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 96

Hadoop SQL Database Accessibility 96

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

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 87

Cloud Cloud Computing Hadoop Data Warehouse 87

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 97

Data Governance Government Metadata Datasets 97

Monte Carlo

MAY 28, 2024

Batch Processing Tools For batch processing, tools like Apache Hadoop and Spark are widely used. Hadoop handles large-scale data storage and processing, while Spark offers fast in-memory computing capabilities for further processing. Solution : Utilize scalable tools like Apache Kafka to manage data flow efficiently.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

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 71

Process Kafka Government Big Data 71

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

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 84

Machine Learning BI Big Data Data Warehouse 84

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Airflow — An open-source platform to programmatically author, schedule, and monitor data pipelines.

Consulting 121

Consulting Machine Learning Data Science Data Pipeline 121

ProjectPro

APRIL 17, 2015

Businesses are wading into the big data trends as they do not want to take the risk of being left behind. This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. billionby 2020, recording a CAGR of 35.1% during 2014 - 2020.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 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 80

Banking Government Hadoop Retail 80

Knowledge Hut

SEPTEMBER 6, 2023

Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing.

Big Data 52

Big Data Certification Hadoop Kafka 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

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

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 Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Edureka

JULY 4, 2024

It is a cloud-based service by Amazon Web Services (AWS) that simplifies processing large, distributed datasets using popular open-source frameworks, including Apache Hadoop and Spark. Amazon EMR itself is not open-source, but it supports a wide range of open-source big data frameworks such as Apache Hadoop, Spark, HBase, and Presto.

AWS 52

AWS Amazon Web Services Hadoop Big Data 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. 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 Hadoop 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 Machine Learning 98

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

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

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

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

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 NoSQL 52

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

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

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

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

ProjectPro

MAY 8, 2015

Cuban government turned to a Spanish big data analytics firm Social Vane to crunch big data for improving hotels and infrastructure. Table of Contents How big data is changing the world? Big data security tools and technologies will improve in response to the huge amounts of big data leveraged for analytics purpose.

Big Data 40

Big Data Retail Banking Healthcare 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. Data storage, management, and access skills are also required.

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 Hadoop Data Lake 44

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

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

JANUARY 12, 2024

Learning MySQL and Hadoop can be pleasant. Open Web services are used to describe data along with tag and transfer. You can use platforms like XML, UDDI, SOAP, etc Information security : Companies always want to protect their data. Languages like Java, Ruby, and PHP are in great demand.

Cloud Computing 98

Cloud Computing Cloud Computer Science Education 98

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 Data Science AWS 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 Data Science AWS 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

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 Certification Java 52