Snowflake

JUNE 29, 2023

What this means for the defense community Data is a strategic asset. As the DoD continues to evolve into a data-centric organization, the challenge becomes how to centralize, analyze, and share data securely, at speed and at scale.

Education 52

Education Government Data Lake Data Security 52

Knowledge Hut

NOVEMBER 17, 2023

To provide end users with a variety of ready-made models, Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs. Data Security : Data engineers often play a role in data security by implementing access controls and encryption measures to protect data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Towards Data Science

DECEMBER 15, 2023

Even the best of us sometimes demonize the parts of our organization whose primary goals are in the privacy and security area and conflict with our wishes to splash around in the data lake. In reality, data scientists are not always the heroes and IT and security teams are not the villains.

Machine Learning 92

Machine Learning Data Science Data Security Data Storage 92

Data Engineering Podcast

MARCH 27, 2022

Acryl Data provides DataHub as an easy to consume SaaS product which has been adopted by several companies. Signup for the SaaS product at dataengineeringpodcast.com/acryl RudderStack helps you build a customer data platform on your warehouse or data lake. Can you explain how the Privacera platform is architected?

Data Governance 130

Data Governance Government Cloud Building 130

Data Engineering Weekly

MAY 12, 2024

The system avoids individual race/ethnicity assignments and ensures data security & member control align with their Responsible AI Principles to provide equitable AI-driven experiences. Atlassian emphasizes how crucial it is for its data lake, utilized by over half of its employees, to support continuous growth and adaptability.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Edureka

FEBRUARY 7, 2023

They should also be proficient in programming languages such as Python , SQL , and Scala , and be familiar with big data technologies such as HDFS , Spark , and Hive. Learn programming languages: Azure Data Engineers should have a strong understanding of programming languages such as Python , SQL , and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Cloudera

MARCH 5, 2024

With built-in features like time travel, schema evolution, and streamlined data discovery, Iceberg empowers data teams to enhance data lake management while upholding data integrity.

Data Lake 91

Data Lake Data Storage Government Kafka 91

RandomTrees

SEPTEMBER 27, 2024

Since the launch during Build 2023, Microsoft has introduced several capabilities, such as: Shortcuts : Virtualize data in One Lake without moving or duplicating it; Shortcuts are available for One Lake, Azure Data Lake Storage Gen2, Amazon S3, and Microsoft Dataverse.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

Towards Data Science

OCTOBER 30, 2024

Introduction Storage accounts play a vital role in a medallion architecture for establishing an enterprise data lake. They act as a centralized repository, enabling seamless data exchange between producers and consumers. This setup empowers consumers to perform data science tasks and build machine learning (ML) models.

Accessibility 49

Accessibility Accessible Data Lake Data Science 49

Precisely

OCTOBER 3, 2024

Then, you’ll have a roadmap for success and the confidence to move your data securely and efficiently to the cloud. Companies once relied heavily on on-premises ETL and data lakes, but today, there’s a shift towards cloud-native data environments.

AWS 64

AWS Cloud Amazon Web Services Data Integration 64

Knowledge Hut

MARCH 28, 2024

Role Level Intermediate Responsibilities Design and develop data pipelines to ingest, process, and transform data. Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

NOVEMBER 17, 2023

They enhance data pipelines, transform data, and guarantee the accuracy, integrity, and compliance of the data. Their job entails Azure data engineer skills like using big data, databases, data lakes, and analytics to help firms make efficient data-driven decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

OCTOBER 6, 2023

Using Data Analytics to Learn abilities: The AWS Data Analytics certification is a great way to learn crucial data analysis abilities. It covers data gathering, cloud computing, data storage, processing, analysis, visualization, and data security.

AWS 52

AWS Certification Data Analytics IT 52

Knowledge Hut

DECEMBER 28, 2023

The certification path covers a comprehensive range of topics crucial for a successful career as an Azure Data Engineer: Data storage options like Azure Data Lake Storage and Azure SQL Data Warehouse Data processing solutions such as Azure Databricks and Azure Stream Analytics.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 26, 2023

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. Different techniques are employed to store various kinds of data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

JANUARY 24, 2024

Data is among your company’s most valuable commodities, but only if you know how to manage it. Cloud-based data governance In some ways, it would be a disservice to call cloud-based data governance a trend, but it’s undeniable that the rise of the cloud has had a marked impact on how we ensure data compliance and discovery.

Data Governance 52

Data Governance Government Data Lake Data Architecture 52

Grouparoo

OCTOBER 6, 2021

36 Give Data Products a Frontend with Latent Documentation Document more to help everyone 37 How Data Pipelines Evolve Build ELT at mid-range and move to data lakes when you need scale 38 How to Build Your Data Platform like a Product PM your data with business. 89 What Is Big Data?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

ProjectPro

OCTOBER 6, 2021

Data Lake using Google Cloud Platform What is a Data Lake? Data Lake is a centralized area or repository for data storage. Here, data is stored, processed, and managed in its original format and can also be synthesized based on needs.

Google Cloud 52

Google Cloud Project Data Lake Healthcare 52

Ascend.io

JANUARY 2, 2024

Destination and Data Sharing The final component of the data pipeline involves its destinations – the points where processed data is made available for analysis and utilization. Typically, this data lands in storage systems like data warehouses or data lakes, awaiting further analysis by analytics and data science teams.

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52

Monte Carlo

MARCH 3, 2021

When it comes to managing your company’s data, security is high on your list of priorities. Today, I’m thrilled to share that Monte Carlo has achieved SOC 2 Type I certification , an industry-leading standard for the security, availability, and confidentiality that our organization adopted. What does this mean for you?

Metadata 52

Metadata Data Lake Certification Business Intelligence 52

Monte Carlo

MAY 28, 2024

Data Transformation : Clean, format, and convert extracted data to ensure consistency and usability for both batch and real-time processing. Data Loading : Load transformed data into the target system, such as a data warehouse or data lake.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

DataKitchen

AUGUST 9, 2021

Instead of having a giant, unwieldy data lake , the data mesh breaks up the data and workflow assets into controllable and composable domains with inherent interdependencies. Domains are built from raw data and/or the output of other domains. What is in the domain – description of the data, e.g., data catalog URL.

Pharmaceutical 98

Pharmaceutical Raw Data Data Lake Data 98

Knowledge Hut

OCTOBER 30, 2023

Develop a long-term vision for Power BI implementation and data analytics. Data Architecture and Design: Lead the design and development of complex data architectures, including data warehouses, data lakes, and data marts. Define data architecture standards and best practices.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 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 Cleanse Data Governance 52

Cloudera

MAY 12, 2021

Enterprise Data Cloud: West Midlands Police — WMP public cloud data platform allows fast data insights and positive community interventions . Data Security & Governance: Merck KGaA, Darmstadt, Germany — Established a data governance framework with their data lake to discover, analyze, store, mine, and govern relevant data.

Food 71

Food Healthcare Medical Government 71

Snowflake

AUGUST 8, 2023

In 2022, the company realized that in order to monitor, analyze, counter, and prevent security threats, it needed both a modern data lake as well as a security information and event management (SIEM) solution. Then, they conducted insight mining by querying the data on different topics.

Data Lake 52

Data Lake Programming IT Building 52

Silectis

JANUARY 3, 2021

Data Integration Combining data from various, disparate sources into one unified view. Data Lake A storage repository where data is stored in its raw format. Data lakes allow for more flexibility than a more rigid data warehouse.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloudera

NOVEMBER 10, 2021

Sentry depended on Hue for visual policy management, and Cloudera Navigator for auditing data access in the CDH platform. . On the other hand, Apache Ranger provides a comprehensive security framework to enable, manage and monitor data security across the Hadoop platform.

Hadoop 82

Hadoop SQL Database Kafka 82

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

Knowledge Hut

APRIL 25, 2023

Snowflake also provides an SQL-based interface for querying and analyzing data, which makes it easy for data engineers to integrate with existing tools and applications. Key features: Instant elasticity Support for semi-structured data Built-in data security 5.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Edureka

JULY 4, 2024

Contact support for Strategy Coach to pick the right solution and rely on numerous configuration options and performance settings to have your data securely and efficiently analyzed and processed. Amazon EMR creates cloud-based clusters running in accordance with selected configuration scripts. Is AWS EMR serverless?

AWS 52

AWS Amazon Web Services Hadoop Big Data 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

Cloudera

MAY 9, 2023

New Data Lakehouse Enables Stronger Data Governance SoftBank needed to reduce the number of workloads on its existing platform and decided to adopt Cloudera to build a data lake capable of managing data more effectively. We believe these new data analysis capabilities will boost what we can offer to our customers.”

Data Security 95

Data Security Telecommunication Data Lake Data Governance 95

Meltano

FEBRUARY 22, 2023

One way of going about it is to use a tool that integrates with different databases, warehouses, data lakes, and so on. This leaves a gap for accidental or intentional data security incidents and breaches. To test them effectively, your testing framework should be able to support those standards.

Data 52

Data Transportation Data Workflow Data Lake 52

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. Organizations need to handle them in a transparent way because data hacking can happen at any point in the data-in-motion journey.

Banking 63

Banking Kafka Cloud Storage Government 63

Knowledge Hut

SEPTEMBER 21, 2023

Networking: Be sure to demonstrate your knowledge of Azure's virtual networks, subnets, and network security groups. Security and conformity: Your understanding of identity and access management (IAM), the Azure Security Center, and data security best practices should be highlighted.

Cloud 52

Cloud Amazon Web Services Cloud Computing AWS 52

Databand.ai

DECEMBER 13, 2022

Bob also hosts The Engineering Side of Data podcast , which is dedicated to discussions around data engineering and features a variety of guests from the data engineering space. His specialties include Microsoft SQL Server, Azure Databricks, Azure Data Factory, SQL Server Integration Services (SSIS), and Azure Data Lake.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52