Snowflake

SEPTEMBER 11, 2023

Among the many reasons Snowflake is integral to an organization’s data strategy is the out-of-the-box security-related features. In today’s rapidly changing regulatory and compliance landscape, use of these features allows customers to keep critical data secure and monitor that data for auditing purposes.

Cloud 108

Cloud Electronics Government Data Governance 108

Cloudera

JUNE 6, 2024

While these are great proof points to demonstrate how business value can be driven by AI/ML, this was only made possible with trusted data. Trusted Data is the Foundation of AI According to a Cloudera survey, Data Architecture and Strategy in the AI Era , 57% of APAC organizations are at least early-stage adopters of AI.

Banking 85

Banking Data Lake Finance Data Governance 85

Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. Federated computational governance: Whether manual or automated, global data governance and security measures ensure protection and compliance throughout domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 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

Databand.ai

AUGUST 30, 2023

DataOps practices help organizations establish robust data governance policies and procedures, ensuring that data is consistently validated, cleansed, and transformed to meet the needs of various stakeholders. One key aspect of data governance is data quality management.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Knowledge Hut

MARCH 28, 2024

They work together with stakeholders to get business requirements and develop scalable and efficient data architectures. Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

MARCH 5, 2024

Things like in-place schema evolution and ACID transactions on the data lakehouse are critical pieces for organizations as they push to achieve regulatory compliance and adhere to policies like the General Data Protection Regulation (GDPR). Available for cloud and now also for the data center.

Data Lake 89

Data Lake Data Storage Government Kafka 89

Christophe Blefari

JUNE 16, 2023

Change Data Capture (CDC) with PostgreSQL and ClickHouse — This is a nice vendor post about CDC with Kafka as movement layer (using Debezium). The post explains well the architecture you need to make it work. Privitar will bring "data security" stuff. This is where you should use pre-commit and SQLFluff.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Precisely

JANUARY 27, 2023

Data plays a central role here. Powerful customer engagement hinges on high levels of data integrity, effective data governance programs, and a clear vision of how CX can be a differentiator. The challenge is that many business leaders still struggle to turn their data into tangible improvements in CX.

High Quality Data 105

High Quality Data Data Governance Government Banking 105

Cloudera

NOVEMBER 1, 2022

Translation: Government agencies — especially those under the Department of Defense (DoD) — have use cases that require data storage and analytic workloads to be maintained on premises to retain absolute control of data security, privacy, and cost predictability. . It’s here where the private cloud delivers.

Cloud 91

Cloud Government Cloud Computing Data Architecture 91

Snowflake

MARCH 5, 2024

While every organization should keep both options on the table, to quickly deliver value, the key is to identify and deploy use cases that can deliver value using prompt engineering and retrieval augmented generation (RAG), as these can be fast and cost-effective approaches to get value from enterprise data with LLMs.

Government 121

Government AWS Data Preparation Data Governance 121

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Data Cleanse 68

Data Cleanse Data Governance Unstructured Data Cloud Storage 68

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains. Open source solutions reduce risk.

Manufacturing 111

Manufacturing Retail Government Entertainment 111

Databand.ai

JULY 19, 2023

Learn more in our detailed guide to the data ingestion process (coming soon) Best Practices for Effective Data Ingestion Defining Clear Data Governance Policies Data governance involves the overall management of data availability, usability, integrity, and security.

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Snowflake

DECEMBER 5, 2023

This lets them leverage the familiar development interface of a notebook while directing complex data preparation and feature engineering steps to run in Snowflake (rather than having to copy and manage copies of data inside their notebook instance).

AWS 124

AWS Amazon Web Services Government Cloud Computing 124

Knowledge Hut

JANUARY 3, 2024

Some of the benefits introduced by cloud solutions include data security, flexibility, efficiency, and high performance. However, the Cloud is not perfect and has its own set of drawbacks when it comes to data management and privacy concerns. Thus, there are various benefits and challenges of cloud computing.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Government 52

Knowledge Hut

MARCH 26, 2024

Solutions Architect Careers: Overview Here's an overview of the demand and benefits of a career in Solutions Architecture: A. Cybersecurity Concerns: With the rise in cyber threats, organizations are prioritizing security in their IT architectures. Proficiency in relevant technologies, frameworks, and architectural patterns.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Monte Carlo

JUNE 2, 2024

A venn diagram comparing common responsibilities of data infrastructure engineers and data science engineers. For example, Data Infrastructure Engineers use their programming skills to lead system architecture and data engineering efforts.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

A venn diagram comparing common responsibilities of data infrastructure engineers and data science engineers. For example, Data Infrastructure Engineers use their programming skills to lead system architecture and data engineering efforts.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Precisely

JANUARY 22, 2024

The challenge is that many businesses struggle to turn their data into usable assets for CX applications. According to Corinium, only 37% of organizations have a well-developed enterprise data architecture that enables high-quality, data-driven, and personalized CX. It’s not that companies lack data about customers.

Data Integration 59

Data Integration High Quality Data Machine Learning Data Governance 59

Knowledge Hut

APRIL 23, 2024

Privacy and Security Concerns The chances of data in large volumes being vulnerable to security threats, data breaches, and cyberattacks are quite high. Unless it is safeguarded via modern tech means, data security is a very real threat. Is it suitable or does it need modifications?

Big Data 52

Big Data Media Government Big Data Skills 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 89

Data Governance Government Metadata Data Security 89

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. Sentry to Ranger – A few behavioral changes.

Hadoop 80

Hadoop SQL Database Kafka 80

Knowledge Hut

JANUARY 3, 2024

They work closely with stakeholders to understand business requirements and translate them into scalable, secure, cost-effective Azure architectures. Using Azure services, they create, manage, and optimize data pipelines, databases, and data warehouses.

Cloud Computing 52

Cloud Computing Recruitment Computer Science Education 52

Monte Carlo

APRIL 24, 2023

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. What is data governance? billion in 2020 to $5.28

Data Governance 52

Data Governance Government Programming Healthcare 52

Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Cloudera

AUGUST 21, 2020

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. The governance aspect is perhaps even more important and businesses need to be able to understand where the data comes from.

Banking 62

Banking Kafka Cloud Storage Government 62

Databand.ai

DECEMBER 13, 2022

Follow Joseph on LinkedIn 2) Charles Mendelson Associate Data Engineer at PitchBook Data Charles is a skilled data engineer focused on telling stories with data and building tools to empower others to do the same, all in the pursuit of guiding a variety of audiences and stakeholders to make meaningful decisions.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Cloudera

DECEMBER 20, 2021

Judges were looking at how organizations tackled modeling & reduced business risk, prevented fraud, met regulatory compliance, established fully governed data marketplaces, and more. . The platform is centralizing the data, data management & governance, and building custom controls for data ingestion into the system.

Government 93

Government Data Security Banking Metadata 93

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

ProjectPro

FEBRUARY 1, 2017

Veikkaus has developed a modern data architecture by pulling data from both digital and offline betting channels. ii) AtScale survey reveals that more than half of the organizations having big data solutions living on the cloud today that is likely to increase to 3/4th. The future of Hadoop is cloudy.

Hadoop 52

Hadoop MongoDB Big Data Kafka 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 93

Data Security Telecommunication Data Lake Data Governance 93

Cloudera

JANUARY 21, 2022

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. Auditing has been setup for data in the metastore. Security Architecture Improvements.

Architecture 114

Architecture Transportation Certification Government 114

Cloudera

NOVEMBER 12, 2020

Traditional on-premise architectures, which create a fixed, finite set of resources, forces every business request for new insight to be a crazy resource balancing act, coupled with long wait times, or a straight-up no, it cannot be done. How Burst to Cloud can solve your data center pressure. A tale of two organizations.

Cloud 105

Cloud Data Warehouse Banking Data 105

Monte Carlo

FEBRUARY 6, 2023

A database that’s optimized for the cloud will allow you to get the most out of your new data warehouse. Snowflake is an excellent example of a database that’s been optimized to leverage the benefits of a cloud-architecture. A few other factors to consider when designing a new data warehouse include: The location of your users.

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52