Knowledge Hut

SEPTEMBER 6, 2023

Back when I studied Computer Science in the early 2000s, databases like MS Access and Oracle ruled. The rise of big data and NoSQL changed the game. MongoDB Associate DBA Exam The associated exam is C100DBA. Passing this exam means one has a foundational knowledge of building, supporting, and securing MongoDB infrastructure.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

DECEMBER 5, 2023

Interactive Learning Platforms: Utilize interactive platforms like Codecademy for programming, Cisco's Networking Academy for networking, or AWS Training for cloud computing. Cloud Computing: Familiarity with cloud platforms like AWS, Azure, or Google Cloud can be advantageous.

Systems 52

Systems Engineering Recruitment Electronics 52

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Data Engineer Learning Path: Self-Taught Learn Data Engineering through Practical Projects Azure Data Engineer Vs AWS Data Engineer Vs GCP Data Engineer FAQs on Data Engineer Job Role How long does it take to become a data engineer? Experience with using cloud services providing platforms like AWS/GCP/Azure.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloud Academy

JANUARY 27, 2022

Microsoft SQL Server Document-oriented database: MongoDB (classified as NoSQL) The Basics of Data Management, Data Manipulation and Data Modeling This learning path focuses on common data formats and interfaces. MongoDB Configuration and Setup Watch an example of deploying MongoDB to understand its benefits as a database system.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Map Reduce programs in cloud computing are parallel, making them ideal for executing large-scale data processing across multiple machines in a cluster. NoSQL, for example, may not be appropriate for message queues.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Databand.ai

DECEMBER 13, 2022

He also has more than 10 years of experience in big data, being among the few data engineers to work on Hadoop Big Data Analytics prior to the adoption of public cloud providers like AWS, Azure, and Google Cloud Platform. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

SEPTEMBER 6, 2023

Some of the most popular database management tools in the industry are NoSql, MongoDB and oracle. It will cover topics like Data Warehousing,Linux, Python, SQL, Hadoop, MongoDB, Big Data Processing, Big Data Security,AWS and more. You will become accustomed to challenges that you will face in the industry.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

SEPTEMBER 6, 2023

Cloud Computing : Knowledge of cloud platforms like AWS, Azure, or Google Cloud is essential as these are used by many organizations to deploy their big data solutions. AWS Certified Data Analytics - Specialty exam (DAS-C01) Introduction : AWS Certified Data Analytics – Specialty is for experienced individuals.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

JANUARY 19, 2022

Azure's usage graph grows every year, bringing it closer to AWS. These companies are migrating their data and servers from on-premises to Azure Cloud. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with. What does an Azure data engineer do?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JULY 27, 2021

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms. E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JUNE 17, 2016

Highlight the Big Data Analytics Tools and Technologies You Know The world of analytics and data science is purely skills-based and there are ample skills and technologies like Hadoop, Spark, NoSQL, Python, R, Tableau, etc. that you need to learn to pursue a lucrative career in the industry.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

ProjectPro

NOVEMBER 14, 2015

With Big Data came a need for programming languages and platforms that could provide fast computing and processing capabilities. Tools/Tech stack used: The tools and technologies used for such weblog trend analysis using Apache Hadoop are NoSql, MapReduce, and Hive. This system can even handle emergency situations if required.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., Cloud Memorystore, Amazon ElastiCache, and Azure Cache), applying this concept to a distributed streaming platform is fairly new. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist. No cloud provider lock-in.

Kafka 21

Kafka Management Cloud AWS 21