ProjectPro

NOVEMBER 14, 2015

Big data has taken over many aspects of our lives and as it continues to grow and expand, big data is creating the need for better and faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required. Contents: Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Who should take the certification exam?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Big Data Tools

SEPTEMBER 6, 2021

Support for Scala 2.12 and Java 8 still exists but is deprecated. Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities. Who would have thought that building a data quality platform could be this challenging and exciting?

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Big Data Tools

SEPTEMBER 6, 2021

Support for Scala 2.12 and Java 8 still exists but is deprecated. Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities. Who would have thought that building a data quality platform could be this challenging and exciting?

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

ProjectPro

JULY 21, 2021

However, if you're here to choose between Kafka vs. RabbitMQ, we would like to tell you this might not be the right question to ask because each of these big data tools excels with its architectural features, and one can make a decision as to which is the best based on the business use case. What is Kafka? What is Kafka?

Kafka 52

Kafka Big Data Java Architecture 52

ProjectPro

JANUARY 25, 2022

PySpark is used to process real-time data with Kafka and Streaming, and this exhibits low latency. Multi-Language Support PySpark platform is compatible with various programming languages, including Scala, Java, Python, and R. batchSize- A single Java object (batchSize) represents the number of Python objects.

Big Data 52

Big Data Data Process Process Kafka 52

ProjectPro

NOVEMBER 22, 2021

PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. Although Spark was originally created in Scala, the Spark Community has published a new tool called PySpark, which allows Python to be used with Spark.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JANUARY 31, 2023

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Data Variety Hadoop stores structured, semi-structured and unstructured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52