ProjectPro

JUNE 6, 2025

Also, the Synapse Analytics Studio has everything that data teams need, making it easier to combine artificial intelligence, machine learning, IoT (internet of things), smart apps, or business intelligence on one unified platform. Why Use Azure Synapse Analytics For Big Data Analytics Projects?

Data Engineer 40

Data Engineer Data Engineering Engineering Data Lake 40

ProjectPro

JUNE 6, 2025

Here are some examples of the responsibilities handled by Data Engineers: Ingest data from different data sources (Based on the Business Use Case) Scheduling Data Received based on a pre-defined Data Collection Methodology. Maintain the data architecture over time and its scalability.

Data Science 40

Data Science Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

This is the reason why we need Data Warehouses. What is Snowflake Data Warehouse? A Data Warehouse is a central information repository that enables Data Analytics and Business Intelligence (BI) activities. The query processing layer is separated from the disk storage layer in the Snowflake data architecture.

Architecture 56

Architecture IT Data Warehouse Amazon Web Services 56

Knowledge Hut

APRIL 25, 2024

However, with Business intelligence dashboards, knowledge is dispersed throughout the organization, enabling users to produce interactive reports, utilize data visualization, and disseminate the knowledge with internal and external stakeholders. What is a Business Intelligence Dashboard?

Business Intelligence 52

Business Intelligence BI Data Lake Data Warehouse 52

ProjectPro

JUNE 6, 2025

Data engineers are responsible for the end-to-end architecture of data platforms, ensuring that data systems are scalable, efficient, and capable of handling both real-time and batch processing. AWS Glue AWS Glue is a fully-managed ETL service provided by Amazon Web Services, optimized for cloud-based data integration.

Data Engineer 40

Data Engineer Data Engineering Engineering ETL Tools 40

Towards Data Science

DECEMBER 4, 2023

Anyways, I wasn’t paying enough attention during university classes, and today I’ll walk you through data layers using —  guess what  —  an example. Business Scenario & Data Architecture Imagine this: next year, a new team on the grid, Red Thunder Racing, will call us (yes, me and you) to set up their new data infrastructure.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Lake 98

Monte Carlo

JANUARY 23, 2023

When it comes to the data community, there’s always a debate broiling about something— and right now “data mesh vs data lake” is right at the top of that list. In this post we compare and contrast the data mesh vs data lake to illustrate the benefits of each and help discover what’s right for your data platform.

Data Lake 52

Data Lake Business Intelligence Government Architecture 52

Advancing Analytics: Data Engineering

JULY 2, 2019

It’s not always the most accurate indicator, but a quick glance at google trends sees Data Engineer rocketing in popularity, compared to more traditional functions such as BI and ETL Developer: google trends Now, that’s not saying that the other roles are going away, not by a long stretch.

Business Intelligence 52

Business Intelligence Data Engineer Data Engineering Engineering 52

Cloudera

JUNE 30, 2022

Over the past decade, Cloudera has enabled multi-function analytics on data lakes through the introduction of the Hive table format and Hive ACID. Companies, on the other hand, have continued to demand highly scalable and flexible analytic engines and services on the data lake, without vendor lock-in.

Data Lake 88

Data Lake Business Intelligence Metadata Data Warehouse 88

ProjectPro

JUNE 6, 2025

Unlike the conventional ETL process, which involves complex data extraction, transformation, and loading steps, Zero ETL directly integrates data from the source to the destination. This integration allows for real-time data processing and analytics, reducing latency and simplifying data workflows.

Data Analytics 40

Data Analytics MySQL PostgreSQL Data Lake 40

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 94

Data Lake Data Warehouse BI SQL 94

ProjectPro

JUNE 6, 2025

This blog post provides an overview of the top 10 data engineering tools for building a robust data architecture to support smooth business operations. Table of Contents What are Data Engineering Tools? Snowflake Data Warehouse Snowflake is a cloud-based data analytics and storage service provider.

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Data Warehouse 98

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

ProjectPro

JUNE 6, 2025

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

Data Pipeline 40

Data Pipeline Architecture Kafka Data Lake 40

Edureka

APRIL 9, 2025

Imagine being in charge of creating an intelligent data universe where collaboration, analytics, and artificial intelligence all work together harmoniously. Data Analytics: Capability to effectively use tools and techniques for analyzing data and drawing insights. That’s what a Microsoft Fabric Engineer does.

Engineering 40

Engineering Data Ingestion Data Lake Programming Language 40

Striim

SEPTEMBER 11, 2024

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

ProjectPro

JUNE 6, 2025

Data Engineering with AWS- Nanodegree Program by Udacity This comprehensive online program focuses on the advanced aspects of data models, data warehouses, data lakes , and overall data architecture, equipping you with the skills needed to excel in data engineering.

Data Engineer 45

Data Engineer Data Engineering Cloud Engineering 45

ProjectPro

JUNE 6, 2025

Use AWS or third-party tools to analyze, re-architect, and re-platform on-premise data warehouses to data platforms in the AWS cloud. Using Java, Python, and Scala , design and construct production data pipelines from intake to consumption within a significant data architecture.

AWS 45

AWS Data Engineer Data Engineering Amazon Web Services 45

ProjectPro

JUNE 6, 2025

It is easy to query structured data and perform further analysis on it. It is difficult to query the required unstructured data. Relational databases and data warehouses contain structured data. Data lakes and non-relational databases can contain unstructured data.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JUNE 6, 2025

With such a strong track record, it's no wonder that Microsoft has become a preferred choice for businesses and professionals seeking to harness the power of data. Azure DP 203 Exam Pricing The pricing for this Microsoft Azure exam involves an exam fee and optional training costs.

Certification 40

Certification Data Storage Big Data Data Engineer 40

AltexSoft

OCTOBER 30, 2021

Such visualizations as graphs and charts are typically prepared by data analysts or business analysts, though not every project has those people employed. Then, a data scientist uses complex business intelligence tools to present business insights to executives. Providing data access tools.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

ProjectPro

JUNE 6, 2025

What does a Data Modeler do? The data modeler builds, implements, and analyzes data architecture and data modeling solutions using relational, dimensional, and NoSQL databases. As a data modeler, you must be familiar with data platform technologies and have hands-on big data platform and data warehouse expertise.

NoSQL 40

NoSQL ETL Tools Certification SQL 40

ProjectPro

JUNE 6, 2025

AWS Data Engineer Interview Questions and Answers Explore AWS-focused questions and answers in this segment, encompassing data warehouse, Redshift, Glue, and overall cloud architecture, providing a comprehensive understanding of AWS services crucial for Amazon Data Engineering roles.

Data Engineer 40

Data Engineer Data Engineering Engineering NoSQL 40

The Modern Data Company

MARCH 23, 2023

However, to unlock the maximum power of corporate data, it is necessary to mix data from different systems and allow each data source to enhance the others. Various architectures, from data warehouses to data lakes, have attempted to help solve this problem over the years.

Data Lake 95

Data Lake Data Warehouse Architecture Systems 95

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. machine learning and deep learning models; and business intelligence tools.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

JUNE 6, 2025

The job titles of these professionals may remain as Software Engineer while they may have skills in Big Data frameworks, such as Apache Hadoop. Business Intelligence (BI) Developer and Data Warehouse Developer are the other job titles for Big Data Engineers. How much is the salary of a big data engineer?

Big Data 40

Big Data Data Engineer Data Engineering Engineering 40

ProjectPro

JUNE 6, 2025

This certification validates the ability to implement core AWS Big Data services, including storage, data warehousing , and querying, while adhering to architectural best practices. Prerequisites: Candidates must have a strong foundation in data processing languages such as SQL, Python, and Scala.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Data warehouse vs data lake vs data lakehouse: What’s the difference.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64

Cloudera

DECEMBER 19, 2018

Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

BI 52

BI Cloud Computing Data Warehouse Big Data 52

Monte Carlo

JULY 30, 2020

But what is a data mesh and why should you build one? In the age of self-service business intelligence , nearly every company considers themselves a data-first company, but not every company is treating their data architecture with the level of democratization and scalability it deserves.

IT 45

IT Data Lake Data Architecture Architecture 45

Knowledge Hut

OCTOBER 30, 2023

For any organization to grow, it requires business intelligence reports and data to offer insights to aid in decision-making. This data and reports are generated and developed by Power BI developers. A power BI developer has a crucial role in business management. The answer to this is simple.

BI 52

BI Data Cleanse Business Intelligence Business Analyst 52

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. What about a frantic email from your CTO about “duplicate data” in a business intelligence dashboard? What is a decentralized data architecture?

Data Lake 52

Data Lake Data Pipeline Data Warehouse Unstructured Data 52

Knowledge Hut

SEPTEMBER 26, 2023

Key connectivity features include: Data Ingestion: Databricks supports data ingestion from a variety of sources, including data lakes, databases, streaming platforms, and cloud storage. This flexibility allows organizations to ingest data from virtually anywhere.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Edureka

FEBRUARY 9, 2023

Some of the top skills to include are: Experience with Azure data storage solutions: Azure Data Engineers should have hands-on experience with various Azure data storage solutions such as Azure Cosmos DB, Azure Data Lake Storage, and Azure Blob Storage.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Ascend.io

AUGUST 31, 2023

In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. This unchanging schema forms the foundation for all queries and business intelligence.

Data Lake 52

Data Lake ETL Tools Data Warehouse Data Pipeline 52