AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. Key differences between structured, semi-structured, and unstructured data.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

phData: Data Engineering

JANUARY 3, 2022

This involves: Building data pipelines and efficiently storing data for tools that need to query the data. Analyzing the data, ensuring it adheres to data governance rules and regulations. Understanding the pros and cons of data storage and query options. What is Data Modeling?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

ProjectPro

FEBRUARY 8, 2017

Organizations today are looking to glean insights from a host of multiple sources ranging from systems of record to cloud warehouses and structured and unstructured data from both non-hadoop and hadoop sources. Data lakes allow enterprise to centralize all sorts of information and gain competitive edge in the market.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40

ProjectPro

MARCH 17, 2014

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Image Credit: twitter.com There are hundreds of companies like Facebook, Twitter, and LinkedIn generating yottabytes of data. What is Big Data according to EMC? What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

ProjectPro

JUNE 4, 2015

In our earlier articles, we have defined “What is Apache Hadoop” To recap, Apache Hadoop is a distributed computing open source framework for storing and processing huge unstructured datasets distributed across different clusters. Table of Contents Big Data Hadoop Training Videos- What is Hadoop and its popular vendors?

Hadoop 52

Hadoop Architecture IT Java 52