Data Engineering Podcast

JUNE 11, 2021

Summary Google pioneered an impressive number of the architectural underpinnings of the broader big data ecosystem. In this episode Lak Lakshmanan enumerates the variety of services that are available for building your various data processing and analytical systems. No more scripts, just SQL.

Google Cloud 100

Google Cloud Cloud Big Data Ecosystem BI 100

Knowledge Hut

JANUARY 18, 2024

Everything from the formulation of a Big Data strategy to the technical equipment and skills a company needs. Hadoop This open-source batch-processing framework can be used for the distributed storage and processing of big data sets. There are four main modules within Hadoop.

Data Process 52

Data Process Process 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

Cloudera

SEPTEMBER 7, 2022

The project-level innovation that brought forth products like Apache Hadoop , Apache Spark , and Apache Kafka is engineering at its finest. More recently, industry leaders have collaborated in furthering the adoption of Apache Iceberg as an industry standard for big data, adding support for it in engines such as Hive and Impala.

Big Data Ecosystem 113

Big Data Ecosystem Hadoop Big Data Architecture 113

Netflix Tech

JULY 15, 2021

Kevin, what drew you to data engineering? I stumbled into data engineering rather than making an intentional career move into the field. I started my career as an application developer with basic familiarity with SQL. I was later hired into my first purely data gig where I was able to deepen my knowledge of big data.

Data Engineering 79

Data Engineering Data Engineer Engineering Entertainment 79

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 Kafka 52

ProjectPro

NOVEMBER 11, 2014

Confused over which framework to choose for big data processing - Hadoop MapReduce vs. Apache Spark. This blog helps you understand the critical differences between two popular big data frameworks. Hadoop and Spark are popular apache projects in the big data ecosystem.

Hadoop 40

Hadoop Scala Machine Learning Big Data 40