Knowledge Hut

DECEMBER 26, 2023

The responsibilities of Data Analysts are to acquire massive amounts of data, visualize, transform, manage and process the data, and prepare data for business communications. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

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.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

Knowledge Hut

JANUARY 29, 2024

Outlier Detection: Identifying and managing outliers, which are data points that deviate significantly from the norm, to ensure accurate and meaningful analysis. Fraud Detection: Data wrangling can be instrumental in detecting corporate fraud by uncovering suspicious patterns and anomalies in financial data.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Edureka

JULY 4, 2024

Advanced Security Features Security is top-notch with Synapse. You can be confident about your data security with features like column-level security, dynamic data masking, and automated threat detection. Is Azure Synapse an ETL tool? What is the difference between Azure DB and Azure Synapse?

Data Lake 40

Data Lake Pipeline-centric Data Warehouse ETL Tools 40

Edureka

FEBRUARY 9, 2023

Data engineering is a new and evolving field that will withstand the test of time and computing advances. Certified Azure Data Engineers are frequently hired by businesses to convert unstructured data into useful, structured data that data analysts and data scientists can use.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Edureka

FEBRUARY 7, 2023

Dynamic data masking serves several important functions in data security. It can be set up as a security policy on all SQL Databases in an Azure subscription. 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 Hadoop 52

Edureka

JULY 4, 2024

Contact support for Strategy Coach to pick the right solution and rely on numerous configuration options and performance settings to have your data securely and efficiently analyzed and processed. Is Amazon EMR an ETL tool? Amazon EMR can be used as an ETL (Extract, Transform, Load) tool.

AWS 52

AWS Amazon Web Services Hadoop Big Data 52