ProjectPro

JANUARY 31, 2023

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Edureka

FEBRUARY 7, 2023

One can use polybase: From Azure SQL Database or Azure Synapse Analytics, query data kept in Hadoop, Azure Blob Storage, or Azure Data Lake Store. It does away with the requirement to import data from an outside source. Export information to Azure Data Lake Store, Azure Blob Storage, or Hadoop.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

ProjectPro

FEBRUARY 21, 2023

This blog covers the most valuable data engineering certifications worth paying attention to in 2023 if you plan to land a successful job in the data engineering domain. Why Are Data Engineering Skills In Demand? The World Economic Forum predicts that by 2025, 463 exabytes of data will be produced daily across the world.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 26, 2015

The largest item on Claude Shannon’s list of items was the Library of Congress that measured 100 trillion bits of data. 1960 - Data warehousing became cheaper. 1996 - Digital data storage became cost effective than paper - according to R.J.T. quintillion bytes of data is produced everyday i.e. 2.5

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40

ProjectPro

NOVEMBER 22, 2021

The data is stored in HDFS (Hadoop Distributed File System), which takes a long time to retrieve. Spark saves data in memory (RAM), making data retrieval quicker and faster when needed. Spark is a low-latency computation platform because it offers in-memory data storage and caching.

Hadoop 52

Hadoop Python Datasets Metadata 52