].

Apache Hadoop 205

Apache Hadoop Hadoop SQL Data Science 205

Analytics Vidhya

MAY 5, 2022

Introduction This article will discuss the Hadoop Distributed File System, its features, components, functions, and benefits. Hadoop is a powerful platform for supporting an enormous variety of data applications. The post Workings of Hadoop Distributed File System (HDFS) appeared first on Analytics Vidhya.

Hadoop 190

Hadoop Data Science Analytics Analytics 190

Dataconomy

APRIL 21, 2016

Recent technology advances within the Apache Hadoop ecosystem have provided a big boost to Hadoop’s viability as an analytics environment—above and beyond just being a good place to store data. Leveraging these advances, new technologies now support SQL on Hadoop, making in-cluster analytics of data in Hadoop a reality.

Hadoop Analytics 132

Hadoop Analytics Hadoop Apache Hadoop Analytics 132

Data Science Dojo

JULY 6, 2023

Google BigQuery: Google BigQuery is a serverless, cloud-based data warehouse designed for big data analytics. It integrates well with other Google Cloud services and supports advanced analytics and machine learning features. Apache Spark: Apache Spark is an open-source, unified analytics engine designed for big data processing.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Analytics Vidhya

JANUARY 31, 2023

It is designed to be more flexible and generic than the original Hadoop MapReduce system, making it an attractive choice for companies looking to implement Hadoop. It allows companies to process data types and run […] The post YARN for Large Scale Computing: Beginner’s Edition appeared first on Analytics Vidhya.

Hadoop 255

Hadoop Analytics Analytics Apache Hadoop 255

Analytics Vidhya

FEBRUARY 14, 2023

Introduction Today we have an abundance of Hadoop jobs that are running in a constant plane, but we can’t schedule these jobs manually, we need some kind of scheduler to handle this flow. Apache Oozie is one such job scheduler that allows users to run, schedule, and manage Hadoop jobs in a distributed environment.

Hadoop 244

Hadoop Analytics Analytics Apache Hadoop 244

Analytics Vidhya

FEBRUARY 2, 2023

Big data analytics and learning help corporations foresee client demands, provide useful recommendations, and more. Hadoop, the Open-Source Software Framework for scalable and scattered computation of massive data sets, makes it easy. Introduction Big data processing is crucial today.

Hadoop 260

Hadoop Big Data Analytics Big Data Analytics Big Data 260

Analytics Vidhya

JULY 11, 2022

Introduction YARN is an open-source project for Apache representing “Yet Another Resource Negotiator” Hadoop Collection Manager is responsible for sharing resources (such as CPU, memory, disk, and network), and organizing and monitoring tasks throughout the Hadoop collection.

Hadoop 228

Hadoop Data Science Analytics Analytics 228

Analytics Vidhya

MAY 18, 2022

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. The post An Introduction to MapReduce with a Word Count Example appeared first on Analytics Vidhya.

Hadoop 249

Hadoop Data Science Analytics Analytics 249

Analytics Vidhya

AUGUST 17, 2022

Introduction Impala is an open-source and native analytics database for Hadoop. The post What is Apache Impala- Features and Architecture appeared first on Analytics Vidhya. Vendors such as Cloudera, Oracle, MapReduce, and Amazon have shipped Impala. source: -[link] It rapidly processes large […].

Hadoop 260

Hadoop Data Science Database Analytics 260

Data Science Blog

MARCH 14, 2023

In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Big Data Analytics erreicht die nötige Reife Der Begriff Big Data war schon immer etwas schwammig und wurde von vielen Unternehmen und Experten schnell auch im Kontext kleinerer Datenmengen verwendet.

Big Data 147

Big Data Big Data Apache Hadoop Hadoop 147

Smart Data Collective

OCTOBER 14, 2019

From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. With big data careers in high demand, the required skillsets will include: Apache Hadoop. Software businesses are using Hadoop clusters on a more regular basis now. Big Data Skillsets. NoSQL and SQL.

Big Data 75

Big Data Big Data Apache Hadoop Hadoop 75

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Hadoop, Snowflake, Databricks and other products have rapidly gained adoption.

Data Lakes 59

Data Lakes Data Warehouse Hadoop Apache Hadoop 59

IBM Journey to AI blog

MARCH 21, 2024

Artificial intelligence (AI) is revolutionizing industries by enabling advanced analytics, automation and personalized experiences. Leveraging distributed storage and processing frameworks such as Apache Hadoop, Spark or Dask accelerates data ingestion, transformation and analysis.

Apache Hadoop 68

Apache Hadoop AI AI Natural Language Processing 68

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Data processing is another skill vital to staying relevant in the analytics field. For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Analytics Vidhya

MARCH 8, 2023

.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

Data Science 273

Data Science Analytics Analytics Apache Hadoop 273

Pickl AI

JULY 20, 2023

Top 15 Data Analytics Projects in 2023 for Beginners to Experienced Levels: Data Analytics Projects allow aspirants in the field to display their proficiency to employers and acquire job roles. However, you might be looking for a guide to help you understand the different types of Data Analytics projects you may undertake.

Analytics 40

Analytics Analytics Big Data Big Data 40

Analytics Vidhya

JANUARY 2, 2023

The post Step-by-Step Roadmap to Become a Data Engineer in 2023 appeared first on Analytics Vidhya. While not all of us are tech enthusiasts, we all have a fair knowledge of how Data Science works in our day-to-day lives. All of this is based on Data Science which is […].

Data Engineering 291

Data Engineering Data Engineer Data Engineering Data Engineering 291

Pickl AI

JULY 25, 2023

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. Big Data Technologies: Hadoop, Spark, etc. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Analytics Vidhya

MAY 5, 2022

The post A Beginners’ Guide to Apache Hadoop’s HDFS appeared first on Analytics Vidhya. This outgrows the storage limit and enhances the demand for storing the data across a network of machines. A unique filesystem is required to […].

Data Science 229

Data Science Analytics Analytics Apache Hadoop 229

Pickl AI

JULY 18, 2023

With its powerful ecosystem and libraries like Apache Hadoop and Apache Spark, Java provides the tools necessary for distributed computing and parallel processing. Its speed and performance make it a favored language for big data analytics, where efficiency and scalability are paramount. Wrapping it up !!!

Data Science 52

Data Science SQL Data Scientist Apache Hadoop 52

Data Science Dojo

JANUARY 12, 2023

An enormous amount of raw data is stored in its original format in a data lake until it is required for analytics applications. Hadoop systems and data lakes are frequently mentioned together. However, instead of using Hadoop, data lakes are increasingly being constructed using cloud object storage services.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Smart Data Collective

SEPTEMBER 15, 2021

Apache Hadoop needs no introduction when it comes to the management of large sophisticated storage spaces, but you probably wouldn’t think of it as the first solution to turn to when you want to run an email marketing campaign. Some groups are turning to Hadoop-based data mining gear as a result.

Hadoop 100

Hadoop Apache Hadoop Predictive Analytics Clustering 100

Pickl AI

MARCH 10, 2023

One way to solve Data Science’s challenges in Data Cleaning and pre-processing is to enable Artificial Intelligence technologies like Augmented Analytics and Auto-feature Engineering. If the organisational stakeholders do not understand the analytical models presented by the Data Scientists, then their solutions will not be executed.

Data Scientist 52

Data Scientist Data Science Apache Hadoop Clean Data 52

Pickl AI

MAY 31, 2023

Well-supported: Python has a large community of followers that includes professionals from the academic and industrial circles which allows them to use the analytics libraries for problem solving. Accordingly, it is possible for the Python users to ask for help from Stack Overflow, mailing lists and user-contributed code and documentation.

Data Science 52

Data Science Python Data Scientist Machine Learning 52

Mlearning.ai

AUGUST 18, 2023

The next step involves applying analytical skills to discern patterns that can aid in diagnostic procedures. Utilizing big data analytics allows medical professionals to take advantage of historical information and get valuable insights. Get in touch with us to discuss your needs and wants and bring your ideas to life.

Data Science 52

Data Science Data Scientist Internet of Things Apache Hadoop 52

Mlearning.ai

MAY 16, 2023

The message broker can then distribute the events to various subscribers such as data processing pipelines, machine learning models, and real-time analytics dashboards. Real-time analytics dashboards can subscribe to events and visualize the data in real time to monitor customer behavior and make data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Journey to AI blog

JANUARY 18, 2023

It can include technologies that range from Oracle, Teradata and Apache Hadoop to Snowflake on Azure, RedShift on AWS or MS SQL in the on-premises data center, to name just a few. One node of the fabric may provide raw data to another that, in turn, performs analytics. Analytical and transactional worlds come together.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

Pickl AI

JULY 10, 2023

R’s NLP capabilities are beneficial for analyzing textual data, social media content, customer reviews, and more. · Big Data Analytics: R has solutions for handling large-scale datasets and performing distributed computing.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52