Knowledge Hut

APRIL 25, 2024

However, advances in technology have now made it possible to store, process, and analyze big data quickly and effectively. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Cloud Academy

JANUARY 27, 2022

Microsoft SQL Server Document-oriented database: MongoDB (classified as NoSQL) The Basics of Data Management, Data Manipulation and Data Modeling This learning path focuses on common data formats and interfaces. Apache Kafka Amazon MSK and Kafka Under the Hood Apache Kafka is an open-source streaming platform.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, Azure Data Lake, Azure Blob Storage, Azure Cosmos DB, Azure Stream Analytics, Azure HDInsight, and other Azure data services are just a few of the many Azure data services that Azure data engineers deal with.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

SEPTEMBER 26, 2023

Additionally, we must be aware of how data systems have developed and helped data professionals. Find out what makes on-premises and cloud data solutions different. A data engineer has to be well-versed in both the duties of the field and the related sector.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 1, 2017

The data architecture is based on open source standards Pentaho and is used for managing, preparing and integrating data that runs through their environments including Cloudera Hadoop Distribution , HP Vertica, Flume and Kafka. v) In 2017, we might think of big data as a data fabric. The future of Hadoop is cloudy.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

Knowledge Hut

SEPTEMBER 6, 2023

Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

JUNE 23, 2023

You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning. You should be able to work on complex projects and design and implement data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52