Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 84

Engineering Raw Data Data Science Scala 84

ProjectPro

SEPTEMBER 30, 2014

While the initial era of ETL ignited enough sparks and got everyone to sit up, take notice and applaud its capabilities, its usability in the era of Big Data is increasingly coming under the scanner as the CIOs start taking note of its limitations. Thus, why not take the lead and prepare yourself to tackle any situation in the future?

Hadoop 52

Hadoop Unstructured Data ETL Tools ETL System 52

ProjectPro

OCTOBER 15, 2014

Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. What is Big Data and Hadoop? Generally data to be stored in the database is categorized into 3 types namely Structured Data, Semi Structured Data and Unstructured Data.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

ProjectPro

MARCH 21, 2016

Table of Contents Need to Offload Data from Mainframes to Hadoop Challenges to be Successful with Hadoop and Mainframes Mainframe Legacy Systems Ride on Hadoop: Offloading from Mainframe to Hadoop Advantages of Using Hadoop with Mainframes for Legacy Workload Why Mainframe Professionals should learn Hadoop in 2016?

Hadoop 40

Hadoop Insurance Big Data Retail 40