Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

DECEMBER 26, 2023

Junior/Entry-Level Jobs For entry-level full-stack web developer jobs in the US, candidates must know programming languages used in front-end and back-end development. In order to get dynamic material from the MySQL database and return it to the user, the PHP programming language collaborates with Apache.

MySQL 52

MySQL MongoDB Programming Language Computer Science 52

Knowledge Hut

APRIL 24, 2024

C# is an excellent, elegant and expressive programming language — the best friend of DOTNET developers. Azure, Google Cloud, and Amazon AWS are the most preferred cloud service providers. With the help of.NET, you ensure a fast, functional, and scalable cloud application at hand.

NoSQL 59

NoSQL AWS Google Cloud Cloud 59

AltexSoft

JULY 29, 2022

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. In terms of the community size, Hadoop can hardly compete with top programming languages or web technologies. Expertise in any programming language will make learning Hadoop easier.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Knowledge Hut

MAY 31, 2023

Programming Languages Cloud application development and cloud DevOps have emerged as specialities in application development. Big companies like Google and DropBox use Golang for cloud programming. Skills required: Cloud platforms, programming languages, and knowledge of microservices architecture.

Cloud Computing 52

Cloud Computing Cloud Programming Language AWS 52

AltexSoft

SEPTEMBER 21, 2023

First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database. You can stream logs, metrics, and other data from your apps, endpoints, and infrastructure, whether cloud-based, on-premises, or a mix of both. What is Elasticsearch?

Engineering 52

Engineering NoSQL Programming Language Java 52

Cloud Academy

JANUARY 27, 2022

How to become a data engineer Here’s a 6-step process to become a data engineer: Understand data fundamentals Get a basic understanding of SQL Have knowledge of regular expressions (RegEx) Have experience with the JSON format Understand the theory and practice of machine learning (ML) Have experience with programming languages 1.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 16, 2023

The most popular databases for which data analysts need to be proficient are SQL and NoSQL databases. Cloud computing: For data analysts, familiarity with cloud computing platforms like AWS, Azure, and Google Cloud Platform is crucial. Using databases efficiently is an important data analyst technical skill.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

Knowledge Hut

MARCH 27, 2024

Configure Azure, AWS, and Google Cloud services simultaneously. As a result, cloud computing costs are also reduced by 50%. MongoDB This free, open-source platform, which came into the limelight in 2010, is a document-oriented (NoSQL) database that is used to store a large amount of information in a structured manner.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

ProjectPro

JANUARY 19, 2022

Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines. Good skills in computer programming languages like R, Python, Java, C++, etc. Experience with using cloud services providing platforms like AWS/GCP/Azure.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 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. 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

JUNE 17, 2015

2) NoSQL Databases -Average Salary$118,587 If on one side of the big data virtuous cycle is Hadoop, then the other is occupied by NoSQL databases. According to Dice, the number of big data jobs for professionals with experience in a NoSQL databases like MongoDB, Cassandra and HBase has increased by 54% since last year.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

Edureka

JANUARY 12, 2024

Platforms like AWS Lambda, Azure Functions, and Google Cloud Functions are popular choices. GraphQL: This query language allows for efficient data retrieval and manipulation, providing a more flexible and user-friendly API compared to traditional REST APIs. What are the types of design patterns?

NoSQL 52

NoSQL Java MongoDB Programming 52

ProjectPro

NOVEMBER 15, 2021

Apache Beam Source: Google Cloud Platform Apache Beam is an advanced unified programming open-source model launched in 2016. To execute pipelines, beam supports numerous distributed processing back-ends, including Apache Flink, Apache Spark , Apache Samza, Hazelcast Jet, Google Cloud Dataflow, etc.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

OCTOBER 21, 2022

popular SQL and NoSQL database management systems including Oracle, SQL Server, Postgres, MySQL, MongoDB, Cassandra, and more; cloud storage services — Amazon S3, Azure Blob, and Google Cloud Storage; message brokers such as ActiveMQ, IBM MQ, and RabbitMQ; Big Data processing systems like Hadoop ; and.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JULY 12, 2021

A data engineer is expected to be adept at using ETL (Extract, Transform and Load) tools and be able to work with both SQL and NoSQL databases. They should also be fluent in programming languages like Python and should know basic shell scripting in Unix and Linux.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Confluent

MARCH 4, 2019

With careful consideration, one of the startups was selected to build the first release of Genesis in the cloud, due to their experience in creating cloud-native applications using Java—the same programming language used to create Genesis.

Cloud 88

Cloud Banking Kafka NoSQL 88

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

Knowledge Hut

MARCH 19, 2024

I am also experienced in big data technologies with Data Science courses in Hadoop, Spark, and NoSQL databases. Track record of reducing costs and improving operational efficiency through the use of innovative cloud technologies. My skills include machine learning, statistics, data visualization, and predictive modeling.

Finance 52

Finance Certification Utilities Business Intelligence 52

ProjectPro

JULY 27, 2021

A sound command over software and programming languages is important for a data scientist and a data engineer. Also, acquire a solid knowledge of databases such as the NoSQL or Oracle database. Organizations employ a variety of providers including AWS, Google Cloud , and Azure for their BI and Machine Learning applications.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Confluent

SEPTEMBER 20, 2019

The scenario presented could be easily addressed with a managed service that provides native clients for different programming languages, beyond what is provided by Apache Kafka. Confluent Cloud provides native clients for programming languages like Java, C/C++, Go,NET, Python, and Scala. Ready to start?

Kafka 21

Kafka Management Cloud AWS 21