ProjectPro

JUNE 6, 2025

Recommended Reading: Data Analyst Salary 2022-Based on Different Factors Data Engineer Data engineers are responsible for developing, constructing, and managing data pipelines. Data engineers also process collected data in batches and match its format to the stored data.

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

Its graphical interface enables users to easily create and visualize data pipelines, facilitating the efficient movement of data between disparate sources and destinations. NiFi supports connectivity with many systems, including databases, cloud services, and IoT devices, while emphasizing data lineage, security, and extensibility.

Big Data 40

Big Data Project Healthcare Medical 40

ProjectPro

JUNE 6, 2025

Possession of the AWS Big Data Specialty Certification may lead to employment prospects in various fields, including those for data engineers, data architects, big data consultants, and cloud solutions architects, among others.

Big Data 40

Big Data AWS Certification Hadoop 40

Cloudera

SEPTEMBER 11, 2020

In this blog post, we are going to take a look at some of the OpDB related security features of a CDP Private Cloud Base deployment. Data-at-rest encryption. Transparent data-at-rest encryption is available through the Transparent Data Encryption (TDE) feature in HDFS. . Over-the-wire encryption.

Database 69

Database Big Data Ecosystem Transportation SQL 69

Cloudera

DECEMBER 2, 2020

A kerberized Kafka cluster also makes it easier to integrate with other services in a Big Data ecosystem, which typically use Kerberos for strong authentication. It enables users to use their corporate identities, stored in services like Active Directory, RedHat IPA, and FreeIPA, which simplifies identity management.

Kafka 69

Kafka Java Big Data Ecosystem Cloud 69

ProjectPro

FEBRUARY 1, 2018

goes GA, adds hooks for cloud and GPUs.TechTarget.com, January 3, 2018. The latest update to the 11 year old big data framework Hadoop 3.0 The factmr report further highlights that big data analytics would be extensively used for cutting down on healthcare costs and boosting precision medicine research.

Hadoop 52

Hadoop Food Healthcare Cloud Computing 52

U-Next

JUNE 29, 2022

Preparing data for analysis is known as extract, transform and load (ETL). While the ETL workflow is becoming obsolete, it still serves as a common word for the data preparation layers in a big data ecosystem. Working with large amounts of data necessitates more preparation than working with less data.

Big Data 40

Big Data Big Data Ecosystem Data Lake Raw Data 40

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. CONS This will trigger a full read and write of the data and it might be an expensive operation.

Metadata 70

Metadata Data Warehouse Big Data Ecosystem Java 70

Knowledge Hut

DECEMBER 21, 2023

There are several data engineer career opportunities in the field of data engineering, ranging from entry-level positions to senior management roles to Big Data engineer career job roles. Here are the different job opportunities in the field of data engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52

Cloudera

JANUARY 19, 2021

Cloudera Flow Management , based on Apache NiFi and part of the Cloudera DataFlow platform , is used by some of the largest organizations in the world to facilitate an easy-to-use, powerful, and reliable way to distribute and process data at high velocity in the modern big data ecosystem. DataFlow Process Group.

Management 65

Management Big Data Ecosystem Kafka AWS 65

phData: Data Engineering

JANUARY 3, 2022

Analyzing the data, ensuring it adheres to data governance rules and regulations. Understanding the pros and cons of data storage and query options. For example, an enterprise might be using Amazon Web Services (AWS) as a cloud provider, and you want to store and query data from various systems.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Governance 52

Knowledge Hut

JANUARY 18, 2024

The idea of data locality, meaning that tasks are performed on the node that stores the data, allows the datasets to be processed more efficiently and quickly. Hadoop can be used within a traditional onsite data center as well as through the cloud. Being a data scientist at this time is thrilling.

Data Process 52

Data Process Process Hadoop Scala 52

ProjectPro

FEBRUARY 8, 2017

However, this does not mean just Hadoop but Hadoop along with other big data technologies like in-memory frameworks, data marts, discovery tools ,data warehouses and others that are required to deliver the data to the right place at right time.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

MAY 23, 2015

Big Data Analytics Solutions at Walmart Social Media Big Data Solutions Mobile Big Data Analytics Solutions Walmart’ Carts – Engaging Consumers in the Produce Department World's Biggest Private Cloud at Walmart- Data Cafe How Walmart is fighting the battle against big data skills crisis?

Big Data 52

Big Data Data Analysis Hadoop Retail 52

ProjectPro

MARCH 17, 2014

Recommended Reading: Apache Kafka Architecture and Its Components-The A-Z Guide Kafka vs RabbitMQ - A Head-to-Head Comparison 15 AWS Projects Ideas for Beginners to Practice Data Lake vs Data Warehouse - Working Together in the Cloud How to Become a Big Data Engineer Big Data Engineer Salary - How Much Can You Make?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

Knowledge Hut

SEPTEMBER 6, 2023

Data Mining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in data mining techniques and Extract, Transform, Load (ETL) processes is required. These platforms provide out of the box big data tools and also help in managing deployments.

Big Data 52

Big Data Certification Hadoop Kafka 52

AltexSoft

JUNE 26, 2023

The most popular examples of the type are Redis and Amazon DynamoDB; column-oriented, organizing data as a set of columns rather than storing it in rows, as with SQL databases. Read our article comparing cloud data warehouse platforms to learn how to choose between popular DW solutions — like Snowflake , Redshift, BigQuery, and others.

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

U-Next

SEPTEMBER 23, 2022

The fast development of digital technologies, IoT goods and connectivity platforms, social networking apps, video, audio, and geolocation services has created the potential for massive amounts of data to be collected/accumulated. Stage 1: presenting a Big Data framework and platform. .

Big Data Ecosystem 40

Big Data Ecosystem Big Data Data Lake Healthcare 40