ProjectPro

JUNE 6, 2025

AWS DevOps offers an innovative and versatile set of services and tools that allow you to manage, scale, and optimize big data projects. With AWS DevOps, data scientists and engineers can access a vast range of resources to help them build and deploy complex data processing pipelines, machine learning models, and more.

AWS 61

AWS Project Medical Deep Learning 61

ProjectPro

JUNE 6, 2025

13 Top Careers in AI for 2025 From Machine Learning Engineers driving innovation to AI Product Managers shaping responsible tech, this section will help you discover various roles that will define the future of AI and Machine Learning in 2024. Enter the Machine Learning Engineer (MLE), the brain behind the magic.

Machine Learning 40

Machine Learning Computer Science Consulting Software Engineer 40

ProjectPro

JUNE 6, 2025

Growing adoption of Artificial Intelligence , growth of IoT applications and increased adoption of machine learning will be the key to success for data-driven organizations in 2017. Here’s a sneak-peak into what big data leaders and CIO’s predict on the emerging big data trends for 2017.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

JUNE 6, 2025

FAQs on Data Engineering Skills Mastering Data Engineering Skills: An Introduction to What is Data Engineering Data engineering is the process of designing, developing, and managing the infrastructure needed to collect, store, process, and analyze large volumes of data.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

Monte Carlo

OCTOBER 31, 2024

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Let’s dive into the tools necessary to become an AI data engineer.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

ProjectPro

JUNE 6, 2025

Azure Synapse and Databricks are two of the most popular data warehouse platforms that offer features of ETL pipelines, machine learning , and enterprise data warehousing. But when it comes to choosing the two platforms, it is up to the organization to assess its data management needs.

Programming Language 40

Programming Language Data Lake Scala Data Warehouse 40

ProjectPro

JUNE 6, 2025

ETL is a process that involves data extraction, transformation, and loading from multiple sources to a data warehouse, data lake, or another centralized data repository. An ETL developer designs, builds and manages data storage systems while ensuring they have important data for the business.

Data Engineer 59

Data Engineer Data Engineering Engineering ETL Tools 59

ProjectPro

JUNE 6, 2025

Big data , Hadoop, Hive —these terms embody the ongoing tech shift in how we handle information. It's not just theory; it's about seeing how this framework actively shapes our data-driven world. Hive is a data warehousing and SQL-like query language system built on top of Hadoop.

Big Data 40

Big Data Architecture Project Hadoop 40

ProjectPro

JUNE 6, 2025

The datasets are usually present in Hadoop Distributed File Systems and other databases integrated with the platform. Hive is built on top of Hadoop and provides the measures to read, write, and manage the data. HQL or HiveQL is the query language in use with Apache Hive to perform querying and analytics activities.

Hadoop 45

Hadoop Java Big Data Tools SQL 45

ProjectPro

JUNE 6, 2025

With global data creation expected to soar past 180 zettabytes by 2025, businesses face an immense challenge: managing, storing, and extracting value from this explosion of information. Traditional data storage systems like data warehouses were designed to handle structured and preprocessed data.

Data Lake 40

Data Lake Building Hadoop Raw Data 40

ProjectPro

JUNE 6, 2025

Table of Contents What are Big Data Tools? Why Are Big Data Tools Valuable to Data Professionals? Traditional data tools cannot handle this massive volume of complex data, so several unique Big Data software tools and architectural solutions have been developed to handle this task.

Big Data Tools 40

Big Data Tools Big Data Hadoop BI 40

Teradata

MAY 30, 2025

Introduction to Teradata VantageCloud Lake on AWS Teradata VantageCloud Lake, a comprehensive data platform, serves as the foundation for our data mesh architecture on AWS. The data mesh architecture Key components of the data mesh architecture 1.

AWS 52

AWS Architecture Building Amazon Web Services 52

ProjectPro

JUNE 6, 2025

Hadoop Datasets: These are created from external data sources like the Hadoop Distributed File System (HDFS) , HBase, or any storage system supported by Hadoop. RDDs provide fault tolerance by tracking the lineage of transformations to recompute lost data automatically. a list or array) in your program.

Hadoop 68

Hadoop Metadata Java Datasets 68

ProjectPro

JUNE 6, 2025

In addition to analytics and data science, RAPIDS focuses on everyday data preparation tasks. This features a familiar DataFrame API that connects with various machine learning algorithms to accelerate end-to-end pipelines without incurring the usual serialization overhead. However, Trino is not limited to HDFS access.

Big Data 49

Big Data Project Metadata Programming Language 49

ProjectPro

JUNE 6, 2025

Introduction to Big Data Big data combines structured, semi-structured, and unstructured data collected by organizations to glean valuable insights and information using machine learning, predictive modeling , and other advanced analytical applications. provide cloud services for deploying data models.

Big Data 45

Big Data Big Data Skills Scala Hadoop 45

ProjectPro

JUNE 6, 2025

Snowflake provides data warehousing, processing, and analytical solutions that are significantly quicker, simpler to use, and more adaptable than traditional systems. Snowflake is not based on existing database systems or big data software platforms like Hadoop. However, data can be stored in a variety of locations and formats.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

ProjectPro

JUNE 6, 2025

Apache Spark has become a cornerstone technology in the world of big data and analytics. Learning Spark opens up a world of opportunities in data processing, machine learning, and more. Familiarize yourself with concepts like distributed computing, data storage, and data processing frameworks.

Programming Language 40

Programming Language Scala Hadoop Machine Learning 40

ProjectPro

JUNE 6, 2025

The demand for other data-related jobs like data engineers, business analysts , machine learning engineers, and data analysts is rising to cover up for this plateau. Build and deploy ETL/ELT data pipelines that can begin with data ingestion and complete various data-related tasks.

Data Engineer 58

Data Engineer Data Engineering Engineering Amazon Web Services 58

ProjectPro

JUNE 6, 2025

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Processing: This is the final step in deploying a big data model.

Big Data 40

Big Data Hadoop Relational Database NoSQL 40

Knowledge Hut

APRIL 25, 2024

Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies. Look for a suitable big data technologies company online to launch your career in the field. What Are Big Data T echnologies?

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

Source: Microsoft Official Website Key Features of ADF Data Orchestration and Transformation : ADF empowers users to compose, schedule, and manage data pipelines that can move data between supported data stores. DBUs represent the processing power needed for data processing and machine learning tasks.

ETL Tools 40

ETL Tools Data Engineering Data Engineer Data Lake 40

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 boasts a comprehensive suite of scalable and secure offerings, while GCP leverages Google's expertise in data analytics and machine learning. Google Cloud platform offers more than 100 services, including cloud computing, storage, machine learning, resource monitoring and management, networking, and application development.

AWS 49

AWS Amazon Web Services Google Cloud Cloud Storage 49

ProjectPro

JUNE 6, 2025

Big Data Engineer performs a multi-faceted role in an organization by identifying, extracting, and delivering the data sets in useful formats. A Big Data Engineer also constructs, tests, and maintains the Big Data architecture. Your organization will use internal and external sources to port the data.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

GCP provides a full range of computing services, including tools for managing GCP costs, governing data, providing web content and online video, and using AI and machine learning. Who is a GCP Data Engineer? A professional data engineer designs systems to gather and navigate data.

Data Engineer 40

Data Engineer Data Engineering Google Cloud Engineering 40

ProjectPro

JUNE 6, 2025

Apache Spark Apache Spark is a powerful open-source framework for distributed data processing. It provides various libraries for batch processing, real-time streaming , machine learning, and graph processing. Spark's in-memory computing capabilities make it suitable for handling large-scale data transformations efficiently.

Data Pipeline 40

Data Pipeline Building Retail Data Ingestion 40

ProjectPro

JUNE 6, 2025

Data Architect Salary How to Become a Data Architect - A 5-Step Guide Become a Data Architect - Key Takeaways FAQs on Data Architect Career Path What is a Data Architect Role? Cloud Architect stays up-to-date with data regulations, monitors data accessibility, and expands the cloud infrastructure as needed.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

JUNE 6, 2025

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. Briefly define COSHH.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

Christophe Blefari

JANUARY 20, 2024

Data engineering inherits from years of data practices in US big companies. Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. What is Hadoop? Is it really modern?

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

ProjectPro

JUNE 6, 2025

One of the leading cloud service providers, Amazon Web Services (AWS ), offers powerful tools and services that can propel your data analysis endeavors to new heights. With AWS, you gain access to scalable infrastructure, robust data storage, and cutting-edge analytics capabilities.

AWS 52

AWS Certification Data Analytics Big Data 52

ProjectPro

JUNE 6, 2025

Features of Apache Spark Allows Real-Time Stream Processing- Spark can handle and analyze data stored in Hadoop clusters and change data in real time using Spark Streaming. Faster and Mor Efficient processing- Spark apps can run up to 100 times faster in memory and ten times faster in Hadoop clusters.

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Machine Learning Data Science 98

Christophe Blefari

JANUARY 20, 2023

I personally feel that data ecosystem is in a in-between state. In between the Hadoop era, the modern data stack and the machine learning revolution everyone—but me—waits for. But, funny, in the end we are still copying data from database to database by using CSVs, like 40 years ago.

Google Cloud 130

Google Cloud Data Hadoop Machine Learning 130

ProjectPro

JUNE 6, 2025

Table of Contents What is Real-Time Data Ingestion? For this example, we will clean the purchase data to remove duplicate entries and standardize product and customer IDs. They also enhance the data with customer demographics and product information from their databases. Apache NiFi With over 4.1k

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

That's where acquiring the best big data certifications in specific big data technologies is a valuable asset that significantly enhances your chances of getting hired. Read below to determine which big data certification fits your requirements and works best for your career goals. Certification Program Fee: $585.0

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

It is also possible to use BigQuery to directly export data from Google SaaS apps, Amazon S3, and other data warehouses, such as Teradata and Redshift. Furthermore, BigQuery supports machine learning and artificial intelligence, allowing users to use machine learning models to analyze their data.

Bytes 40

Bytes Google Cloud Data Warehouse Cloud Storage 40

Christophe Blefari

NOVEMBER 11, 2022

Mastodon and Hadoop are on a boat. Kovid wrote an article that tries to explain what are the ingredients of a data warehouse. A data warehouse is a piece of technology that acts on 3 ideas: the data modeling, the data storage and processing engine. credits ) Hey you, 11th of November was usually off for me.

BI 130

BI Data Warehouse Data Database 130