Knowledge Hut

JANUARY 18, 2024

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. ML engineers work in close collaboration with the Data scientists throughout the Data Science pipeline.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Ascend.io

JULY 17, 2023

If you work with data, you’ll have come across the term data mesh by now. This decentralized but interconnected approach to structuring data has become increasingly popular since the term was coined by Zhamak Dehghani 4 years ago. Essentially, you’re risking scaling up your problems along with your data architecture.

Datasets 52

Datasets Architecture Telecommunication Data Pipeline 52

Knowledge Hut

NOVEMBER 28, 2023

The data goes through various stages, such as cleansing, processing, warehousing, and some other processes, before the data scientists start analyzing the data they have garnered. The data analysis stage is important as the data scientists extract value and knowledge from the processed, structured data.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

Rockset

FEBRUARY 24, 2023

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Streaming data has been around for decades. Today, streaming data is everywhere. Kafka or Kinesis ?

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

ProjectPro

SEPTEMBER 26, 2021

Big Data Engineer Salary by Skills The roles and responsibilities of a Big Data Engineer in an organization vary as per the business domain, type of the project, specific big data tools in use, IT infrastructure, technology stack, and a lot more. Wondering if Spark is suitable for Big Data?

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

AltexSoft

JULY 18, 2023

Spark SQL brings native support for SQL to Spark and streamlines the process of querying semistructured and structured data. Many industries, from telecommunications to finance and healthcare, use Spark to run ELT and ETL (Extract, Transform, Load) operations, where vast amounts of data are prepared for further analysis.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

JANUARY 31, 2023

Data Variety Hadoop stores structured, semi-structured and unstructured data. RDBMS stores structured data. Data storage Hadoop stores large data sets. RDBMS stores the average amount of data. Works with only structured data. Hardware Hadoop uses commodity hardware.

Big Data 52

Big Data Hadoop Relational Database AWS 52