ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. Assume that you are a Java Developer and suddenly your company hops to join the big data bandwagon and requires professionals with Java+Hadoop experience.

Hadoop 40

Hadoop Big Data Banking Consulting 40

Knowledge Hut

SEPTEMBER 6, 2023

Implement ETL & Data Pipelines with Bash, Airflow & Kafka; architect, populate, deploy Data Warehouses; create BI reports & interactive dashboards. Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming 18.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

DECEMBER 26, 2023

Big data companies typically use data to help organizations make better decisions, improve operations, and understand customer behavior. Importance of Big Data Companies Big Data is intricate and can be challenging to access and manage because data often arrives quickly in ever-increasing amounts.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

ProjectPro

JANUARY 31, 2023

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop AWS Relational Database 52