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. Available for cloud and now also for the data center.

Data Lake 86

Data Lake Data Storage Government Kafka 86

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

Databand.ai

AUGUST 30, 2023

Data silos: Legacy architectures often result in data being stored and processed in siloed environments, which can limit collaboration and hinder the ability to generate comprehensive insights. Data storage platforms can include traditional relational databases, NoSQL databases, data lakes, or cloud-based storage services.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Knowledge Hut

OCTOBER 30, 2023

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations. Define data architecture standards and best practices.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 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

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 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 66

Food Healthcare Government Medical 66

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 74

Hadoop SQL Database Kafka 74

Knowledge Hut

SEPTEMBER 21, 2023

At the heart of it, an Azure Data Engineer is a data professional who creates and maintains complex systems to collect, store, and analyze big data for organizations. We are the architects of data, ensuring its integrity, security, and accessibility.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 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

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. When that’s the case, it’s essential to have a strategy to clean the data up after running the tests to ensure that there are no security risks related to that data.

Data 52

Data Transportation Data Workflow Data Lake 52

Cloudera

AUGUST 4, 2021

With hackers now working overtime to expose business data or implant ransomware processes, data security is largely IT managers’ top priority. And if data security tops IT concerns, data governance should be their second priority. Effective data governance must extend beyond the IT organization.

Data Governance 83

Data Governance Government Metadata Data Security 83

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. Security needs to be treated at a mission-critical level and data security also needs to be a core part of a business’s strategic approach.

Banking 60

Banking Kafka Cloud Storage Government 60

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. He is constantly seeking out knowledge and being excited by the challenge of learning something new in the data science space.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Cloudera

MAY 9, 2023

Cloudera Data Platform (CDP) will enable SoftBank to increase resources flexibly as needed and adjust resources to meet business needs. In addition, it has functions to review and update user access controls regularly as part of data governance.

Data Security 87

Data Security Telecommunication Data Lake Data Governance 87

Cloudera

NOVEMBER 12, 2020

Typically, when we talk about data warehousing at an enterprise level on the cloud, one of the biggest concerns is that moving workloads from on-premises to the cloud is not seamless and opens up new risks for data safety and security. How Burst to Cloud can solve your data center pressure. Key areas of concern are: .

Cloud 102

Cloud Data Warehouse Banking Data 102

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

Towards Data Science

DECEMBER 4, 2023

A robust data infrastructure is a must-have to compete in the F1 business. We’ll build a data architecture to support our racing team starting from the three canonical layers : Data Lake, Data Warehouse, and Data Mart. Data Layers can be often combined together, sometimes in a single platform.

Data Engineering 87

Data Engineering Data Engineer Engineering Data Lake 87

Snowflake

JANUARY 22, 2024

Fidelity’s data scientists use the AI/ML-enabled Enterprise Analytics Platform to process a large volume of structured and unstructured data for deeper insights and better decision-making. In 2020, Fidelity kicked off its digital transformation and established an Enterprise Data Lake (EDL) along with Data Labs.

Engineering 62

Engineering Data Lake Unstructured Data Metadata 62

Databand.ai

JULY 19, 2023

Often, the extraction process includes checks and balances to verify the accuracy and completeness of the extracted data. The Load Phase After the data is extracted, it’s loaded into a data storage system in the load phase. The data is loaded as-is, without any transformation.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Data warehouse vs data lake vs data lakehouse: What’s the difference.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Cloudera

NOVEMBER 18, 2020

The Data-Driven Insights project they undertook, is a cutting edge initiative aimed at radically improving the police force’s data and analytics capability. Data Security & Governance. This enabled Merck KGaA to control and maintain secure data access, and greatly increase business agility for multiple users.

Medical 119

Medical Banking Telecommunication Government 119

AltexSoft

NOVEMBER 23, 2021

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering. Enhanced data security and governance.

Process 69

Process Data Lake Metadata Data Warehouse 69

Knowledge Hut

NOVEMBER 7, 2023

You can swiftly provision infrastructure services like computation, storage, and databases, as well as machine learning, the internet of things, data lakes and analytics, and much more. " Instead of relying on nearby hard drives and personal data centers, it requires storing and accessing data on distant servers.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

Picnic Engineering

JULY 26, 2022

Data Mesh, or Hub-and-Spoke? and other reflections on building data governance. Still, it compromises by accepting multiple versions of the same truth of multiple models, and risks a weak central governance function detached from the business. The most important thing for a successful analytics strategy.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

NOVEMBER 15, 2021

It offers a fault-tolerant storage engine that prioritizes data security. Delta Lake Source: Github Delta Lake is an open-source project that allows you to create a Lakehouse design based on data lakes. It even has a simple web administration panel that is supplied directly from CouchDB!

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 31, 2022

It also offers a unique architecture that allows users to quickly build tables and begin querying data without administrative or DBA involvement. Snowflake is a cloud-based data platform that provides excellent manageability regarding data warehousing, data lakes, data analytics, etc. What Does Snowflake Do?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Snowflake

DECEMBER 11, 2023

Snowflake will be able to handle new types of critical data—including data used by law enforcement, financial systems, aeronautics, emergency services and healthcare—to help our government customers securely break down data silos, improve system resiliency and better serve citizens through data-driven decision-making.

AWS 86

AWS Hospitality Education Government 86

AltexSoft

MAY 12, 2023

Unstructured data , on the other hand, is unpredictable and has no fixed schema, making it more challenging to analyze. Without a fixed schema, the data can vary in structure and organization. That’s why there must be some sort of data replication, backup strategies, and failover mechanisms. Data security and privacy.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Architecture 122

Architecture Metadata Government Kafka 122

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64

Snowflake

MARCH 23, 2023

In addition to end-to-end encryption for data in transit and at rest, we offer Tri-Secret Secure , which provides the ability to compose the account master key (used to encrypt all keys in hierarchy) from a combination of a Snowflake-maintained key and a customer-managed key. Please see this full list of our compliance certifications.

Government 67

Government Data Governance Certification Programming 67