Striim

MARCH 4, 2025

Have you ever wondered how the biggest brands in the world falter when it comes to data security? Consider how AT&T, trusted by millions, experienced a breach that exposed 73 million records sensitive details like Social Security numbers, account info, and even passwords.

Data Governance 40

Data Governance Government Healthcare NoSQL 40

ProjectPro

JUNE 6, 2025

Building and maintaining data pipelines Data Engineer - Key Skills Knowledge of at least one programming language, such as Python Understanding of data modeling for both big data and data warehousing Experience with Big Data tools (Hadoop Stack such as HDFS, M/R, Hive, Pig, etc.)

Data Science 56

Data Science Data Mining Data Architect BI 56

ProjectPro

JUNE 6, 2025

This is important since big data can be structured or unstructured or any other format. Therefore, data engineers need data transformation tools to transform and process big data into the desired format. Database tools/frameworks like SQL, NoSQL , etc.,

Data Engineer 45

Data Engineer Data Engineering Engineering Kafka 45

ProjectPro

JUNE 6, 2025

Create databases, data warehouses, and data streams based on business requirements Collaborate with cross-functional teams, stakeholders, and other IT professionals to ensure the enterprise data systems run smoothly. Manage data architecture framework, from platform selection to design, application development, and testing.

Data Architect 40

Data Architect Data Mining Programming Language Java 40

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. Niara is building its big data security analytics platform to detect many sophisticated threats that existing security tools cannot detect. during 2014 - 2020.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

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 Management NoSQL Relational Database 52

ProjectPro

JUNE 6, 2025

When it comes to honing data warehousing as a skill, data engineers should take up projects that involve and focus on data integration , data quality, performance optimization, and data security. You can learn more about data warehousing if you work on a challenging real-world problem.

Data Engineer 49

Data Engineer Data Engineering Engineering Hadoop 49

ProjectPro

JUNE 6, 2025

What is the difference between SQL and NoSQL? NoSQL supports unstructured or semi-structured data (e.g., SQL is better for complex queries and consistency; NoSQL offers flexibility and scalability. MySQL is the best DBMS to use if data security is a high priority. documents, key-value pairs).

SQL 40

SQL MySQL MongoDB Database 40

ProjectPro

JUNE 6, 2025

It offers a fault-tolerant storage engine that prioritizes data security. It can even replace broken nodes without shutting down the system, and it can automatically replicate data across numerous nodes. Furthermore, Cassandra is a NoSQL database in which all nodes are peers, rather than master-slave architecture.

Big Data 49

Big Data Project Metadata Programming Language 49

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

Edureka

JUNE 13, 2024

Query Folding Compatible Sources Some of the data sources that support Query Folding are given below: OData feeds SharePoint Lists Web services Other DirectQuery-enabled sources such as Azure Synapse, Azure Data Lake Storage, Azure SQL Data Warehouse Exchange HDFS, Folder. Contents, Folder.

BI 81

BI Raw Data SQL MongoDB 81

Edureka

AUGUST 18, 2024

General Full Stack Developer Skills required The full stack developer skills list does not just end here; some skills, apart from development, are required for database management, data security, memory allocation, authentication, etc. A full-stack developer is also proficient in different types of databases, including SQL and NoSQL.

Programming Language 98

Programming Language Java Non-relational Database Relational Database 98

Knowledge Hut

DECEMBER 26, 2023

In other words, they develop, maintain, and test Big Data solutions. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. To become a Big Data Engineer, knowledge of Algorithms and Distributed Computing is also desirable.

Data Science 97

Data Science BI Data Mining Business Intelligence 97

AltexSoft

MAY 12, 2023

A loose schema allows for some data structure flexibility while maintaining a general organization. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. Data security and privacy. Ensure data security and privacy.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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

U-Next

AUGUST 17, 2022

Data Engineer roles and responsibilities have certain important components, such as: Refining the software development process using industry standards. Identifying and fixing data security flaws to shield the company from intrusions. Employing data integration technologies to get data from a single domain.

Data Engineer 52

Data Engineer Data Engineering Database-centric Pipeline-centric 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JUNE 23, 2023

Machine learning will link your work with data scientists, assisting them with statistical analysis and modeling. Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala. Step 4 - Who Can Become a Data Engineer? You can also post your work on your LinkedIn profile.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

Edureka

JULY 16, 2024

Back-end developers offer mechanisms of server logic APIs and manage databases with SQL or NoSQL technological stacks in PHP, Python, Ruby, or Node. js, React and Angular as the front-end technology stack, Python and Ruby on Rails as the backend technology stack, and SQL or NoSQL as a database architecture.

NoSQL 40

NoSQL MongoDB PostgreSQL Programming Language 40

ProjectPro

JUNE 6, 2025

It all boils down to the ability to efficiently query, manipulate, and analyze data. SQL provides a unified language for efficient interaction where data sources are diverse and complex. Despite the rise of NoSQL, SQL remains crucial for querying relational databases, data transformations, and data-driven decision-making.

SQL 40

SQL Relational Database Business Analyst Database 40

Knowledge Hut

NOVEMBER 7, 2023

One of the most important applications of cloud computing is data backup. Users can use cloud-based backup services to automatically send data from any location over a wired connection. This ensures the backup procedure and data security. SQL, NoSQL, and Linux knowledge are required for database programming.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

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. For storing structured data that does not adhere to the typical relational database schema, use Azure Tables, a NoSQL storage solution.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Lake 52

ProjectPro

JUNE 6, 2025

Apart from Hadoop, Spark integrates with several other tools and platforms: Spark Streaming can be integrated with Apache Kafka for real-time data processing. Spark can integrate with Apache Cassandra to process data stored in this NoSQL database. How does PySpark help with Data securtiy and privacy?

Hadoop 68

Hadoop Metadata Java Datasets 68

AltexSoft

NOVEMBER 10, 2021

Key data lake limitations: Business intelligence and reporting are challenging as data lakes require additional tools and techniques to support SQL queries. Poor data quality, reliability, and integrity. Issues with data security and governance. websites, etc. This list isn’t exhaustive.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts. Conclusion A position that fits perfectly in the current industry scenario is Microsoft Certified Azure Data Engineer Associate.

Data Engineer 52

Data Engineer Data Engineering Engineering Cloud Computing 52

Grouparoo

OCTOBER 6, 2021

39 How to Prevent a Data Mutiny Key trends: modular architecture, declarative configuration, automated systems 40 Know the Value per Byte of Your Data Check if you are actually using your data 41 Know Your Latencies key questions: how old is data? What would that look like? Increase visibility. how fast are queries?

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Databand.ai

AUGUST 30, 2023

Data storage platforms can include traditional relational databases, NoSQL databases, data lakes, or cloud-based storage services. A DataOps architecture must consider the performance, scalability, and cost implications of the chosen data storage platform.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

ProjectPro

JUNE 6, 2025

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 Engineer 49

Data Engineer Data Engineering Engineering Certification 49

Knowledge Hut

OCTOBER 27, 2023

imread("fingerprint.jpg") fingerprint = extract_fingerprint(image) This project enables secure ATM transactions, reduces the risk of card skimming, and provides a convenient and user-friendly authentication method. cvtColor(image, cv2.COLOR_BGR2GRAY) COLOR_BGR2GRAY) _, thresh = cv2.threshold(gray_image, findContours(thresh, cv2.RETR_TREE,

Software Engineering 98

Software Engineering Software Engineer Coding Project 98

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

Monte Carlo

JUNE 2, 2024

These languages are used to write efficient, maintainable code and create scripts for automation and data processing. Databases and Data Warehousing: Engineers need in-depth knowledge of SQL (88%) and NoSQL databases (71%), as well as data warehousing solutions like Hadoop (61%).

Engineering 52

Engineering Amazon Web Services AWS Data Science 52

Monte Carlo

JUNE 2, 2024

These languages are used to write efficient, maintainable code and create scripts for automation and data processing. Databases and Data Warehousing: Engineers need in-depth knowledge of SQL (88%) and NoSQL databases (71%), as well as data warehousing solutions like Hadoop (61%).

Engineering 52

Engineering Amazon Web Services AWS Data Science 52

Knowledge Hut

APRIL 25, 2023

Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.

Data Engineer 52

Data Engineer Data Engineering Engineering Google Cloud 52

ProjectPro

JANUARY 24, 2023

BigQuery has built-in security and encryption features, allowing users to keep their data secure. Source: Overview of BigQuery Architecture Google BigQuery Datatypes BigQuery supports all major data types present in Standard SQL. Q: Is BigQuery SQL or NoSQL? A: BigQuery is a hybrid system between SQL and NoSQL.

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

ProjectPro

JUNE 6, 2025

Data Processing Pipelines- Familiarity with the different Azure data processing services, such as Azure Data Factory and Azure Synapse Analytics, and development of data processing pipelines for specific use cases, such as data integration and warehousing.

Certification 40

Certification Cloud Cloud Computing SQL 40

Edureka

OCTOBER 15, 2024

To improve data high availability and durability, it is logged and stored continuously in Amazon S3. The logging and storage layer in the Data Plane ensures data security and easy recovery. Is it AWS Aurora SQL or NoSQL? They are an efficient way to improve query processing. Is Amazon Aurora more expensive?

PostgreSQL 52

PostgreSQL MySQL AWS Relational Database 52