Christophe Blefari

MARCH 1, 2023

dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. This switch has been lead by modern data stack vision. First let's understand why dbt exists.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

ProjectPro

JUNE 1, 2016

News on Hadoop-May 2016 Microsoft Azure beats Amazon Web Services and Google for Hadoop Cloud Solutions. MSPowerUser.com In the competition of the best Big Data Hadoop Cloud solution, Microsoft Azure came on top – beating tough contenders like Google and Amazon Web Services. May 3, 2016. May 10, 2016. May 16, 2016.

Hadoop 40

Hadoop Amazon Web Services BI Unstructured Data 40

ProjectPro

SEPTEMBER 9, 2021

The datasets are usually present in Hadoop Distributed File Systems and other databases integrated with the platform. Hive is built on top of Hadoop and provides the measures to read, write, and manage the data. HQL or HiveQL is the query language in use with Apache Hive to perform querying and analytics activities.

Hadoop 52

Hadoop Big Data Tools Java SQL 52

Knowledge Hut

JUNE 30, 2023

Key Benefits and Takeaways: Understand data intake strategies and data transformation procedures by learning data engineering principles with Python. Investigate alternative data storage solutions, such as databases and data lakes. Key Benefits and Takeaways: Learn the core concepts of big data systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Rockset

JANUARY 23, 2020

While traditional RDBMS databases served well the data storage and data processing needs of the enterprise world from their commercial inception in the late 1970s until the dotcom era, the large amounts of data processed by the new applications—and the speed at which this data needs to be processed—required a new approach.

Database 40

Database MySQL Kafka NoSQL 40

Knowledge Hut

MARCH 27, 2024

Real-time analytics platforms in big data apply logic and math to gain faster insights into data, resulting in a more streamlined and informed decision-making process. Some open-source technology for big data analytics are : Hadoop. Listed below are the top and the most popular tools for big data analytics : 1.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 26, 2023

Data Science has taken over the corporate world, and every tech enthusiast is eager to learn the top skills to become a Data engineer. It is one of the fastest-growing career fields with a job growth rate of around 650% since 2012 and a median salary range of around $125,000.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98