Data Engineering Podcast

JULY 10, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. 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.

Data Engineer 100

Data Engineer Data Engineering Engineering MongoDB 100

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. Some Kafka and Rockset users have also built real-time e-commerce applications , for example, using Rockset’s Java, Node.js However, Apache Kafka is more than just messaging.

Kafka 21

Kafka SQL BI Hadoop 21

ProjectPro

MAY 20, 2016

We usually refer to the information available on sites like ProjectPro, where the free resources are quite informative, when it comes to learning about Hadoop and its components. ” The Hadoop Definitive Guide by Tom White could be The Guide in fulfilling your dream to pursue a career as a Hadoop developer or a big data professional. .”

Hadoop 40

Hadoop Big Data Portfolio Coding 40

Data Engineering Podcast

OCTOBER 9, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. 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.

Food 100

Food MongoDB MySQL Scala 100

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

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. How is Hadoop related to Big Data? RDBMS stores structured data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Knowledge Hut

NOVEMBER 2, 2023

Top 10 Azure Data Engineering Project Ideas for Beginners For beginners looking to gain practical experience in Azure Data Engineering, here are 10 Azure Data engineer real time projects ideas that cover various aspects of data processing, storage, analysis, and visualization using Azure services: 1.

Data Engineer 52

Data Engineer Data Engineering Project Coding 52

Ascend.io

FEBRUARY 15, 2023

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. I didn’t know it yet, but big data would be a big deal Google was my first position out of college.

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Ascend.io

FEBRUARY 15, 2023

Back in 2004, I got to work with MapReduce at Google years before Apache Hadoop was even released, using it on a nearly daily basis to analyze user activity on web search and analyze the efficacy of user experiments. I didn’t know it yet, but big data would be a big deal Google was my first position out of college.

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Knowledge Hut

APRIL 25, 2023

Here are some essential skills for data engineers when working with data engineering tools. Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

ProjectPro

AUGUST 24, 2021

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Rockset

MAY 17, 2022

And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time. Hive implemented an SQL layer on Hadoop’s native MapReduce programming paradigm. Flexible schemas that can adjust automatically based on the structure of the incoming streaming data.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Confluent

OCTOBER 16, 2019

With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers. The platform shown in this article is built using just SQL and JSON configuration files—not a scrap of Java code in sight. variation_status" : "LATE". loc_stanox" : "54311" }.

Kafka 19

Kafka Building Data Coding 19

ProjectPro

FEBRUARY 21, 2023

Hortonworks Data Engineering Certification The HDP Certified Developer (HDPCD) certification is another popular data engineering certification you can earn to build a successful career in this domain. Cloudera: You can take a Spark and Hadoop training course the platform provides. Candidates must register on www.examslocal.com.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

AltexSoft

SEPTEMBER 21, 2023

It is developed in Java and built upon the highly reputable Apache Lucene library. This remarkable efficiency is a game-changer compared to traditional batch processing engines like Hadoop , enabling real-time analytics and insights. This means that Elasticsearch can be easily integrated into different modern data stacks.

Engineering 52

Engineering NoSQL Programming Language Java 52

ProjectPro

NOVEMBER 22, 2021

MapReduce Apache Spark Only batch-wise data processing is done using MapReduce. Apache Spark can handle data in both real-time and batch mode. The data is stored in HDFS (Hadoop Distributed File System), which takes a long time to retrieve. MEMORY AND DISK: On the JVM, the RDDs are saved as deserialized Java objects.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

JANUARY 19, 2022

Data Engineering Requirements Here is a list of skills needed to become a data engineer: Highly skilled at graduation-level mathematics. Good skills in computer programming languages like R, Python, Java, C++, etc. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Knowledge Hut

MAY 2, 2024

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R.

Scala 52

Scala Hospitality Machine Learning Healthcare 52

Sync Computing

NOVEMBER 7, 2024

Mobile devices, cloud computing, and the internet of things have significantly accelerated growth in data volume and velocity in recent years. The growing role of big data and associated technologies, like Hadoop and Spark, have nudged the industry away from its legacy origins and toward cloud data warehousing.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

ProjectPro

NOVEMBER 15, 2021

It even allows you to build a program that defines the data pipeline using open-source Beam SDKs (Software Development Kits) in any three programming languages: Java, Python, and Go. DataFrames are used by Spark SQL to accommodate structured and semi-structured data. However, Trino is not limited to HDFS access.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Transformation section.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 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. When it comes to data ingestion pipelines, PySpark has a lot of advantages. pyFiles- The.zip or.py

Big Data 52

Big Data Data Process Process Kafka 52

phData: Data Engineering

JANUARY 3, 2022

phData Cloud Foundation is dedicated to machine learning and data analytics, with prebuilt stacks for a range of analytical tools, including AWS EMR, Airflow, AWS Redshift, AWS DMS, Snowflake, Databricks, Cloudera Hadoop, and more. A common example of this would be taking a Java project and building that into a jar file.

IT 52

IT AWS Software Engineer Software Engineering 52

AltexSoft

MARCH 30, 2023

Databricks architecture Databricks provides an ecosystem of tools and services covering the entire analytics process — from data ingestion to training and deploying machine learning models. Besides that, it’s fully compatible with various data ingestion and ETL tools. Let’s see what exactly Databricks has to offer.

Scala 64

Scala Data Lake Machine Learning BI 64