ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Table of contents Hive vs Pig What is Big Data and Hadoop?

Hadoop 52

Hadoop Unstructured Data Java SQL 52

Maxime Beauchemin

JANUARY 20, 2017

This discipline also integrates specialization around the operation of so called “big data” distributed systems, along with concepts around the extended Hadoop ecosystem, stream processing, and in computation at scale. This includes tasks like setting up and operating platforms like Hadoop/Hive/HBase, Spark, and the like.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

ProjectPro

SEPTEMBER 26, 2021

ETL Tools: Extract, Transfer, and Load (ETL) pulls data from numerous sources and applies specific rules on the data sets as per the business requirements. As a Big Data Engineer, you shall also know and understand the Big Data architecture and Big Data tools. Hadoop, for instance, is open-source software.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

DECEMBER 7, 2016

HBase and Hive are two hadoop based big data technologies that serve different purposes. billion monthly active users on Facebook and the profile page loading at lightning fast speed, can you think of a single big data technology like Hadoop or Hive or HBase doing all this at the backend?

Technology 40

Technology NoSQL Hadoop Data Mining 40

ProjectPro

FEBRUARY 18, 2022

You'll use Hive as an ETL tool, i.e., create several ETL pipelines for storing the processed data in a table using Hive. Source Code- Build an End-to-End ETL Pipeline on AWS EMR Cluster AWS Snowflake Data Pipeline using Kinesis and Airflow For this ETL project, create a data pipeline starting with EC2 logs.

Project 52

Project AWS Kafka Healthcare 52

ProjectPro

JUNE 23, 2016

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. Needless to say, you are confident that you are going to nail this Hadoop job interview. directly into HDFS or Hive or HBase.

Hadoop 40

Hadoop MySQL Relational Database Java 40

ProjectPro

NOVEMBER 30, 2021

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects ETL Pipeline Tutorial - How to Build an ETL Pipeline? Here’s a brief ETL pipeline tutorial presenting a step-by-step approach to building an end-to-end ETL data pipeline with batch processing - Step 1.

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

JULY 27, 2021

Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Network File System Hadoop Distributed File System NFS can store and process only small volumes of data.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JANUARY 19, 2022

Azure Data Engineer Job Description | Accenture Azure Certified Data Engineer Azure Data Engineer Certification Microsoft Azure Projects for Practice to Enhance Your Portfolio FAQs Who is an Azure Data Engineer? Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JUNE 2, 2015

Before organizations rely on data driven decision making, it is important for them to have a good processing power like Hadoop in place for data processing. Thus, organizations must make use of effective ETL tools to ease the process of data preparation that requires a less complex IT infrastructure.

Big Data 40

Big Data Hadoop Banking Retail 40

ProjectPro

DECEMBER 7, 2021

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects What is an ETL Data Pipeline? ETL is the acronym for Extract, Transform, and Load. An ETL pipeline is a series of procedures that comprises extracting and transforming data from a data source.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52