ProjectPro

JUNE 6, 2025

Kickstart your data engineer career with end-to-end solved big data projects for beginners. 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.

NoSQL 40

NoSQL ETL Tools Certification SQL 40

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. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 40

Big Data Data Engineer Data Engineering Engineering 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

Hevo

SEPTEMBER 17, 2024

Organizations have begun to built data warehouses and lakes to analyze large amounts of data for insights and business reports. Often time they bring data from multiple data silos into their data lake and also have data stored in particular data stores like NoSQL databases to support different use cases.

Data Architecture 40

Data Architecture Architecture NoSQL Data Lake 40

Cloudera

SEPTEMBER 24, 2021

Increasingly, skunkworks data science projects based on open source technologies began to spring up in different departments, and as one CIO said to me at the time ‘every department had become a data science department!’ . Data governance was completely balkanized, if it existed at all.

Data Architect 96

Data Architect Government NoSQL Big Data 96

ProjectPro

JUNE 6, 2025

Building and maintaining data pipelines Data Engineer - Key Skills Knowledge of at least one programming language, such as Python Understanding of data modeling for both big data and data warehousing Experience with Big Data tools (Hadoop Stack such as HDFS, M/R, Hive, Pig, etc.)

Data Science 56

Data Science Data Mining Data Architect BI 56

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? This is important since big data can be structured or unstructured or any other format.

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

ProjectPro

JUNE 6, 2025

It's designed to handle and analyze large volumes of data efficiently, making it a favorite choice for businesses of all sizes. Snowflake Features Multi-cluster, Shared Data Architecture: Snowflake's architecture is built around the concept of decoupling storage and compute.

Data Storage 58

Data Storage PostgreSQL Data Warehouse AWS 58

ProjectPro

JUNE 6, 2025

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 40

Big Data Hadoop Relational Database AWS 40

ProjectPro

JUNE 6, 2025

In fact, approximately 70% of professional developers who work with data (e.g., data engineer, data scientist , data analyst, etc.) According to the 8,786 data professionals participating in Stack Overflow's survey, SQL is the most commonly-used language in data science. use SQL, compared to 61.7%

Data Engineer 45

Data Engineer Data Engineering SQL Engineering 45

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

JUNE 6, 2025

Key Responsibilities of a Data Engineer Here are the skills to hone for fulfilling the day-to-day responsibilities of a data engineer: Obtain data from third-party providers with the help of robust API integrations. Build, Design, and maintain data architectures using a systematic approach that satisfies business needs.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

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

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

Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

AltexSoft

MAY 12, 2023

A loose schema allows for some data structure flexibility while maintaining a general organization. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. MongoDB, Cassandra), and big data processing frameworks (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Databand.ai

AUGUST 30, 2023

A DataOps architecture is the structural foundation that supports the implementation of DataOps principles within an organization. It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

AltexSoft

OCTOBER 30, 2021

An overview of data engineer skills. Data engineers are well-versed in Java, Scala, and C++, since these languages are often used in data architecture frameworks such as Hadoop, Apache Spark, and Kafka. Python, R, and Go are used for statistical analysis and modeling, so they’re also popular among data engineers.

Data Engineer 98

Data Engineer Data Engineering Engineering Machine Learning 98

U-Next

AUGUST 17, 2022

Because of this, all businesses—from global leaders like Apple to sole proprietorships—need Data Engineers proficient in SQL. NoSQL – This alternative kind of data storage and processing is gaining popularity. The term “NoSQL” refers to technology that is not dependent on SQL, to put it simply.

Data Engineer 52

Data Engineer Data Engineering Pipeline-centric Database-centric 52

Knowledge Hut

DECEMBER 26, 2023

You can perform operations like adding, deleting, and extracting data from a database, carrying out analytical functions, and modification of database structures. NoSQL is a distributed data storage that is becoming increasingly popular. Some of NoSQL examples are Apache River, BaseX, Ignite, Hazelcast, Coherence, etc.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

Confluent

MAY 21, 2019

If you evaluate architectures by how easy they are to extend, then this architecture gets an A+. Real-world architectures involve more than just microservices. There are databases, document stores, data files, NoSQL and ETL processes involved. Gwen Shapira is a software engineer on the Core Kafka Team at Confluent.

Kafka 110

Kafka Insurance Architecture Metadata 110

ProjectPro

SEPTEMBER 26, 2021

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. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineer Data Engineering Engineering 52

Edureka

AUGUST 29, 2024

Projects: Engage in projects with a component that involves data collection, processing, and analysis. Databases: Knowledgeable about SQL and NoSQL databases. Data Warehousing: Experience in using tools like Amazon Redshift, Google BigQuery, or Snowflake. What Skills are Required for a Data Engineer?

Data Engineer 40

Data Engineer Data Engineering Engineering Generalist 40

Rockset

AUGUST 13, 2020

But what about your entire data architecture - what about the other data stores you need and how do you serve your BI and apps? How much of your data architecture has gone serverless? What parts of your current application stack are serverless?

NoSQL 40

NoSQL BI Data Lake Kafka 40

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineer 40

Data Engineer Data Engineering Engineering Non-relational Database 40

ProjectPro

JUNE 6, 2025

DP-203: Microsoft Azure Data Engineer Associate Certification Path The Azure Data Engineer Associate certification is suitable for Data Engineers, Data architects, Database Administrators, Business Intelligence professionals, or any other IT professionals possessing a thorough knowledge of data processing languages, such as SQL, Python, or Scala.

Certification 40

Certification Cloud Cloud Computing Machine Learning 40

Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases.

Data Engineer 52

Data Engineer Data Engineering Engineering MongoDB 52

Cloud Academy

JANUARY 27, 2022

Part of the Data Engineer’s role is to figure out how to best present huge amounts of different data sets in a way that an analyst, scientist, or product manager can analyze. What does a data engineer do? A data engineer is an engineer who creates solutions from raw data.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Rockset

MAY 12, 2022

Similarly, when LinkedIn upgraded its real-time FollowFeed to an ALT data architecture, it boosted query speeds and data retention while slashing the number of servers needed by half. For more details, read my blog post on ALT and why it beats the Lambda architecture for real-time analytics.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

Knowledge Hut

NOVEMBER 28, 2023

Technical Data Engineer Skills 1.Python Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis.

Data Engineer 52

Data Engineer Data Engineering Engineering Generalist 52

Knowledge Hut

MAY 4, 2023

Data engineering is all about data storage and organizing and optimizing warehouses plus databases. It helps organizations understand big data and helps in collecting, storing, and analyzing vast amounts of data, using technical skills related to NoSQL, SQL, and hybrid infrastructures.

Data Engineer 52

Data Engineer Data Engineering Engineering Consulting 52

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? websites, etc.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Rockset

JANUARY 3, 2023

Companies using batch ETL concepts for their data architecture are at risk of losing customers to competitors who are offering a better user experience through a modern data stack that delivers streaming, real-time data. With data applications, the application is always on.

Data Warehouse 52

Data Warehouse Education Database Data 52

ProjectPro

JUNE 6, 2015

At ProjectPro we had the pleasure to invite Abed Ajraou , the Director of the BI & Big Data in Solocal Group (Yellow Pages in France) to speak about the digital transformation from BI to Big Data. The goal of BI is to create intelligence through Data. The goal of BI is to create intelligence through Data.

Business Intelligence 40

Business Intelligence Big Data BI Hadoop 40

Knowledge Hut

APRIL 26, 2024

The Base For Data Science Though data scientists come from different backgrounds, have different skills and work experience, most of them should either be strong in it or have a good grip on the four main areas: Business and Management Statistics and Probability. B.Tech(Computer Science) Or Data Architecture.

Data Science 52

Data Science Machine Learning Programming Language Hadoop 52

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. Extract The initial stage of the ELT process is the extraction of data from various source systems.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Transportation 52

Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts.

Data Engineer 52

Data Engineer Data Engineering Engineering Cloud Computing 52