ProjectPro

JUNE 6, 2025

.” said the McKinsey Global Institute (MGI) in its executive overview of last month's report: "The Age of Analytics: Competing in a Data-Driven World." 2016 was an exciting year for big data with organizations developing real-world solutions with big data analytics making a major impact on their bottom line.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

JUNE 6, 2025

Imagine being able to communicate in different languages; that’s what these API clients provide, allowing a wide range of application development environments to interact with Hive data. Practical Applications of Hive in Big Data Projects Hive’s strength is not limited to theory; it excels particularly in practical applications.

Big Data 40

Big Data Architecture Project Hadoop 40

AltexSoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

ProjectPro

JUNE 6, 2025

Let's delve deeper into the essential responsibilities and skills of a Big Data Developer: Develop and Maintain Data Pipelines using ETL Processes Big Data Developers are responsible for designing and building data pipelines that extract, transform, and load (ETL) data from various sources into the Big Data ecosystem.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

AWS Big Data Analytics Certification Prerequisites To pursue the Certification exam, there are no formal AWS Big Data certification requirements in terms of other AWS certifications. Familiarity with data storage, loading data, data processing, and visualization concepts will be beneficial.

Big Data 40

Big Data AWS Certification Hadoop 40

Knowledge Hut

JULY 27, 2023

To ensure effective data processing and analytics for enterprises, work with data analysts, data scientists, and other stakeholders to optimize data storage and retrieval. Using the Hadoop framework, Hadoop developers create scalable, fault-tolerant Big Data applications. What do they do?

Hadoop 52

Hadoop Banking Programming Language Scala 52

ProjectPro

JUNE 4, 2015

Big data applications using Apache Hadoop continue to run even if any of the individual cluster or server fails owing to the robust and stable nature of Hadoop. Table of Contents Big Data Hadoop Training Videos- What is Hadoop and its popular vendors? Hive makes querying faster through indexing.

Hadoop 52

Hadoop Architecture IT Java 52