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

DECEMBER 21, 2023

The primary process comprises gathering data from multiple sources, storing it in a database to handle vast quantities of information, cleaning it for further use and presenting it in a comprehensible manner. Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language).

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

DECEMBER 28, 2021

Spark Streaming was launched in 2013 to enable data engineers and data scientists to process real-time data from SQL databases, Flume, Amazon Kinesis, etc. Discretized Streams, or DStreams, are fundamental abstractions here, as they represent streams of data divided into small chunks(referred to as batches).

Architecture 52

Architecture Kafka Java Scala 52

ProjectPro

FEBRUARY 8, 2017

The need for speed to use Hadoop for sentiment analysis and machine learning has fuelled the growth of hadoop based data stores like Kudu and adoption of faster databases like MemSQL and Exasol. 2) Big Data is no longer just Hadoop A common misconception is that Big Data and Hadoop are synonymous.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

JUNE 4, 2015

Big data applications using Apache Hadoop continue to run even if any of the individual cluster or server fails owing to the robust and stable nature of Hadoop. Table of Contents Big Data Hadoop Training Videos- What is Hadoop and its popular vendors? MapReduce breaks down a big data processing job into smaller tasks.

Hadoop 52

Hadoop Architecture IT Java 52