Knowledge Hut

SEPTEMBER 6, 2023

Skills acquired : Relational database concepts Retrieving data using the SQL SELECT statement. Managing source code using GIT Using Database Security Defining Application Security Pre-requisite and preparation : There is no separate exam pre-requisite. Practice tests are good for preparation before booking the actual exam.

Database 52

Database Certification MongoDB MySQL 52

U-Next

AUGUST 11, 2022

Depending on the data modelling need, you may need to work with relational databases (like MYSQL, db2 or PostgreSQL) or NoSQL databases (like MongoDB). While you may have access to an existing database, at times, you may need to build one from scratch.

Data Science 40

Data Science Relational Database PostgreSQL MongoDB 40

ProjectPro

JANUARY 19, 2022

Here is a book recommendation : Python for Absolute Beginners by Michael Dawson. The book is a fun read for an entry-level data engineer aspirant, and you won’t feel bored if you work on the exercises given in the book. This book has detailed chapters that have been divided into eight parts.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

SEPTEMBER 26, 2023

Relational databases, nonrelational databases, data streams, and file stores are examples of data systems. Popular Big Data tools and technologies that a data engineer has to be familiar with include Hadoop, MongoDB, and Kafka. Book and schedule your exam once you are fully prepared for it.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

Certification Provider : IBM Duration : ~5 months at 10 hours a week Cost : $98 USD Importance : Learn to create, design, & manage relational databases & apply database administration (DBA) concepts to RDBMSs such as MySQL, PostgreSQL, & IBM Db2. Books: Books are excellent resources to gain in-depth knowledge.If

Big Data 52

Big Data Certification Hadoop Kafka 52

Cloudera

DECEMBER 12, 2018

I would like to start off by asking you to tell us about your background and what kicked off your 20-year career in relational database technology? Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. There’s MongoDB for document stores. you name it.

Data Warehouse 42

Data Warehouse Relational Database Hadoop Database 42

AltexSoft

MARCH 14, 2023

It must collect, analyze, and leverage large amounts of customer data from various sources, including booking history from a CRM system, search queries tracked with Google Analytics, and social media interactions. Databases store key information that powers a company’s product, such as user data and product data.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Rockset

SEPTEMBER 13, 2022

It has direct connectors for a number of primary data stores, including DynamoDB, MongoDB, Kafka, and many relational databases. As Rockset ingests data from your primary database, it then indexes your data in a Converged Index , which borrows concepts from: a row index, an inverted index, and a columnar index.

SQL 52

SQL Database Relational Database NoSQL 52