Knowledge Hut

NOVEMBER 29, 2023

However, the Transition exam was shut down after 30th June, 2019. There was also an Azure Administrator Certification Transition Exam for people who have passed the 70-533 - Implementing Azure Infrastructure Solutions Exam, but this Transition exam too was retired on June 30, 2019.  This exam has been retired on 30th June, 2019.

Certification 52

Certification Big Data Machine Learning Data Lake 52

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Snowflake

FEBRUARY 27, 2023

The ManoMano platform—which receives over 50 million unique visitors per month—expanded into the B2B market in 2019, with the launch of ManoManoPro. Given its position as an online-only platform, ManoMano is more than just “data-driven” — data lies at its very core, inextricable from the marketplace’s activity and success.

Cloud 52

Cloud Retail Data Warehouse Data 52

Knowledge Hut

JULY 27, 2023

An expert who uses the Hadoop environment to design, create, and deploy Big Data solutions is known as a Hadoop Developer. They are skilled in working with tools like MapReduce, Hive, and HBase to manage and process huge datasets, and they are proficient in programming languages like Java and Python. 2019 $85,000 $40.88 +1.8%

Hadoop 52

Hadoop Programming Language Banking Scala 52

ProjectPro

JULY 3, 2017

Comcast has made big investments in Hadoop technology to store and process petabytes of data that it collects from its operations. Nasscom as part of its reskilling initiative in the IT industry identified the key job roles in the big data analytics domain. Datanami.com, June 22, 2017.

Hadoop 52

Hadoop Food MongoDB Retail 52

Knowledge Hut

DECEMBER 21, 2023

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. The purpose of data engineering is to analyze data and make decisions easier.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Reflow — A system for incremental data processing in the cloud.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120