ETL Tools Raw Data SQL Unstructured Data 
Knowledge Hut
JANUARY 30, 2024
In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?
Ascend.io
AUGUST 31, 2023
For example, unlike traditional platforms with set schemas, data lakes adapt to frequently changing data structures at points where the data is loaded , accessed, and used. These fluid conditions require unstructured data environments that natively operate with constantly changing formats, data structures, and data semantics.
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DareData
JULY 5, 2023
If you work at a relatively large company, you've seen this cycle happening many times: Analytics team wants to use unstructured data on their models or analysis. For example, an industrial analytics team wants to use the logs from raw data.
AltexSoft
AUGUST 29, 2023
The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. Semi-structured data sources. Raw data store section.
Knowledge Hut
NOVEMBER 28, 2023
With a plethora of new technology tools on the market, data engineers should update their skill set with continuous learning and data engineer certification programs. What do Data Engineers Do? Kafka is great for ETL and provides memory buffers that provide process reliability and resilience.
ProjectPro
DECEMBER 7, 2021
It can also consist of simple or advanced processes like ETL (Extract, Transform and Load) or handle training datasets in machine learning applications. In broader terms, two types of data -- structured and unstructured data -- flow through a data pipeline.
ProjectPro
OCTOBER 15, 2014
Makes use of exact variation of dedicated SQL DDL language by defining tables beforehand. Pig is SQL like but varies to a great extent. Directly leverages SQL and is easy to learn for database experts. What is Big Data and Hadoop? Hive is similar to a SQL Interface in Hadoop. Pig supports Avro file format.
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