Data Integration Data Preparation Government Structured Data 
ThoughtSpot
MARCH 5, 2024
Simplifiy multi-structured data integration by federating JSON, XML, and other formats through Snowflake for analysis. Govern self-service in ThoughtSpot by using multi-structured and transformed data hosted alongside transactional systems in Snowflake.
Knowledge Hut
OCTOBER 30, 2023
This data and reports are generated and developed by Power BI developers. A Power BI developer is a business intelligence personnel who thoroughly understands business intelligence, data integration, data warehousing, modeling, database administration, and technical aspects of BI systems.
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Knowledge Hut
JANUARY 30, 2024
Goal To extract and transform data from its raw form into a structured format for analysis. To uncover hidden knowledge and meaningful patterns in data for decision-making. Data Source Typically starts with unprocessed or poorly structured data sources. Analyzing and deriving valuable insights from data.
Knowledge Hut
APRIL 25, 2023
Data modeling: Data engineers should be able to design and develop data models that help represent complex data structures effectively. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.
Knowledge Hut
JUNE 28, 2023
In our data-driven world, our lives are governed by big data. The TV shows we watch, the social media we follow, the news we read, and even the optimized routes we take to work are all influenced by the power of big data analytics. Focus Exploration and discovery of hidden patterns and trends in data.
Knowledge Hut
APRIL 25, 2024
These technologies are necessary for data scientists to speed up and increase the efficiency of the process. The main features of big data analytics are: 1. Data wrangling and Preparation The idea of Data Preparation procedures conducted once during the project and performed before using any iterative model.
ProjectPro
MAY 20, 2015
It provides the first purpose-built Adaptive Data Preparation Solution(launched in 2013) for data scientist, IT teams, data curators, developers, and business analysts -to integrate, cleanse and enrich raw data into meaningful analytic ready big data that can power operational, predictive , ad-hoc and packaged analytics.
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