Dataconomy

JUNE 10, 2025

Apache Hadoop: An essential tool for big data processing and storage. Apache Spark: A framework for processing large-scale data. Tableau: Widely used for creating interactive dashboards and reports. Amazon RedShift: Specializes in handling large datasets for analytics.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

Dataconomy

JUNE 18, 2025

Rise of data lakes Data lakes originated in Hadoop clusters during the early 2000s and offered a cost-effective means of storing a variety of data types, including structured, semi-structured, and unstructured data. This gap highlighted the need for more flexible solutions.

Data Lakes 91

Data Lakes Data Warehouse Business Intelligence Business Intelligence 91

Pickl AI

JUNE 8, 2025

Nearly half of the executives surveyed acknowledge data analytics automation as crucial for business success, with platforms like Apache Hadoop , IBM Analytics, and SAP Business Intelligence leading the way. APA enables businesses to enhance efficiency, reduce costs, and accelerate insights by automating repetitive analytical tasks.

Data Science 52

Data Science Augmented Analytics Machine Learning Machine Learning 52

How to Learn Machine Learning

APRIL 26, 2025

The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark). such data resources are cleaned, transformed, and analyzed by using tools like Python, R, SQL, and big data technologies such as Hadoop and Spark.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Pickl AI

JUNE 5, 2025

Big Data Technologies: Familiarity with Hadoop, Apache Spark, and cloud platforms like AWS, Azure, and Google Cloud is increasingly important as Indian companies scale data operations. Big Data: Apache Hadoop, Apache Spark. Data scientists in India use a broad toolkit tailored to local industry needs: Programming: Python, R, SQL.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Towards AI

APRIL 18, 2025

Hadoop is an open-source framework from the Apache Software Foundation and has become one of the leading Big Data management technologies in recent years. This article provides a comprehensive overview of Hadoop and its components. We also examine the underlying architecture and provide practical tips for getting started with it.

Hadoop 52

Hadoop Big Data Big Data Machine Learning 52

Pickl AI

JANUARY 12, 2025

To confirm seamless integration, you can use tools like Apache Hadoop, Microsoft Power BI, or Snowflake to process structured data and Elasticsearch or AWS for unstructured data. By uniting the strengths of both approaches, organisations can uncover valuable insights and achieve greater efficiency in their processes.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Pickl AI

JUNE 5, 2025

Parallel and Distributed Computing: Frameworks like Apache Spark and Hadoop enable distributed clustering by partitioning data and performing local clustering in parallel. Modern adaptations address these challenges: Approximate Clustering : Techniques like random sampling or coresets reduce computations by approximating pairwise distances.

Clustering 52

Clustering Machine Learning Machine Learning Exploratory Data Analysis 52

AWS Machine Learning Blog

FEBRUARY 21, 2025

Rockets legacy data science environment challenges Rockets previous data science solution was built around Apache Spark and combined the use of a legacy version of the Hadoop environment and vendor-provided Data Science Experience development tools. This also led to a backlog of data that needed to be ingested.

Data Science 80

Data Science AWS Hadoop Data Scientist 80

Pickl AI

DECEMBER 25, 2024

Big data platforms such as Apache Hadoop and Spark help handle massive datasets efficiently. They must also stay updated on tools such as TensorFlow, Hadoop, and cloud-based platforms like AWS or Azure. Programming languages like Python and R are commonly used for data manipulation, visualization, and statistical modeling.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Pickl AI

NOVEMBER 4, 2024

Additionally, learn about data storage options like Hadoop and NoSQL databases to handle large datasets. Familiarise yourself with frameworks such as Apache Spark and Dask, which integrate seamlessly with Python. These tools allow you to process and analyse vast amounts of data efficiently.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

Pickl AI

APRIL 21, 2025

Big Data technologies include Hadoop, Spark, and NoSQL databases. Big Data Technologies Enable Data Science at Scale Tools like Hadoop and Spark were developed specifically to handle the challenges of Big Data. Key Takeaways Big Data focuses on collecting, storing, and managing massive datasets.

Big Data 52

Big Data Big Data Data Science Machine Learning 52

Smart Data Collective

JUNE 22, 2025

Big Data: 6 Things a Data Scientist Can Learn from a Pastry Chef Big Data is Not Just Hadoop You might assume only tech companies are involved, but even traditional sectors are leaning on AI for their data work.

Artificial Intelligence 94

Artificial Intelligence Artificial Intelligence Big Data Big Data 94

phData

NOVEMBER 8, 2024

Evolution of Open Table Formats Here’s a timeline that outlines the key moments in the evolution of open table formats: 2008 - Apache Hive and Hive Table Format Facebook introduced Apache Hive as one of the first table formats as part of its data warehousing infrastructure, built on top of Hadoop.

Data Lakes 52

Data Lakes Data Warehouse Azure Database 52

Dataconomy

MARCH 19, 2025

Hadoop as a Service (HaaS) offers a compelling solution for organizations looking to leverage big data analytics without the complexities of managing on-premises infrastructure. What is Hadoop as a Service (HaaS)? Cluster management: Providers offer tools for efficient oversight and optimization of Hadoop clusters.

Hadoop 91

Hadoop Big Data Big Data Big Data Analytics 91

AWS Machine Learning Blog

DECEMBER 10, 2024

Prior to joining AWS, Archana led a migration from traditional siloed data sources to Hadoop at a healthcare company. She has over a decade of cross-industry expertise leading strategic technical initiatives. Archana is an aspiring member of the AI/ML technical field community at AWS.

AWS 104

AWS K-nearest Neighbors Database ML 104

Pickl AI

FEBRUARY 23, 2025

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Key Features : Scalability : Hadoop can handle petabytes of data by adding more nodes to the cluster. Use Cases : Yahoo!

Big Data 52

Big Data Big Data Apache Hadoop Apache Kafka 52

ODSC - Open Data Science

MARCH 5, 2025

In the early 2010s, the rise of Hadoop and cloud computing transformed the industry, introducing data practitioners to new challenges in scalability and infrastructure. From the Early Days of Data Science to Todays Complex Ecosystem Marcks journey into data science began nearly 20 years ago when the field was still in its infancy.

Data Science 52

Data Science Cloud Computing SQL Machine Learning 52

Flipboard

JUNE 16, 2025

Related technologies are also present at IBM in the form of Watson Discovery for unstructured search and AI; Elastic for indexing and querying of unstructured text and logs; Cloudera for Hadoop-based data lake services across unstructured and semi-structured data; Databricks, Collibra, Alation, Palantir and Varonis, to name but a mouthful, there is (..)

Big Data 140

Big Data Big Data Machine Learning Machine Learning 140

Dataconomy

APRIL 16, 2025

Hadoop: A robust framework known for efficient data processing and storage of large datasets. Efficient data analysis is the backbone of successful data science projects. KNIME: Offers a strong graphical interface allowing users to conduct pre-processing and analysis with minimal coding requirements.

Data Science 91

Data Science Data Mining Data Mining Data Mining 91

Pickl AI

MARCH 19, 2025

Apache Hive Apache Hive is a data warehouse tool that allows users to query and analyse large datasets stored in Hadoop. Hadoop : An open-source framework for processing Big Data across multiple servers. It helps organisations understand their data better and make informed decisions.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Dataconomy

MAY 26, 2025

Technology overview Technologies such as Hadoop, Spark, and Hive support the foundation of BDaaS, enabling efficient data processing and storage. Leading BDaaS solutions Some of the most recognized BDaaS solutions include Amazon EMR, Google Cloud Dataproc, and Azure HDInsight.

Big Data 160

Big Data Big Data Hadoop Cloud Computing 160

Dataconomy

MARCH 19, 2025

Tools used: Popular technologies include Spark, Hadoop, and TensorFlow, which support data processing and machine learning efforts. Key technologies in data science Machine learning algorithms: These include both supervised and unsupervised learning techniques.

Data Science 91

Data Science Citizen Data Scientist Data Scientist Machine Learning 91

Analytics Vidhya

MAY 30, 2021

The post Integration of Python with Hadoop and Spark appeared first on Analytics Vidhya. 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.

Hadoop 367

Hadoop Python Big Data Big Data 367

Analytics Vidhya

MAY 30, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Different components in the Hadoop Framework Introduction Hadoop is. The post HIVE – A DATA WAREHOUSE IN HADOOP FRAMEWORK appeared first on Analytics Vidhya.

Hadoop 327

Hadoop Data Warehouse Data Science Analytics 327

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 376

Hadoop Big Data Big Data Data Science 376

Analytics Vidhya

OCTOBER 9, 2022

Introduction Apache Hadoop is an open-source framework designed to facilitate interaction with big data. The post Hadoop Ecosystem appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Still, for those unfamiliar with this technology, one question arises, what is big data?

Hadoop 269

Hadoop Apache Hadoop Big Data Big Data 269

Analytics Vidhya

FEBRUARY 27, 2023

Introduction The Hadoop Distributed File System (HDFS) is a Java-based file system that is Distributed, Scalable, and Portable. HDFS and […] The post Top 10 Hadoop Interview Questions You Must Know appeared first on Analytics Vidhya. Due to its lack of POSIX conformance, some believe it to be data storage instead.

Hadoop 318

Hadoop Analytics Analytics Apache Hadoop 318

Dataconomy

MAY 26, 2025

Familiarity with big data tools Proficiency with big data tools like Apache Hadoop and Apache Spark is vital, as these technologies are key to managing extensive datasets efficiently.

Big Data 91

Big Data Big Data Data Engineering Data Engineer 91

Analytics Vidhya

MAY 1, 2022

Introduction on Apache Oozie Apache Oozie is a tool that allows us to run any application or job in any sequence within Hadoop’s distributed environment. The post Apache Oozie: Scheduler System to Manage & Perform Hadoop Jobs appeared first on Analytics Vidhya. We may schedule the job to run at a specified time with Oozie.

Hadoop 314

Hadoop Data Science Analytics Analytics 314

Analytics Vidhya

APRIL 26, 2022

Introduction on Big Data & Hadoop The amount of data in our world is growing exponentially. The post Getting Started with Big Data & Hadoop appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. It is estimated that at least 2.5

Hadoop 270

Hadoop Big Data Big Data Data Science 270

Analytics Vidhya

JUNE 14, 2022

Introduction Hadoop is an open-source, Java-based framework used to store and process large amounts of data. The post Introduction to Hadoop Architecture and Its Components appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Developed by Doug Cutting and Michael […].

Hadoop 271

Hadoop Clustering Data Science Analytics 271

Analytics Vidhya

OCTOBER 23, 2020

Overview Hadoop is among the most popular tools in the data engineering and Big Data space Here’s an introduction to everything you need to. The post Introduction to the Hadoop Ecosystem for Big Data and Data Engineering appeared first on Analytics Vidhya.

Hadoop 289

Hadoop Big Data Big Data Data Engineering 289

Analytics Vidhya

SEPTEMBER 14, 2022

The post Frequent Itemset Mining Using MapReduce on Hadoop appeared first on Analytics Vidhya. Introduction Every Data Science enthusiast’s journey goes through one of the most classical data problems – Frequent Itemset Mining, also sometimes referred to as Association Rule Mining or Market Basket Analysis.

Hadoop 288

Hadoop Data Science Analytics Analytics 288

Analytics Vidhya

JUNE 14, 2022

Earlier to it, Hadoop MapReduce was the main focus for processing large data with no competitors. The post Apache Spark Vs. Hadoop MapReduce – Top 7 Differences appeared first on Analytics Vidhya. Introduction Apache Spark was released in 2014. Let’s take a […].

Hadoop 270

Hadoop Data Science Analytics Analytics 270

Analytics Vidhya

MAY 31, 2022

The post The Tale of Apache Hadoop YARN! Initially, it was described as “Redesigned Resource Manager” as it separates the processing engine and the management function of MapReduce. Apart from resource management, […]. appeared first on Analytics Vidhya.

Apache Hadoop 271

Apache Hadoop Hadoop Big Data Analytics Big Data Analytics 271

Analytics Vidhya

FEBRUARY 5, 2023

Big data […] The post A Beginner’s Guide to the Basics of Big Data and Hadoop appeared first on Analytics Vidhya. Big data is nothing but the vast volume of datasets measured in terabytes or petabytes or even more.

Hadoop 290

Hadoop Big Data Big Data Analytics 290