Knowledge Hut

SEPTEMBER 6, 2023

These certifications have big data training courses where tutors help you gain all the knowledge required for the certification exam. Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Cost: $400 USD 4.

Big Data 52

Big Data Certification Hadoop Scala 52

AltexSoft

FEBRUARY 11, 2023

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. But first, all candidates must be accredited by Arcitura as Big Data professionals.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

OCTOBER 3, 2023

Azure Data Engineer Associate Certification (DP-203) DP-300 certification focuses on data solutions on Azure. Some modules covered are visualization, transformation, processing, data storage, and more. Solid understanding of Scala, Python, SQL, and other data processing languages is needed.

Certification 52

Certification Cloud Computing Machine Learning SQL 52

Knowledge Hut

DECEMBER 26, 2023

They are also responsible for improving the performance of data pipelines. Data Architects design, create and maintain database systems according to the business model requirements. In other words, they develop, maintain, and test Big Data solutions.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

Cloud Academy

JANUARY 27, 2022

Some good options are Python (because of its flexibility and being able to handle many data types), as well as Java, Scala, and Go. Soft skills for data engineering Problem solving using data-driven methods It’s key to have a data-driven approach to problem-solving. Rely on the real information to guide you.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 29, 2023

They construct pipelines to collect and transform data from many sources. 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.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Databand.ai

DECEMBER 13, 2022

He currently runs a YouTube channel, E-Learning Bridge , focused on video tutorials for aspiring data professionals and regularly shares advice on data engineering, developer life, careers, motivations, and interviewing on LinkedIn. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

SEPTEMBER 26, 2023

Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Snowflake

JUNE 13, 2023

“By using Snowflake’s platform as the analytical engine behind our Power BI and SAP data, we now have a much more governable data solution. We can load and transform data much faster than before.” With data processing and analytics, you sometimes want to fail fast to answer your most pressing production questions.

Cloud 52

Cloud Manufacturing Datasets Scala 52

ProjectPro

JANUARY 19, 2022

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. Different methods are used to store different types of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 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

Knowledge Hut

SEPTEMBER 22, 2023

What is Microsoft Azure Data Engineer Certification? The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services.

Certification 52

Certification Data Engineering Data Engineer Engineering 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 the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

NOVEMBER 5, 2014

For organizations to keep the load off MongoDB in the production database, data processing is offloaded to Apache Hadoop. Hadoop provides higher order of magnitude and power for data processing. MongoDB offers extensive support for an array of languages like C#, C, C++, Node.js, Scala, Javascript and Objective-C.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

ProjectPro

JANUARY 31, 2022

The cloud is the only platform to handle today's colossal data volumes because of its flexibility and scalability. Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. Snowflake Data Marketplace gives users rapid access to various third-party data sources.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52