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

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.

Big Data 40

Big Data Certification Amazon Web Services Hadoop 40

ProjectPro

JUNE 6, 2025

Read more for a detailed comparison between data scientists and data engineers. How is a data architect different from a data engineer? Data architect Data engineers Data architects visualize and conceptualize data frameworks. How Data Engineering helps Businesses? |

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Confluent

MAY 21, 2019

There are databases, document stores, data files, NoSQL and ETL processes involved. Having well-defined schemas that are documented, validated and managed across the entire architecture will help integrate data and microservices —a notoriously challenging problem that we discussed at some length in the past.

Kafka 110

Kafka Insurance Architecture Metadata 110

Knowledge Hut

MAY 9, 2024

While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

DECEMBER 21, 2023

In this article, we will understand the promising data engineer career outlook and what it takes to succeed in this role. What is Data Engineering? Data engineering is the method to collect, process, validate and store data. It involves building and maintaining data pipelines, databases, and data warehouses.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

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

ProjectPro

JANUARY 31, 2023

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 52

Big Data Hadoop Relational Database AWS 52

AltexSoft

MARCH 14, 2023

Databases store key information that powers a company’s product, such as user data and product data. The ones that keep only relational data in a tabular format are called SQL or relational database management systems (RDBMSs). Data orchestration involves managing the scheduling and execution of data workflows.

IT 59

IT Data Warehouse Data Governance Data Lake 59

ProjectPro

JUNE 6, 2025

Key Responsibilities of a Financial Data Analyst Career Path Extract data from familiar databases, build data pipelines , and transform the data into an appropriate format using suitable approaches. Learn about the latest analytics and data science developments. and Microsoft Excel.

Consulting 40

Consulting Healthcare Programming Language BI 40

Knowledge Hut

SEPTEMBER 6, 2023

Over the past decade, the IT world transformed with a data revolution. The rise of big data and NoSQL changed the game. Systems evolved from simple to complex, and we had to split how we find data from where we store it. Database Administrator : DBAs are the guardians of any corporate data estate.

Certification 52

Certification Database MongoDB MySQL 52

Knowledge Hut

OCTOBER 8, 2023

You need to know the data warehousing concepts to make your job easy. You must be proficient in NoSQL and SQL for data engineers to help with database management. Data pipeline design - It's where you extract raw data from different data sources and export it for analysis.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 27, 2021

Read more for a detailed comparison between data scientists and data engineers. How is a data architect different from a data engineer? Data architect Data engineers Data architects visualize and conceptualize data frameworks. How Data Engineering helps Businesses? |

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Rockset

FEBRUARY 17, 2022

But our goal is not purely to move data from point A to point B, although that’s how I describe my job to most people. Our end goal is to create some form of a reliable, centralized, and easy-to-use data storage layer that can then be utilized by multiple teams. To me, this means our product, at the end of the day, is the data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52