ProjectPro

JUNE 6, 2025

This certification attests to your proficiency in building scalable and efficient data pipelines , understanding the principles of data security, and optimizing performance for diverse analytics workloads. Why Should You Get AWS Data Engineer Associate Certification? Does AWS have a data engineering certification?

AWS 40

AWS Certification Data Engineering Data Engineer 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? Let's explore the technologies available for big data.

Big Data 98

Big Data Technology NoSQL Hadoop 98

ProjectPro

JUNE 6, 2025

An Azure Data Scientist specializes in extracting valuable insights and knowledge from large data sets using Microsoft's Azure cloud platform. They apply data analysis, machine learning, and statistical techniques to interpret complex data and make informed decisions.

Machine Learning 40

Machine Learning Data Science Certification Raw Data 40

Edureka

APRIL 22, 2025

In 2025, this blog will discuss the most important data engineering trends, problems, and opportunities that companies should be aware of. Exponential Growth in AI-Driven Data Solutions This approach, known as data building, involves integrating AI-based processes into the services.

Data Engineering 52

Data Engineering Data Engineer Engineering Consulting 52

ProjectPro

JUNE 6, 2025

Read this blog to know more about the core AWS big data services essential for data engineering and their implementations for various purposes, such as big data engineering , machine learning, data analytics, etc. million organizations that want to be data-driven choose AWS as their cloud services partner.

AWS 40

AWS Data Engineering Data Engineer Engineering 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 Kafka 40

ProjectPro

JUNE 6, 2025

The Google Cloud Certification program is offered by Google, which validates one's ability to design, deploy, and manage scalable, reliable cloud solutions using the Google Cloud Platform (GCP). It enables professionals to showcase their skills in cloud architecture, data engineering , machine learning , etc.

Google Cloud 40

Google Cloud Certification Cloud Cloud Computing 40

ProjectPro

JUNE 6, 2025

Table of Contents What is Real-Time Data Ingestion? This immediate data ingestion and processing allow for real-time monitoring and decision-making, enhancing user experience and operational efficiency in the ride-sharing service. They also enhance the data with customer demographics and product information from their databases.

Data Ingestion 40

Data Ingestion Kafka Google Cloud AWS 40

ProjectPro

JUNE 6, 2025

The AWS Big Data Analytics Certification exam holds immense significance for professionals aspiring to demonstrate their expertise in designing and implementing big data solutions on the AWS platform. Industry Recognition: AWS Data Analytics related certifications are well-regarded and well-recognized in the industry.

Big Data 40

Big Data AWS Certification Hadoop 40

ProjectPro

JULY 3, 2015

SAP is all set to ensure that big data market knows its hip to the trend with its new announcement at a conference in San Francisco that it will embrace Hadoop. What follows is an elaborate explanation on how SAP and Hadoop together can bring in novel big data solutions to the enterprise. “A doption is the only option.

Hadoop 40

Hadoop Big Data Data Solutions Unstructured Data 40

ProjectPro

JUNE 6, 2025

Emerging markets like India and the US are investing heavily in Big Data, providing ample opportunities for international experience. What does a Big Data Developer do? A Big Data Developer plays a crucial role in data engineering, focusing on developing, implementing, and maintaining Big Data solutions.

Big Data 40

Big Data Hadoop Scala NoSQL 40

ProjectPro

JUNE 6, 2025

It focuses on the following key areas- Core Data Concepts- Understanding the basics of data concepts, such as relational and non-relational data, structured and unstructured data, data ingestion, data processing, and data visualization.

Certification 40

Certification Cloud Cloud Computing Machine Learning 40

ProjectPro

JUNE 6, 2025

Additional Costs Implementing and maintaining ETL pipelines can be costly, especially as data volumes grow, requiring significant infrastructure investment and ongoing maintenance. This helps organizations to streamline their operations directly assessing Salesforce data in Snowflake for analysis and decision-making.

Data Analytics 40

Data Analytics MySQL PostgreSQL Data Lake 40

ProjectPro

JUNE 6, 2025

As businesses continue to recognize the value of efficient data management, the demand for certified data engineers has surged. These roles typically involve working with large-scale data solutions, implementing data pipelines, and optimizing data architectures for performance and scalability.

Data Engineering 40

Data Engineering Data Engineer Google Cloud Engineering 40

ProjectPro

JUNE 6, 2025

This certification exam assesses a candidate's ability to design data processing systems, optimize complex machine learning models, and build and optimize data processing systems on the Google Cloud Platform. It focuses on validating the skills and knowledge of professionals working with Oracle Big Data solutions.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

Knowledge Hut

DECEMBER 26, 2023

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Of course, handling such huge amounts of data and using them to extract data-driven insights for any business is not an easy task; and this is where Data Science comes into the picture.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

ProjectPro

JUNE 6, 2025

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. PaaS packages the platform for development and testing along with data, storage, and computing capability.

Cloud Computing 53

Cloud Computing Cloud Amazon Web Services AWS 53

ProjectPro

JUNE 6, 2025

Source- Building An End-to-End Machine Learning Pipeline Building A Serverless Pipeline Using AWS CDK And Lambda The crux of this data integration project lies in the seamless integration of technologies and disparate data sources within a serverless pipeline. That’s what you will do with ProjectPro!

Data Integration 40

Data Integration Project Data Lake PostgreSQL 40

ProjectPro

JUNE 6, 2025

The ETL (Extract, Transform, Load) process follows four main steps: i) Connect and Collect: Connect to the data source/s and move data to local and crowdsource data storage. ii) Data transformation using computing services such as HDInsight, Hadoop , Spark, etc. Explain the data source in the Azure data factory.

Data Lake 60

Data Lake Metadata SQL Datasets 60

Knowledge Hut

SEPTEMBER 25, 2023

Who is an Azure Data Engineer? As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. Azure Data Engineers work with these and other solutions. Access and prepare data for analysis by working with data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. You will learn about Python, SQL, statistical modeling and data analysis.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

ProjectPro

JUNE 6, 2025

A data engineer should be aware of how the data landscape is changing. They should also be mindful of how data systems have evolved and benefited data professionals. Explore the distinctions between on-premises and cloud data solutions. Who should take the certification exam?

Data Engineering 49

Data Engineering Data Engineer Engineering Certification 49

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions. Machine learning frameworks (e.g.,

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, Azure Data Lake, Azure Blob Storage, Azure Cosmos DB, Azure Stream Analytics, Azure HDInsight, and other Azure data services are just a few of the many Azure data services that Azure data engineers deal with.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

The Modern Data Company

MAY 10, 2023

Data lakes provide the flexibility you need because they can store structured, unstructured, and semi-structured data in their native formats. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Cloudera

FEBRUARY 1, 2024

This applies to modern generative AI solutions that are particularly reliant on trusted, accurate, and context-specific data. The other half of the equation requires your team’s emphasis to shift to sustained excellence in managing and optimizing your data ecosystem — better known as Day 2 operations.

Cloud 82

Cloud Architecture Utilities Designing 82

The Modern Data Company

MAY 10, 2023

Data lakes provide the flexibility you need because they can store structured, unstructured, and semi-structured data in their native formats. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data lakes provide the flexibility you need because they can store structured, unstructured, and semi-structured data in their native formats. Wants to leverage the power of advanced analytics, AI, and machine learning on large volumes of raw data. Data lakes offer a scalable and cost-effective solution.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Knowledge Hut

SEPTEMBER 26, 2023

It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. This is particularly valuable in today's data landscape, where information comes in various shapes and sizes.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Edureka

FEBRUARY 7, 2023

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. More than 546,200 new roles related to big data will result from this.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Monte Carlo

SEPTEMBER 25, 2024

A data lake is essentially a vast digital dumping ground where companies toss all their raw data, structured or not. A modern data stack can be built on top of this data storage and processing layer, or a data lakehouse or data warehouse, to store data and process it before it is later transformed and sent off for analysis.

Data Lake 52

Data Lake Food Google Cloud Entertainment 52

Edureka

FEBRUARY 9, 2023

The following are some of the fundamental foundational skills required of data engineers: A data engineer should be aware of changes in the data landscape. They should also consider how data systems have evolved and how they have benefited data professionals.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JUNE 6, 2025

If you are wondering whether you are the right fit for this certification, here’s a list of ideal candidates- Candidates enthusiastic about working with data and cloud data solutions. Business analysts, decision makers and managers who want to learn how Azure Data Services can be used for better business decision making.

Certification 45

Certification Google Cloud Data Lake SQL 45

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional responsible for designing, implementing, and managing data solutions using Microsoft's Azure cloud platform. They work with various Azure services and tools to build scalable, efficient, and reliable data pipelines, data storage solutions, and data processing systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

OCTOBER 3, 2023

Let’s review some tips to prepare for the Azure machine learning path. Azure Certification Paths Let’s investigate the different Azure machine learning paths and other details, like how long to get Azure certification. Some modules covered are visualization, transformation, processing, data storage, and more.

Certification 52

Certification Cloud Computing Machine Learning SQL 52

The Modern Data Company

MAY 8, 2023

It can store any type of data — structured, unstructured, and semi-structured — in its native format, providing a highly scalable and adaptable solution for diverse data needs. It stores structured and unstructured data, enables schema-on-read and schema-on-write, and supports real-time data processing and analytics.

Data Management 52

Data Management Management Data Lake Data Governance 52