Knowledge Hut

MARCH 28, 2024

Role Level: Intermediate Responsibilities Develop and enforce data governance policies, standards, and procedures in Azure environments. Implement data security measures, access controls, and encryption mechanisms to protect sensitive data.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MAY 9, 2024

Responsibilities BI analysts are responsible for studying industry trends, analyzing company data to identify business strategy trends, developing action plans, and preparing reports. Responsibilities Database managers are accountable for maintaining the safety and security of an organization's databases.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

SEPTEMBER 29, 2023

Power BI vs Excel: Data Security Data Security Power BI: Power BI offers robust protection features, which includes function-based access manager, row-stage safety, and records encryption. You can use Excel for data preparation, cleaning, and initial analysis.

BI 52

BI Business Intelligence Datasets Data Analysis 52

Ascend.io

JANUARY 2, 2024

The transformation components can involve a wide array of operations such as data augmentation, filtering, grouping, aggregation, standardization, sorting, deduplication, validation, and verification. The goal is to cleanse, merge, and optimize the data, preparing it for insightful analysis and informed decision-making.

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Knowledge Hut

DECEMBER 7, 2023

Within Power BI, you may convert, model, and clean the data to produce a unified, organized dataset that accurately represents the data you wish to examine. Dataflows: Before raw data is entered into datasets, several data transformation stages can be conducted using dataflows.

BI 52

BI Raw Data Datasets Business Intelligence 52

Knowledge Hut

JANUARY 30, 2024

Extraction: This initial step involves retrieving data from one or multiple sources or systems. During extraction, the process identifies and isolates the relevant data, preparing it for subsequent processing or transformation. Cleaning and validating data during the extraction process is crucial but can be challenging.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Knowledge Hut

APRIL 25, 2023

Power BI Power BI is a cloud-based business analytics service that allows data engineers to visualize and analyze data from different sources. It provides a suite of tools for data preparation, modeling, and visualization, as well as collaboration and sharing.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

ProjectPro

OCTOBER 6, 2021

Cloud DataPrep is a data preparation tool that is serverless. All these services help in a better user interface, and with Google Big Query, one can also upload and manage custom data sets. This can be done on the Google Cloud Platform and can be maintained with all the data security.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

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.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Knowledge Hut

JANUARY 25, 2024

Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected. It's a foundational step in data preparation, setting the stage for meaningful and reliable insights and decision-making. Let's explore these essential tools.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Knowledge Hut

SEPTEMBER 26, 2023

Adding slicers and filters to allow users to control data views. Data Preparation and Transformation Skills Preparing the raw data into the right structure and format is the primary and most important step in data analysis. You must be well versed in using the data dictionary tool in Power BI for this task.

BI 52

BI Business Intelligence Raw Data Data Analysis 52

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

MARCH 31, 2021

One of our customers, Commerzbank, has used the CDP Public Cloud trial to prove that they can combine both Google Cloud and CDP to accelerate their migration to Google Cloud without compromising data security or governance. . Data Preparation (Apache Spark and Apache Hive) .

Google Cloud 90

Google Cloud Cloud Amazon Web Services Cloud Storage 90

Knowledge Hut

DECEMBER 7, 2023

It transforms data from many sources in order to create dynamic dashboards and Business Intelligence reports. Data preparation, modelling, and visualization are expedited by this simple, low-cost method. Power BI vs DevOps: Security Features Power BI: At the dataset level, Power BI offers data security.

BI 52

BI Business Intelligence Datasets Data Analysis 52

Cloudera

DECEMBER 16, 2022

Our open, interoperable platform is deployed easily in all data ecosystems, and includes unique security and governance capabilities. Many of our customers use multiple solutions—but want to consolidate data security, governance, lineage, and metadata management, so that they don’t have to work with multiple vendors.

Database 88

Database Cloud Systems Management 88

ProjectPro

JANUARY 19, 2022

Companies are increasingly substituting physical servers with cloud services, so data engineers need to know about cloud storage and cloud computing. While some businesses have specialized data security teams, many still depend on their data engineers to safely handle and store data to prevent loss or theft.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 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. 14) What are Azure Databricks, and how are they unique from standard data bricks? 17) What Azure SQL DB data security options are offered?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

JANUARY 24, 2024

Role-Based Access Control Power BI empowers administrators like me with role-based access control, allowing us to define user roles and permissions securely. Tableau's role-based access control enables granular permissions, providing me with enhanced control over data security.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

ProjectPro

JANUARY 31, 2022

Traditional data preparation platforms, including Apache Spark, are unnecessarily complex and inefficient, resulting in fragile and costly data pipelines. After that, Snowflake uses this clustering data to speed up queries that employ these columns by avoiding unnecessary micro-partition scanning during querying.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

NOVEMBER 15, 2021

In addition to analytics and data science, RAPIDS focuses on everyday data preparation tasks. It offers a fault-tolerant storage engine that prioritizes data security. It even has a simple web administration panel that is supplied directly from CouchDB!

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

OCTOBER 20, 2021

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

AltexSoft

MARCH 30, 2023

The open protocol is natively integrated with Unity Catalog, so customers can take advantage of governance capabilities and security controls when sharing data internally or externally. Multi-level data security Databricks was designed with security in mind. Databricks two-plane infrastructure.

Scala 64

Scala Data Lake BI Google Cloud 64