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

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

Follow Charles on LinkedIn 3) Deepak Goyal Azure Instructor at Microsoft Deepak is a certified big data and Azure Cloud Solution Architect with more than 13 years of experience in the IT industry. It also features tidbits from Deepak’s personal experience and advice on acing interviews to help land your dream job.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JULY 12, 2021

You might need to use a cloud platform to do this, so in depth knowledge of these platforms is recommended. 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 be familiar with programming languages like Python, Java, and C++.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

Knowledge Hut

MARCH 19, 2024

I am also experienced in big data technologies with Data Science courses in Hadoop, Spark, and NoSQL databases. Career Objective for Experienced Cloud Engineer resumeworded Example 1: Experienced Cloud Engineer with over 6 years of experience in developing and managing cloud-based solutions.

Finance 52

Finance Certification Utilities Business Intelligence 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

Knowledge Hut

NOVEMBER 7, 2023

The applications of cloud computing in businesses of all sizes, types, and industries for a wide range of applications, including data backup, email, disaster recovery, virtual desktops big data analytics, software development and testing, and customer-facing web apps. What Is Cloud Computing?

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Knowledge Hut

MARCH 20, 2024

Average Salary: $111,691 Required skills: One of the fundamental abilities of a Security Engineer is programming. Most programming languages, including Java, Python, C++, Node, etc, should be quite familiar to you. They build and manage cloud-based apps by utilizing these providers' abilities.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

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

Confluent

MARCH 4, 2019

Cloud is one of the key drivers for innovation. But to perform all this experimentation; companies cannot wait weeks or even months for IT to get them the appropriate infrastructure so they can start innovating, hence why cloud computing is becoming a standard for new developments. But cloud alone doesn’t solve all the problems.

Cloud 88

Cloud Banking Kafka NoSQL 88

Knowledge Hut

DECEMBER 26, 2023

For examples: Offline Integrated Development Environment / Code Editors Microsoft Visual Studio Code A very lightweight editor by Microsoft which supports many programming languages. Visual Studio Code presents a highly optimized source-code editor for building and debugging modern web and cloud applications.

MongoDB 98

MongoDB Programming Language Java Relational Database 98

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

Knowledge Hut

MARCH 27, 2024

Configure Azure, AWS, and Google Cloud services simultaneously. As a result, cloud computing costs are also reduced by 50%. Data can be processed for the application of big data analysis over the cloud and segregated using Xplenty. Features: Integrated apps can be deployed on-premises and in the cloud.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

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

ProjectPro

JUNE 17, 2015

3 out of 5 highest paid jobs require big data and cloud computing skills. Here is the list of top 15 big data and cloud computing skills professionals need to master to cash in rewarding big data and cloud computing jobs. ”-said Mr Shravan Goli, President of Dice.

Cloud Computing 40

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

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. ESRE enables advanced relevance ranking, natural language processing (NLP), and the ability to work with large language models (LLMs) like OpenAI’s GPT-3 and GPT-4.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

NOVEMBER 15, 2021

As per the surveyors, Big data (35 percent), Cloud computing (39 percent), operating systems (33 percent), and the Internet of Things (31 percent) are all expected to be impacted by open source shortly. Apache Beam Source: Google Cloud Platform Apache Beam is an advanced unified programming open-source model launched in 2016.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

OCTOBER 21, 2022

A single cluster can span across multiple data centers and cloud facilities. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. Today, it remains the only language of the main Kafka project. The Good and the Bad of Swift Programming Language. Web App Development.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

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

Confluent

SEPTEMBER 20, 2019

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. Confluent Cloud for instance, allows the user to effectively start working with Apache Kafka in 90 seconds.

Kafka 21

Kafka Management Cloud AWS 21

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. Also, acquire a solid knowledge of databases such as the NoSQL or Oracle database.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40