Knowledge Hut

JUNE 23, 2023

Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Equip yourself with the experience and know-how of Hadoop, Spark, and Kafka, and get some hands-on experience in AWS data engineer skills, Azure, or Google Cloud Platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-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

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. 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.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

JUNE 16, 2023

Cloud computing: For data analysts, familiarity with cloud computing platforms like AWS, Azure, and Google Cloud Platform is crucial. Text analytics: Unstructured text data can be examined and insightful conclusions can be drawn using text analytics tools like RapidMiner and KNIME.

Programming Language 52

Programming Language Cloud Computing Data Preparation Data Science 52

ProjectPro

DECEMBER 21, 2021

A Machine Learning professional needs to have a solid grasp on at least one programming language such as Python, C/C++, R, Java, Spark, Hadoop, etc. Also, you need to gain an excellent understanding of Scala, Python, and Java to work as a machine learning engineer. in a Machine Learning Cloud Architect.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

FEBRUARY 27, 2023

They should be familiar with major coding languages like R, Python, Scala, and Java and scientific computing tools like MATLAB. Besides these subjects, they should also be familiar with computer science as a significant part of machine learning jobs in Singapore involves working on code.

Machine Learning 52

Machine Learning Software Engineer Software Engineering Education 52

Data Engineering Podcast

NOVEMBER 20, 2022

Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP. Support Data Engineering Podcast

Data Lake 130

Data Lake Data Ingestion MongoDB Scala 130

Knowledge Hut

MARCH 20, 2024

Average Salary: $126,245 Required skills: Familiarity with Linux-based infrastructure Exceptional command of Java, Perl, Python, and Ruby Setting up and maintaining databases like MySQL and Mongo Roles and responsibilities: Simplifies the procedures used in software development and deployment. You must be familiar with networking.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

Knowledge Hut

NOVEMBER 7, 2023

A virtual desktop infrastructure or (VDI) service for school management is offered by AWS Cloud by Amazon for Primary Education and K12. Teachers and students can access educational software on a range of devices thanks to the cloud. Google argues that its services are less expensive and more cost-effective than competitors.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JANUARY 31, 2022

Snowflake meets its users where they are most at ease, reducing the need to transfer data over the internet from their cloud environment to Snowflake. Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake. You can deploy Snowflake environments directly from the AWS cloud for AWS users.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Confluent

SEPTEMBER 20, 2019

Imagine that a developer needs to send records from a topic to an S3 bucket in AWS. Implementation effort to send records from a topic to an AWS S3 bucket. Confluent Cloud, for example, provides out-of-the-box connectors so developers don’t need to spend time creating and maintaining their own. That’s just part of the cost.

Kafka 21

Kafka Management Cloud AWS 21

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. The open source platform works with Java , Python, and R.

Scala 64

Scala Data Lake BI Google Cloud 64