Rockset

MARCH 18, 2024

That’s because successfully deploying an AI application requires retrieval augmented generation or “RAG” pipelines, processing real-time data streams, chunking data, generating embeddings, storing embeddings and running vector search. These additional inputs are referred to as metadata filtering.

Cloud 64

Cloud Building Metadata Kafka 64

phData: Data Engineering

NOVEMBER 1, 2024

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. This blog is a collection of those insights, but for the full trendbook, we recommend downloading the PDF.

Government 52

Government Data Governance Finance Metadata 52

Cloudera

MARCH 3, 2022

Data users in these enterprises don’t know how data is derived and lack confidence in whether it’s the right source to use. . If data access policies and lineage aren’t consistent across an organization’s private cloud and public clouds, gaps will exist in audit logs. From Bad to Worse.

Data Governance 100

Data Governance Government Metadata Medical 100

Cloudera

MAY 2, 2022

This is not just to implement specific governance rules — such as tagging, metadata management, access controls, or anonymization — but to prepare for the potential for rules to change in the future. . Designing an enterprise data architecture in anticipation of such regulatory changes is challenging.

Cloud 103

Cloud Government Healthcare Metadata 103

Snowflake

JULY 25, 2024

Search-quality tuning : Engineers and data scientists have to spend time evaluating models and parameter configurations to tune the retrieval and ranking components to their specific business use cases. More details on the research behind the Cortex Search retrieval stack will be shared on our Snowflake Engineering Blog.

Unstructured Data 52

Unstructured Data Metadata Government Database 52

Edureka

OCTOBER 9, 2024

AWS KMS simplifies creating and managing keys for data protection. It is one of the important components used by Amazon Web Services to securely keep data confidential and maintain its integrity across all of your AWS workloads. It is a service that allows users to efficiently create, manage, and control keys that protect data.

AWS 40

AWS Management Amazon Web Services Metadata 40

Cloudyard

DECEMBER 7, 2023

Read Time: 3 Minute, 0 Second In this blog post, we will delve into Snowflake’s Listing feature, which operates on the data sharing provider and consumer model.

Metadata 52

Metadata SQL Data Cloud 52

Cloudera

DECEMBER 16, 2022

Our open, interoperable platform is deployed easily in all data ecosystems, and includes unique security and governance capabilities. Many of our customers use multiple solutions—but want to consolidate data security, governance, lineage, and metadata management, so that they don’t have to work with multiple vendors.

Database 91

Database Cloud Systems Management 91

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. Type : server.

Data Governance 96

Data Governance Government Metadata Datasets 96

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. Availability: Make the right data available only to the right users.

Data Governance 85

Data Governance Government Metadata Data Security 85

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. HBL aims to double its banked customers by 2025. “ See other customers’ success here .

Banking 85

Banking Management Data Lake Professional Services 85

Cloudera

MARCH 31, 2021

Customers who have chosen Google Cloud as their cloud platform can now use CDP Public Cloud to create secure governed data lakes in their own cloud accounts and deliver security, compliance and metadata management across multiple compute clusters.

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Databand.ai

AUGUST 30, 2023

This requires implementing robust data integration tools and practices, such as data validation, data cleansing, and metadata management. These practices help ensure that the data being ingested is accurate, complete, and consistent across all sources.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

AltexSoft

FEBRUARY 11, 2023

If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

AUGUST 3, 2021

An organization, its partner, and customers, all benefit from enterprise-wide multi-function analytics only if data is protected, secured, and governed throughout. If data access policies and lineage aren’t consistent across an organization’s private cloud and public clouds, gaps will exist in audit logs.

Manufacturing 111

Manufacturing Retail Entertainment Government 111

Cloudera

NOVEMBER 5, 2020

The Data Lake cluster and SDX are managed by Cloudera Manager, and include the following services: Hive MetaStore (HMS) — table metadata. Apache Atlas — metadata management and governance: lineage, analytics, attributes. Cloudera Data Warehouse Security. Cloudera Data Warehouse (product documentation).

Cloud 74

Cloud Data Lake Data Warehouse Metadata 74

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

Cloudera

APRIL 21, 2022

MHS Genesis has to tackle an almost impossible job in moving and processing petabytes of data, securely and accurately. Its unified model has been described by users as the most cost-effective and fastest system to deploy while being easiest to secure and govern. . Shared catalog of data, metadata aids compliance requirements.

Electronics 87

Electronics Medical Hospitality Insurance 87

phData: Data Engineering

DECEMBER 16, 2021

How to set goals for your data catalog How to establish business drivers for your data catalog What value does a data catalog provide your business? In blog 2 , we’ll explore: Who are the users of a data catalog? In blog 2 , we’ll explore: Who are the users of a data catalog? What is Metadata?

Metadata 52

Metadata Datasets Data Accessible 52

Databand.ai

AUGUST 30, 2023

Integrating these principles with data operation-specific requirements creates a more agile atmosphere that supports faster development cycles while maintaining high quality standards. Organizations need to establish data governance policies, processes, and procedures, as well as assign roles and responsibilities for data governance.

Data Governance 40

Data Governance Data Cleanse Government Data Science 40

DataKitchen

AUGUST 9, 2021

The domain also includes code that acts upon the data, including tools, pipelines, and other artifacts that drive analytics execution. The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., ….

Pharmaceutical 98

Pharmaceutical Raw Data Data Lake Data 98

Cloudera

NOVEMBER 10, 2021

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. Sentry depended on Hue for visual policy management, and Cloudera Navigator for auditing data access in the CDH platform. . Please read this blog post on Ranger RMS to learn more about this new feature.

Hadoop 77

Hadoop SQL Database Kafka 77

Cloudera

MAY 17, 2021

In The Forrester WaveTM: Cloud Data Warehouse, Q1 2021, Cloudera was ranked as a strong performer, and forrester writes that “Cloudera Data Platform (CDP) supports a full data lifecycle ecosystem across hybrid and multiple clouds, delivering a shared data experience.”

Data Warehouse 90

Data Warehouse Cloud Government Metadata 90

Monte Carlo

MARCH 18, 2021

With more and more data being ingested and stored by your company than ever before and increased scrutiny around how this data is accessed and used, layering in any type of new third-party solution to your existing data infrastructure implicitly comes with its fair share of security concerns. Image courtesy of authors.

Architecture 52

Architecture Metadata Software Engineering Software Engineer 52

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. Sensitive data is encrypted. Auditing has been setup for data in the metastore. Encryption At Rest.

Architecture 111

Architecture Transportation Certification Government 111

Cloudera

APRIL 26, 2021

CDP is using Apache Ranger for data security management. If you wish to utilize Ranger to have a centralized security administration, HBase ACLs need to be migrated to policies. Table – Permissions granted at table scope apply to data or metadata within a given table. HBase Authorization.

Finance 95

Finance Accessible Accessibility Metadata 95

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: workload analysis and replication, migrating or bursting to cloud, data warehouse optimization, and more. SECURITY AND GOVERNANCE LEADERSHIP. Data for Enterprise AI: E xperian BIS — Improving the accuracy of commercial data aggregation with data science and machine learning.

Food 69

Food Healthcare Government Medical 69

Knowledge Hut

MAY 9, 2024

From Silicon Valley to Wall Street, from healthcare to e-commerce, data scientists are highly valued and well-compensated in various industries and sectors. According to Glassdoor, the average annual pay of a data scientist is USD 126,683. What is Data Science? However, with appropriate skills, it may go as high as $108,000.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Cloudera

OCTOBER 5, 2021

Ideally the data admin would set a single table policy, and the corresponding file access policies would automatically be kept in sync along with access audits, referring to the table policy that enforced it. In this blog post I will introduce a new feature that provides this behavior called the Ranger Resource Mapping Service (RMS).

Hadoop 96

Hadoop SQL Database Accessible 96

Netflix Tech

MARCH 5, 2019

Asset Inventory How can we develop a dimensional data model representing relationships between apps, clusters, regions and other metadata including AMI / software stack to help with availability, resiliency and fleet management? Can we develop learning models to enrich metadata with application vulnerabilities and risk scores?

Cloud 73

Cloud Building Amazon Web Services Metadata 73

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

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 104

Cloud Data Warehouse Banking Data 104

Cloudera

APRIL 23, 2021

However, any user with HDFS admin or root access on cluster nodes would be able to impersonate the “hdfs” user and access sensitive data in clear text. HDFS Encryption prevents access to clear text data. Data in the file is encrypted with DEK. DEK is encrypted using EZK to give rise to encrypted data encryption key (EDEK).

MySQL 73

MySQL Java Bytes Data 73

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

Cloudera

FEBRUARY 11, 2019

Covering just one type of analytics and integrated with one or two other applications, organizations are still faced with a patchwork of siloed systems that each carry their own data, metadata, security, and governance. Doing so without restricting the freedom data scientists need to do their job is crucial.

Government 57

Government Data Governance Data Science Machine Learning 57

Cloudera

JANUARY 22, 2019

Data catalogs are essential for sharing knowledge about distributed data, and for improving data quality, trust, and governance. Cloudera’s shared data catalog defines and preserves structure and business context of distributed, heterogeneous data across the analytics life cycle enabling data consumers to extract business value.

Big Data 44

Big Data NoSQL Hadoop Data Lake 44

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52