Knowledge Hut

JUNE 23, 2023

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Creating NoSQL Database with MongoDB and Compass or Database Design with SQL Server Management Studio (SSMS) You should have the expertise to enter Database Creation and Modeling using MYSQL Workbench.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Cloud Academy

JANUARY 27, 2022

Some good options are Python (because of its flexibility and being able to handle many data types), as well as Java, Scala, and Go. MongoDB Configuration and Setup Watch an example of deploying MongoDB to understand its benefits as a database system. Rely on the real information to guide you.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

MAY 4, 2023

It helps organizations understand big data and helps in collecting, storing, and analyzing vast amounts of data, using technical skills related to NoSQL, SQL, and hybrid infrastructures. They are experts who have a thorough knowledge of SQL data storing and MongoDB NoSQL data warehousing.

Data Engineering 52

Data Engineering Data Engineer Engineering Banking 52

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. 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

U-Next

AUGUST 25, 2022

An open-spurce NoSQL database management program, MongoDB architecture, is used as an alternative to traditional RDMS. MongoDB is built to fulfil the needs of modern apps, with a technical base that allows you through: The document data model demonstrates the most effective approach to work with data. What is MongoDB?

MongoDB 40

MongoDB Architecture NoSQL MySQL 40

Knowledge Hut

APRIL 25, 2024

Backend Programming Languages Java, Python, PHP You need to know specific programming languages to have a career path that leads you to success. Java: This is a language that many often confuse with JavaScript. Hence, java backend skill is essential. Therefore, developers employ MySQL, SQL, PostgreSQL, MongoDB, etc.,

Programming Language 98

Programming Language Java Algorithm MySQL 98

Databand.ai

DECEMBER 13, 2022

Deepanshu’s skills include SQL, data engineering, Apache Spark, ETL, pipelining, Python, and NoSQL, and he has worked on all three major cloud platforms (Google Cloud Platform, Azure, and AWS). Beyond his work at Google, Deepanshu also mentors others on career and interview advice at topmate.io/deepanshu.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

NOVEMBER 14, 2015

It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala. It is an improvement over Hadoop’s two-stage MapReduce paradigm.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Edureka

JANUARY 18, 2024

Programming A minimum of one programming language, such as Python, SQL, Scala, Java, or R, is required for the data science field. NoSQL Databases This blog provides an overview of NoSQL databases, including MongoDB, Cassandra, HBase, and Couchbase.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

AltexSoft

JULY 29, 2022

Apache Hadoop is an open-source Java-based framework that relies on parallel processing and distributed storage for analyzing massive datasets. On top of HDFS, the Hadoop ecosystem provides HBase , a NoSQL database designed to host large tables, with billions of rows and millions of columns. What is Hadoop? Hadoop ecosystem evolvement.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

NOVEMBER 7, 2023

Java, JavaScript, and Python are examples, as are upcoming languages like Go and Scala. SQL, NoSQL, and Linux knowledge are required for database programming. While SQL is well-known, other notable ones include Hadoop and MongoDB. Certain widely used programming languages lend themselves well to cloud-based technologies.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JANUARY 19, 2022

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with. They must be skilled at creating solutions that use the Azure Cosmos DB for NoSQL API.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. In former times, Kafka worked with Java only. The Good and the Bad of Java Development. It offers high throughput, low latency, and scalability that meets the requirements of Big Data.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

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. Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. NoSQL, for example, may not be appropriate for message queues. When is it appropriate to use a NoSQL database?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Confluent

SEPTEMBER 20, 2019

BigQuery, Amazon Redshift, and MongoDB Atlas) and caches (e.g., For example, instead of simply asking you to use the Kafka Streams API in your own Java applications, a managed service should provide a way to implement streaming processing in a much faster runtime with KSQL. Native support for KSQL in Confluent Cloud.

Kafka 21

Kafka Management Cloud AWS 21