François Nguyen

MARCH 22, 2021

With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services. It gives an anwser to what do we have , where is the data (its address) how many objects do we have ? who are our active users ? Who is doing what ?

Architecture 130

Architecture Technology Google Cloud Metadata 130

Knowledge Hut

JUNE 23, 2023

You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

SEPTEMBER 26, 2023

The duties and responsibilities that a Microsoft Azure Data Engineer is required to carry out are all listed in this section: Data engineers provide and establish on-premises and cloud-based data platform technologies. Relational databases, nonrelational databases, data streams, and file stores are examples of data systems.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 29, 2023

Design and develop data processing (25–30%): This component is concerned with ingesting and developing reliable data processing solutions. Design and implementation of data security (10–15%): In this phase, a data security protocol is designed and put into action.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Silectis

JANUARY 3, 2021

Data lakes allow for more flexibility than a more rigid data warehouse. Data Lineage Data lineage describes the origin and changes to data over time Data Management Data management is the practice of collecting, maintaining, and utilizing data securely and effectively.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

FEBRUARY 11, 2023

If KPI goals are not met, a data architect recommends solutions (including new technologies) to improve the existing framework. Besides, it’s up to this specialist to guarantee compliance with laws, regulations, and standards related to data.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Ascend.io

JANUARY 2, 2024

Ingestion Points at the Source The journey of a data pipeline begins at its sources – or more technically, at the ingestion points. These are the interfaces where the pipeline taps into various systems to acquire data. How will data security be ensured? How will the pipeline be maintained and updated over time?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Knowledge Hut

JUNE 20, 2023

Decentralized Databases: Blockchain technology enables the creation of decentralized databases. Here data is stored on a distributed network of computers rather than in a central location. This can help to improve data security and reduce the risk of data loss or corruption.

Database 52

Database Java Education Data Collection 52

Knowledge Hut

JANUARY 30, 2024

Let's delve into some of the most essential data extraction tools used by professionals across various industries: Apache Nifi: An open-source data integration tool with an intuitive interface for designing data flows and automating data extraction and transformation processes.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

Grouparoo

OCTOBER 6, 2021

be fun and exciting 53 Observability for Data Engineers Pillars of discoverability: freshness, distribution, volume, schema, lineage. "Lineage" What would that look like? Take requests and see how they fit into that. "Lineage" sounds useful for Grouparoo. 54 Perfect Is the Enemy of Good Make MVPs and iterate.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

AltexSoft

AUGUST 29, 2023

Data sources In a data lake architecture, the data journey starts at the source. Data sources can be broadly classified into three categories. Structured data sources. These are the most organized forms of data, often originating from relational databases and tables where the structure is clearly defined.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

DECEMBER 29, 2023

Administrators of database management systems are responsible for their systems' design, integration, and performance. Expertise in cybersecurity and related fields might benefit from professionals that focus on the data security elements of database administration.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

NOVEMBER 16, 2023

This includes knowledge of building secure and reliable applications using the AWS platform, troubleshooting, disaster recovery, data security practices, deployment of hybrid systems, etc. It covers all the features and benefits of using these tools and a step-by-step guide for migrating the database to the Amazon RDS.

AWS 52

AWS Certification Amazon Web Services Machine Learning 52

Cloudera

JANUARY 8, 2018

Organisations need to ensure that they can not only locate all relevant personal data about the individual, but also have the ability to extract or delete that data upon request and in a timely manner.

Relational Database 41

Relational Database Government Data Warehouse Big Data 41

Cloudera

SEPTEMBER 7, 2018

This conventional approach also employs a Relational Database Management System (RDBMS) technology, which, however, falls short in meeting current business demands for scalable, flexible and cost-efficient solutions to insider threat.

Machine Learning 49

Machine Learning Unstructured Data Portfolio Relational Database 49

ProjectPro

FEBRUARY 21, 2023

Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs. Businesses rely on the knowledge and skills of data engineers to deliver scalable solutions to their clients.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving : Strong problem-solving abilities are crucial for solving complex data challenges and efficient data processing. Data Security and Privacy : Considering the sensitivity of data handled in Big Data projects , it is crucial to have awareness of data security and privacy concerns.

Big Data 52

Big Data Certification Hadoop Scala 52

U-Next

MARCH 8, 2023

For more than 40 years, relational databases have been managed and modified using the programming language SQL (Structured Query Language). Given that it lets organizations efficiently store, retrieve, and analyze massive volumes of data, it has become an essential tool in their daily operations.

SQL 97

SQL Relational Database Database Programming Language 97

Knowledge Hut

JULY 24, 2023

It is perfect for sectors like banking, finance, and healthcare that demand higher security and privacy since it offers a tamper-proof, unchangeable record of all transactions. Cloud migration has several benefits, including improved data accessibility, more straightforward data backup and disaster recovery, and lower infrastructure expenses.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

DECEMBER 28, 2023

There are two primary types of databases: relational and non-relational. Businesses utilize relational databases to store information in a tabular format. On the other hand, non-relational databases are less structured and can store data in numerous formats like documents, key-value pairs, graphs, and more.

Database 52

Database MySQL SQL Relational Database 52

Knowledge Hut

SEPTEMBER 22, 2023

To provide their customers with scalable solutions, businesses rely on the expertise and abilities of data engineers. Additionally, as more companies use data to inform their decisions, data security will become even more important.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 30, 2023

Developed by the famous tech giant Microsoft, SQL Server is a durable DBMS that offers a vast range of features for the management of relational databases. They are used to organize data into different tables, which consist of rows and columns, and follow a relational model. Microsoft SQL Server: What is DBMS in SQL?

MySQL 52

MySQL Medical Relational Database Healthcare 52

Knowledge Hut

NOVEMBER 16, 2023

Data Storage As a Solutions Architect, you must have knowledge of databases. There are several data storage options available on the AWS platform. This includes powerful and simple bucket storage like S3, relational database service, and Hadoop clusters. They focus on best practices and hands-on experience.

AWS 52

AWS Cloud Computing Certification Architecture 52

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Learning SQL is essential to comprehend the database and its structures.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Edureka

FEBRUARY 9, 2023

Here are some role-specific skills to consider if you want to become an Azure data engineer: Programming languages are used in the majority of data storage and processing systems. Data engineers must be well-versed in programming languages such as Python, Java, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

JANUARY 24, 2024

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Edureka

FEBRUARY 7, 2023

Dynamic data masking serves several important functions in data security. It is possible to use Azure SQL Database, Azure SQL Managed Instance and Azure Synapse Analytics. It can be set up as a security policy on all SQL Databases in an Azure subscription. 24) How is ADLS Gen2 data security implemented?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloudera

JANUARY 19, 2021

A processor is a pre-developed NiFi component used to integrate with: Traditional datastores: SFTP and Relational Databases for instance. Big data services: like Kafka and HBase. CFM has nearly 400 out-of-box processors for customers to configure in their data flows. . Enterprise Challenges with SLAs and Data Security.

Management 65

Management Big Data Ecosystem Kafka AWS 65

U-Next

SEPTEMBER 9, 2022

Because of Hadoop’s versatility, you can save unstructured data types, including text, symbols, photos, and videos. Traditional relational databases, such as the Oracle database, need data processing before storage. Hadoop uses a distributed computing approach to process large amounts of data.

Hadoop 40

Hadoop Big Data Management Unstructured Data 40

Workfall

MARCH 21, 2023

SurrealDB is the solution for database administration, which includes general admin and user management, enforcing data security and control, performance monitoring, maintaining data integrity, dealing with concurrency transactions, and recovering information in the event of an unexpected system failure. src/main.rs(1):

PostgreSQL 68

PostgreSQL NoSQL Database Unstructured Data 68

AltexSoft

NOVEMBER 10, 2021

Prior to the recent advances in data management technologies, there were two main types of data stores companies could make use of, namely data warehouses and data lakes. Data warehouse. Poor data quality, reliability, and integrity. Issues with data security and governance. websites, etc.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Edureka

AUGUST 2, 2023

Security: Make sure the programme is safe and users can’t access unauthorised quizzes or engage in malicious behaviour. Integration of a database To keep track of quizzes, questions, participants, and results, use a relational database.

Java 52

Java Project Programming Coding 52

ProjectPro

NOVEMBER 15, 2021

DataFrames are used by Spark SQL to accommodate structured and semi-structured data. You can also access data through non-relational databases such as Apache Cassandra, Apache HBase, Apache Hive, and others like the Hadoop Distributed File System. It offers a fault-tolerant storage engine that prioritizes data security.

Big Data 52

Big Data Project Metadata Programming Language 52

Knowledge Hut

SEPTEMBER 6, 2023

I’ve listed down the certifications related to different career paths related to Database, please learn about each of them and make an informed decision about which one will suit you the best. Skills acquired : Relational database concepts Retrieving data using the SQL SELECT statement.

Database 52

Database Certification MongoDB MySQL 52

Knowledge Hut

APRIL 23, 2024

As the name suggests, an SQL developer is a master in his profession who can create, manage, and develop databases using SQL. This programming language helps technologically-savvy experts to query data from RDBMS (Relational Database Management Systems).

SQL 52

SQL Transportation Insurance Certification 52

AltexSoft

NOVEMBER 23, 2021

Implementing data virtualization requires fewer resources and investments compared to building a separate consolidated store. Enhanced data security and governance. All enterprise data is available through a single virtual layer for different users and a variety of use cases. ETL in most cases is unnecessary.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

JULY 27, 2021

Differentiate between relational and non-relational database management systems. Relational Database Management Systems (RDBMS) Non-relational Database Management Systems Relational Databases primarily work with structured data using SQL (Structured Query Language).

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40