ProjectPro

DECEMBER 14, 2021

After loading the sample data into the Power BI desktop, you can modify it with the help of Query Editor. Regardless of the data source, query editors are helpful for editing datasets. In the query editor, you can perform changes like renaming a dataset and removing one or more columns, among other things.

BI 52

BI Project Business Intelligence Datasets 52

Edureka

JUNE 1, 2023

Without spending a lot of money on hardware, it is possible to acquire virtual machines and install software to manage data replication, distributed file systems, and entire big data ecosystems.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

JANUARY 2, 2018

The main objective of Impala is to provide SQL-like interactivity to big data analytics just like other big data tools - Hive, Spark SQL, Drill, HAWQ , Presto and others. Source : [link] ) 4 Big Data Trends To Watch In 2018. CXOToday.com, December 4, 2017. Source : [link] ) Hadoop 3.0

Hadoop 52

Hadoop Big Data Datasets Machine Learning 52

ProjectPro

JUNE 24, 2021

As per McKinsey , 47% of organizations believe that data analytics has impacted the market in their respective industries. According to Forbes , in 2012 only 12% of Fortune 1000 companies reported having a CDO (Chief Data Officer). as of 2018, and is only increasing from there. This number grew to 67.9%

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

APRIL 15, 2016

Preparing for a Hadoop job interview then this list of most commonly asked Apache Pig Interview questions and answers will help you ace your hadoop job interview in 2018. Here’s the first post in the category that lists Apache Pig Interview Questions and Answers for 2018.

Hadoop 40

Hadoop Java Big Data SQL 40