ProjectPro

MARCH 7, 2016

Most of the big data certification initiatives come from the industry with the intent to establish equilibrium between the supply and demand for skilled big data professionals. Below are the top big data certifications that are worth paying attention to in 2016, if you are planning to get trained in a big data technology.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

Knowledge Hut

DECEMBER 26, 2023

Most of the Data engineers working in the field enroll themselves in several other training programs to learn an outside skill, such as Hadoop or Big Data querying, alongside their Master's degree and PhDs. Hadoop Platform Hadoop is an open-source software library created by the Apache Software Foundation.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

DECEMBER 21, 2021

This includes knowledge of data structures (such as stack, queue, tree, etc.), 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. Machine Learning engineers are often required to collaborate with data engineers to build data workflows.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

SEPTEMBER 26, 2023

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Some of the prominent languages supported include: Scala: Ideal for developers who want to leverage the full power of Apache Spark.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

MARCH 5, 2024

These data engineers work mainly on AI applications and the cloud, using high-rated and upgraded software Data Architect - The average National salary in Singapore for a Data Architect is S$11000 per month. Here are some simple ways to boost your data engineer salary in Singapore : 1.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

ProjectPro

JANUARY 31, 2023

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. This fail-safe model comes directly from the world of Big-Data Distributed systems architecture like Hadoop.

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

JUNE 28, 2016

Apache Kafka is breaking barriers and eliminating the slow batch processing method that is used by Hadoop. Kafka was mainly developed to make working with Hadoop easier. True that it is eliminating the limitations of Hadoop – but it will not eliminate Hadoop itself. Apache Kafka attempts to solve this issue.

Kafka 40

Kafka Systems Hadoop BI 40

ProjectPro

JULY 27, 2021

Read more for a detailed comparison between data scientists and data engineers. How is a data architect different from a data engineer? Data architect Data engineers Data architects visualize and conceptualize data frameworks. Briefly define COSHH.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40