Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Cloudera

SEPTEMBER 15, 2022

Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. There are also newer AI/ML applications that need data storage, optimized for unstructured data using developer friendly paradigms like Python Boto API. Bucket types. release version.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Knowledge Hut

JUNE 26, 2023

Hundreds of datasets are available from these two cloud services, so you may practise your analytical skills without having to scrape data from an API. Source: Use Stack Overflow Data for Analytic Purposes 4. We can clean the data, convert the data, and aggregate the data using dbt so that it is ready for analysis.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Grouparoo

NOVEMBER 16, 2021

Transformation is the process of converting the data into the required standard format. Loading is the process of warehousing the data in an accessible location. The advent of cloud-based solutions has enabled a switch to Extract, Load, and Transform (ELT). To remove erroneous values and null entries that can disrupt processing.

Data Mining 52

Data Mining Raw Data ETL Tools Unstructured Data 52

Knowledge Hut

JULY 26, 2023

Database Application Providers- (Amazon, Facebook): Amazon and Facebook are two well-known organizations that offer comprehensive database application solutions. Amazon Web Services (AWS) provides a variety of cloud-based database services to meet a variety of needs. Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

U-Next

AUGUST 11, 2022

BI tools are different types of application software that collect and process huge amounts of unstructured data from internal and external sources. The enormous amounts of data being created provide a problem for firms of all kinds, making it tougher year after year to ensure that all business operations are under check.

Business Intelligence 40

Business Intelligence BI Unstructured Data Programming 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JANUARY 31, 2023

Big data enables businesses to get valuable insights into their products or services. Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Rockset

DECEMBER 9, 2019

It continuously ingests raw data from multiple sources--data lakes, data streams, databases--into its storage layer and allows fast SQL access from both visualisation tools and analytic applications. And if you are planning on copying huge amounts of data to Rockset, this also isn’t a problem.

Data Engineering 40

Data Engineering Data Engineer Raw Data Engineering 40

ProjectPro

MAY 20, 2015

Several big data companies are looking to tame the zettabyte’s of BIG big data with analytics solutions that will help their customers turn it all in meaningful insights.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

MAY 23, 2015

Big Data Analytics Solutions at Walmart Social Media Big Data Solutions Mobile Big Data Analytics Solutions Walmart’ Carts – Engaging Consumers in the Produce Department World's Biggest Private Cloud at Walmart- Data Cafe How Walmart is fighting the battle against big data skills crisis?

Big Data 52

Big Data Data Analysis Hadoop Retail 52