Data Engineering Podcast

MAY 27, 2018

In this episode CTO and co-founder of Alooma, Yair Weinberger, explains how the platform addresses the common needs of data collection, manipulation, and storage while allowing for flexible processing.

Data Pipeline 100

Data Pipeline MongoDB Google Cloud Scala 100

AltexSoft

JUNE 7, 2021

The keyword here is distributed since the data quantities in question are too large to be accommodated and analyzed by a single computer. The framework provides a way to divide a huge data collection into smaller chunks and shove them across interconnected computers or nodes that make up a Hadoop cluster.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

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. The candidates for this certification should be able to transform, integrate and consolidate both structured and unstructured data.

Data Architect 87

Data Architect Certification Generalist Big Data 87

U-Next

AUGUST 8, 2022

The world demand for Data Science professions is rapidly expanding. Data Science is quickly becoming the most significant field in Computer Science. It is due increasing use of advanced Data Science tools for trend forecasting, data collecting, performance analysis, and revenue maximisation. data structure theory.

Data Science 40

Data Science Coding Programming Language Scala 40

Knowledge Hut

NOVEMBER 28, 2023

As a Data Engineer, you must: Work with the uninterrupted flow of data between your server and your application. Work closely with software engineers and data scientists. Java can be used to build APIs and move them to destinations in the appropriate logistics of data landscapes.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

ProjectPro

JANUARY 31, 2023

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Knowledge Hut

DECEMBER 26, 2023

However, as we progressed, data became complicated, more unstructured, or, in most cases, semi-structured. This mainly happened because data that is collected in recent times is vast and the source of collection of such data is varied, for example, data collected from text files, financial documents, multimedia data, sensors, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98