Data Engineering Podcast

AUGUST 27, 2018

Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Your host is Tobias Macey and today I’m interviewing Ellison Anne Williams about Enveil, a pioneering data security company protecting Data in Use Interview Introduction How did you get involved in the area of data security?

Transportation 100

Transportation Hadoop Data Security Architecture 100

Knowledge Hut

NOVEMBER 17, 2023

You must be able to create ETL pipelines using tools like Azure Data Factory and write custom code to extract and transform data if you want to succeed as an Azure Data Engineer. Big Data Technologies You must explore big data technologies such as Apache Spark, Hadoop, and related Azure services like Azure HDInsight.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Cloudera

NOVEMBER 22, 2021

As a result, alternative data integration technologies (e.g., ELT versus ETL) have emerged to address – in the most efficient way – current data movement needs. public, private, hybrid cloud)? Computational Scalability. benchmarking study conducted by independent 3rd party ).

Government 89

Government Hadoop Data Security Data Warehouse 89

Cloudera

OCTOBER 5, 2021

This means many manually implemented Ranger HDFS policies, Hadoop ACLs, or POSIX permissions created solely for this purpose can now be removed, if desired. This eases the operational maintenance requirement for policies and reduces the chance of mistakes that can happen during the manual steps performed by a data steward or admin. .

Hadoop 91

Hadoop SQL Database Accessible 91

Data Engineering Podcast

FEBRUARY 13, 2022

What are some of the data privacy primitives that you include to assist with data security/regulatory concerns? What is the process of getting started with Rudderstack as a software or data platform engineer? What are some of the data privacy primitives that you include to assist with data security/regulatory concerns?

Building 100

Building Hadoop Data Pipeline Metadata 100

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. One can use polybase: From Azure SQL Database or Azure Synapse Analytics, query data kept in Hadoop, Azure Blob Storage, or Azure Data Lake Store.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

AltexSoft

MAY 12, 2023

Without a fixed schema, the data can vary in structure and organization. File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. Data security and privacy. Hadoop, Apache Spark).

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

MARCH 5, 2024

Here are some simple ways to boost your data engineer salary in Singapore : 1. Expand Your Skill Set Different skills that can affect your salary are Big Data Analytics, Scala, Hadoop, Python, AWS, Spark, Linux, etc. Data Engineer job titles vary by company, tasks, and skills required.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

Knowledge Hut

DECEMBER 13, 2023

Micro Focus has rapidly amassed a robust portfolio of Big Data products in just a short amount of time. The Vertica Analytics Platform provides the fastest query processing on SQL Analytics, and Hadoop is built to manage a huge volume of structured data. This tool can process up to 80 terabytes of data.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

NOVEMBER 17, 2023

This certification covers the following things- Working on network technologies in AWS Creating secure applications Deploying hybrid systems. How to design highly available, scalable, and performant systems, implement and deploy applications in AWS, deploy data security practices, and cost optimization approach.

AWS 52

AWS Data Science Certification Amazon Web Services 52

Knowledge Hut

JUNE 23, 2023

You should be well-versed in Python and R, which are beneficial in various data-related operations. Apache Hadoop-based analytics to compute distributed processing and storage against datasets. Machine learning will link your work with data scientists, assisting them with statistical analysis and modeling. What is Data Modeling?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Cloudera

JANUARY 26, 2022

As businesses began to embrace digital transformation, more and more data was collected and stored. The Hadoop framework was developed for storing and processing huge datasets, with an initial goal to index the WWW. In addition to SaaS, Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS) became commercial products.

Cloud 83

Cloud Cloud Computing Hadoop Data Warehouse 83

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Silectis

JANUARY 3, 2021

Big Data Large volumes of structured or unstructured data. Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

DECEMBER 26, 2023

Blockchain Security Various security systems, including mobile and IoT devices, supply chain integration, network control, and identity solutions, are likely to be built on blockchain technology. Due to the complexity of entering and penetrating such networks, blockchain security is at a lower risk of getting hacked.

Programming Language 52

Programming Language Electronics Java Certification 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

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

Monte Carlo

APRIL 24, 2023

One weakness of the data lake architecture was the need to “bolt on” a data store such as Hive or Glue. This was largely overcome when Databricks announced their Unity Catalog feature which fully integrates those metastores along with other partnering data catalog and data security technologies.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 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

Cloudera

DECEMBER 14, 2020

That is why we are outlining four reasons that you should consider for upgrading from Hortonworks DataFlow (HDF), Hortonworks Data Platform (HDP) or Cloudera’s Distribution including Apache Hadoop (CDH) to CDP today. . Simplify and secure operations for administration and governance teams.

Process 68

Process Kafka Government Big Data 68

Knowledge Hut

SEPTEMBER 26, 2023

To ascertain and address data requirements, they engage with business stakeholders. In order to satisfy company demands, they are also in charge of administering, overseeing, and guaranteeing data security and privacy. One of the most popular ways to store data is in databases, both relational and non-relational.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

MARCH 22, 2022

orchestrated data warehouse offloads with Gluent ) that enable successful migration of workloads that previously ran on legacy data platforms or older Hadoop-based distributions. Improve strategic decision making by enabling all foundational capabilities for data democratization (e.g.,

Banking 79

Banking Government Hadoop Retail 79

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. The SDX layer of CDP leverages the full spectrum of Atlas to automatically track and control all data assets.

Data Governance 93

Data Governance Government Metadata Datasets 93

Knowledge Hut

SEPTEMBER 6, 2023

Data Science Bootcamp course from KnowledgeHut will help you gain knowledge on different data engineering concepts. It will cover topics like Data Warehousing,Linux, Python, SQL, Hadoop, MongoDB, Big Data Processing, Big Data Security,AWS and more.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

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

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

APRIL 20, 2023

Enroll in Knowledge Hut's comprehensive course on Data Science today. Cybersecurity vs Data Science [Head-to-Head Comparison] Cybersecurity and data science are well-paying and in-demand jobs that need a thorough grasp of technology and data security.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

ProjectPro

JULY 27, 2021

A data warehouse can contain unstructured data too. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Network File System Hadoop Distributed File System NFS can store and process only small volumes of data. Explain how Big Data and Hadoop are related to each other.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

MARCH 28, 2024

Role Level: Intermediate Responsibilities Design and develop big data solutions using Azure services like Azure HDInsight, Azure Databricks, and Azure Data Lake Storage. Implement data ingestion, processing, and analysis pipelines for large-scale data sets.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MAY 9, 2024

They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually. However, with appropriate skills, it may go as high as $108,000.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Cloudera

AUGUST 26, 2020

Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform.

Machine Learning 80

Machine Learning BI Big Data Data Warehouse 80

Knowledge Hut

SEPTEMBER 22, 2023

Implement data security and governance measures in Azure. Qualifications: Bachelor's degree Microsoft Certified: Azure Data Engineer Associate certification. Experience with Azure data services. Mostly includes Azure SQL Database and Azure Data Factory. Proficiency in SQL and data modeling concepts.

Cloud Computing 52

Cloud Computing Certification Computer Science Programming Language 52

Knowledge Hut

FEBRUARY 2, 2024

Amazon Web Services (AWS) Databases such as MYSQL and Hadoop Programming languages, Linux web servers and APIs Application programming and Data security Networking. Hybrid Cloud is essentially the combination of public and private clouds - two distinct entities that are bound together and work in unison.

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

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. Data storage, management, and access skills are also required.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

ProjectPro

JULY 15, 2021

For example, data security in cloud computing is a crucial area, and working on data security cloud projects will enable you to develop skills in cloud computing, risk management, data security, and privacy. Data security and cloud computing are the areas focussed on this project.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

AltexSoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks two-plane infrastructure.

Scala 64

Scala Data Lake BI Google Cloud 64