Cloudera

OCTOBER 26, 2020

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Balancing security and useability.

Data Security 118

Data Security IT Unstructured Data Government 118

Data Engineering Podcast

JUNE 5, 2022

Summary The best way to make sure that you don’t leak sensitive data is to never have it in the first place. The team at Skyflow decided that the second best way is to build a storage system dedicated to securely managing your sensitive information and making it easy to integrate with your applications and data systems.

Data Security 100

Data Security Metadata MongoDB Scala 100

U-Next

SEPTEMBER 22, 2022

The increasing volume of data exchanged between businesses and cloud service providers creates risk factors for purposeful and unintentional breaches of private information by unreliable third parties. Most cloud service data breaches are caused by criminal activities, insider threats, malware, weak credentials, and human mistakes. .

Cloud Computing 40

Cloud Computing Data Security Cloud Cloud Storage 40

Christophe Blefari

APRIL 19, 2024

easy ( credits ) Hey, new Friday, new Data News. How we build Slack AI to be secure and private — How Slack uses VPC and Amazon SageMaker with your data secured and private. This week, I feel like the selection is smaller than usual, so enjoy the links. But don't worry it gonna be out soon.

MySQL 130

MySQL Data Datasets SQL 130

Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Towards Data Science

DECEMBER 15, 2023

For a data scientist, there’s no such thing as too much data. Photo by Trnava University on Unsplash Data Science vs Security/IT: A Battle for the Ages Acquiring and keeping data is the focus of a huge amount of our mental energy as data scientists. If you ask a data scientist “Can we solve this problem?”

Machine Learning 92

Machine Learning Data Science Data Security Data Storage 92

Snowflake

FEBRUARY 5, 2024

And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data. One potential source is data sharing.

Unstructured Data 100

Unstructured Data Banking Government Insurance 100

Christophe Blefari

JUNE 16, 2023

I'm now under the Berlin rain with 20° When I write in these conditions I feel like a tortured author writing a depressing novel while actually today I'll speak about the AI Act, Python, SQL and data platforms. Mainly he unit tests macros (the logic) with his framework and test data with soda and dbt contracts.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Ascend.io

MAY 7, 2024

to bring its cutting-edge automation platform that revolutionizes modern data engineering. .” to bring its cutting-edge automation platform that revolutionizes modern data engineering. Enhanced Data Security : With rising concerns over data breaches and compliance pressures, the combined expertise of Wizeline and Ascend.io

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

Snowflake

DECEMBER 20, 2023

Achieving 20% year-over-year growth with a 98% renewal rate (as of Q1 2023) requires a data-driven understanding of the customer journey. That’s a big reason why nearly half of ServiceNow’s employees—over 11,000 monthly active users—depend on analytics powered by its enterprise data platform (EDP).

IT 68

IT Data Government Cloud 68

Knowledge Hut

APRIL 25, 2024

One of the industries with the quickest growth rates is big data. It refers to gathering and processing sizable amounts of data to produce insights that may be used by an organization to improve its various facets. You must become familiar with the fundamental elements of big data to comprehend it effectively.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Snowflake

MARCH 18, 2024

This time it’s all about ensuring that the data and the platform where it’s processed are ready for the new AI models. But there’s still a long way to go in an environment where the volume, velocity and complexity of data and data types is constantly increasing. And it’s not just any type of data. petabytes daily in 2021.

Unstructured Data 87

Unstructured Data Government Data Pipeline Cloud 87

Snowflake

SEPTEMBER 11, 2023

Data privacy regulations are sweeping across the globe, with some 71% of countries worldwide adopting data protection and privacy legislation. The European Union’s General Data Protection Regulation (GDPR) , one of the more well-known and far-reaching of these privacy regulations, went into effect on May 25, 2018.

Cloud 78

Cloud Electronics Government Data Governance 78

Data Engineering Weekly

MAY 12, 2024

This year, we added some additional features to bring the data community together. Gloss Genius: How We Migrated From dbt Cloud and Scaled Our Data Development Gloss Genius describes its migration journey from dbt cloud to Airflow + custom Github actions. At scale, it becomes impossible to enrich the data assets manually.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

MAY 23, 2024

Do you become a data scientist or Full stack developer? In this blog post, we will help you to make that decision by highlighting the key differences between data science and Full stack development by comparing data scientist vs full stack developer. It is the combination of statistics, algorithms and technology to analyze data.

Computer Science 98

Computer Science Java Data Science Certification 98

Snowflake

MARCH 19, 2024

A company’s data strategy is always in motion. Some emerging approaches may be seen in our newly released Snowflake Data Trends 2024 , looking at how users in the Data Cloud are working with their data. For the report, we focused on two broad aspects of data strategy. The most marked finding was around governance.

Data Governance 118

Data Governance Government Unstructured Data Programming Language 118

Jesse Anderson

NOVEMBER 15, 2022

My guest this week is Kulani Likotsi , the Head of Data Management and Data Governance at one of the four biggest banks in Africa. She’s had a rising career journey going from an analyst, to a Business Intelligence developer, to the data warehouse team, to the data governance team. Working with the business is key, too.

Data Governance 130

Data Governance Government Banking Business Intelligence 130

Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. Ensuring all relevant data inputs are accounted for is crucial for a comprehensive ingestion process.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture and its Required Capabilities. Components of a Data Mesh.

Architecture 124

Architecture Metadata Government Kafka 124

Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

Snowflake

JANUARY 18, 2024

Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.

Manufacturing 88

Manufacturing Unstructured Data Cloud Architecture 88

Databand.ai

AUGUST 30, 2023

Data Consistency vs Data Integrity: Similarities and Differences Joseph Arnold August 30, 2023 What Is Data Consistency? Data consistency refers to the state of data in which all copies or instances are the same across all systems and databases. Data consistency is essential for various reasons.

Data Integration 52

Data Integration Data Cleanse Data Validation High Quality Data 52

Data Engineering Podcast

FEBRUARY 6, 2022

Summary There are many dimensions to the work of protecting the privacy of users in our data. When you need to share a data set with other teams, departments, or businesses then it is of utmost importance that you eliminate or obfuscate personal information. The only thing worse than having bad data is not knowing that you have it.

Data Pipeline 100

Data Pipeline Data Metadata Software Engineer 100

Cloudera

OCTOBER 18, 2021

We are thrilled to announce the finalists of the 2021 Data Impact Awards. This year’s entrants have excelled at demonstrating how innovative data solutions can help solve real-time challenges and positively impact people around the world. . Data for Enterprise AI . Read more about the Data for Enterprise AI category here .

Banking 109

Banking Transportation Government Finance 109

ThoughtSpot

JUNE 23, 2023

During Beyond 2023, we officially launched ThoughtSpot Sage , our new search experience that combines the power of GPT’s natural language processing and generative AI capabilities with the accuracy and security of our patented self-service analytics platform.

Cloud 79

Cloud Programming Language Government Data Security 79

Snowflake

MAY 14, 2024

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.”

Pharmaceutical 78

Pharmaceutical IT Hospitality Data 78

Snowflake

JANUARY 25, 2024

It’s essential for organizations to leverage vast amounts of structured and unstructured data for effective generative AI (gen AI) solutions that deliver a clear return on investment. The healthcare industry alone has approximately 30% of the world’s data volume. Below are a few of their top predictions for 2024.

Healthcare 89

Healthcare Hospitality Electronics Medical 89

Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. Struggling to access and collect, oftentimes disparate and siloed, data across environments that are required to power AI, many organizations are unable to achieve the business insight and value they had hoped for.

Data Lake 87

Data Lake Data Storage Government Kafka 87

Precisely

MAY 13, 2024

Key Takeaways: Data integration is vital for real-time data delivery across diverse cloud models and applications, and for leveraging technologies like generative AI. The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Data Engineering Podcast

MARCH 27, 2022

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor.

Data Governance 130

Data Governance Government Cloud Building 130

Knowledge Hut

APRIL 23, 2024

In today's data-driven world, the volume and variety of information are growing unprecedentedly. As organizations strive to gain valuable insights and make informed decisions, two contrasting approaches to data analysis have emerged, Big Data vs Small Data.

Big Data 52

Big Data Datasets Data Analysis Media 52

Towards Data Science

DECEMBER 4, 2023

A Glossary with Use Cases for First-Timers in Data Engineering An happy Data Engineer at work Are you a data engineering rookie interested in knowing more about modern data infrastructures? In this guide Data Engineering meets Formula 1. A robust data infrastructure is a must-have to compete in the F1 business.

Data Engineering 84

Data Engineering Data Engineer Engineering Data Lake 84

Knowledge Hut

APRIL 23, 2024

With the advent of technology and the arrival of modern communications systems, computer science professionals worldwide realized big data size and value. As big data evolves and unravels more technology secrets, it might help users achieve ambitious targets. Top 10 Disadvantages of Big Data 1.

Big Data 52

Big Data Media Government Big Data Skills 52

Striim

FEBRUARY 19, 2024

Organizations struggle with managing vast amounts of complex data. Traditional methods often fall short, leading to data silos and security vulnerabilities. Innovations like Data Mesh and Data Fabric have emerged as solutions, offering new ways to manage data effectively and derive actionable insights.

Data Integration 52

Data Integration Government Data Data Governance 52

Cloudera

SEPTEMBER 17, 2020

Announcing the finalists of the Data Impact Awards is always a highlight in our annual Cloudera calendar, and this year is no different. The 2020 entrants have shown incredible data-driven innovation, problem-solving ability and have proven real-world impact. . Data Champions . Data for Enterprise AI. Data for Good.

Banking 95

Banking Medical Government Data Security 95

François Nguyen

MARCH 7, 2021

I discovered Zhamak Dehghani’s first article about Data Mesh in August 2020. I will try to answer to this question “Could you illustrate your journey towards a Data Mesh ?” Solving the right problem Let’s say that your starting point is having multiple data teams and multiple data platforms.

Government 130

Government Data Governance Data Metadata 130