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. Projections show that the data governance market will expand from $1.81

Data Governance 52

Data Governance Government Programming Healthcare 52

Monte Carlo

OCTOBER 31, 2024

In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development. In a growing organization, data drift is more frequent, and AI data engineers need to be cognizant if it happens and fix it right away.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Cloudera

DECEMBER 17, 2024

Carriers need tools that enable them to monitor performance, optimize workload distribution, and ensure data governance across both on-premises and cloud environments. However, implementing AI models requires significant computing power and real-time data processing, which cannot be achieved without modern, scalable data platforms.

Building 62

Building Telecommunication Data Architecture Architecture 62

Ascend.io

DECEMBER 4, 2024

Examples include “reduce data processing time by 30%” or “minimize manual data entry errors by 50%.” It aims to streamline and automate data workflows, enhance collaboration and improve the agility of data teams. How effective are your current data workflows?

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Data Engineering Podcast

JUNE 9, 2024

Summary Streaming data processing enables new categories of data products and analytics. Unfortunately, reasoning about stream processing engines is complex and lacks sufficient tooling. Support Data Engineering Podcast Summary Streaming data processing enables new categories of data products and analytics.

Process 147

Process Data Lake High Quality Data Machine Learning 147

Ascend.io

DECEMBER 4, 2024

Examples include “reduce data processing time by 30%” or “minimize manual data entry errors by 50%.” It aims to streamline and automate data workflows, enhance collaboration and improve the agility of data teams. How effective are your current data workflows?

Data Pipeline 52

Data Pipeline Metadata Data Workflow Data 52

Snowflake

SEPTEMBER 11, 2023

I’d also like to offer some perspective on how best to handle issues such as a person’s right to rectification, data portability, data deletion and restriction of data processing. These highlighted sections are of particular importance because sections will be enforced as soon as September 22, 2023. 1, Section 3.2,

Cloud 108

Cloud Electronics Government Data Governance 108

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

Netflix Tech

FEBRUARY 14, 2025

The Flink jobs sink is equipped with a data mesh connector, as detailed in our Data Mesh platform which has two outputs: Kafka and Iceberg. This approach will enhance efficiency, reduce manual oversight, and ensure a higher standard of data integrity.

Kafka 66

Kafka Datasets Metadata Utilities 66

Snowflake

JULY 18, 2023

Democratized data compliance for everyone that needs it The company’s target customers are generally compliance professionals whose roles don’t naturally involve the deep-dive data processing and manipulation skills necessary for dealing with complex data sets. The Data Cloud unlocks massive go-to-market opportunities.”

Data Process 52

Data Process Process Data Lake Data Ingestion 52

Striim

JANUARY 17, 2025

The Future of Enterprise AI: Moving from Vision to Reality Successfully integrating GenAI with real-time data streaming requires strategic investments across infrastructure, data governance, and AI model development. Here are the critical steps enterprises should take to turn this vision into a tangible, scalable solution.

Healthcare 52

Healthcare Google Cloud Government Data Validation 52

The Modern Data Company

FEBRUARY 15, 2023

Limited resources: Data management has always been resource intensive, but not all organizations can maintain a full data team. Without suitable resources for company-wide data management, it’s easier to fall behind. Find out how DataOS can help you chip away at your data debt.

Government 98

Government Data Governance Raw Data Data 98

DataKitchen

APRIL 13, 2021

Process Analytics. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Reflow — A system for incremental data processing in the cloud.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Snowflake

JULY 31, 2024

They also cannot easily collect, process or share multimodal health data, which encompasses a wide variety of data types — including clinical notes, protein sequences, chemical compound information, medical imaging and patient data. Critically, legacy systems can also create serious data privacy and security issues.

Medical 98

Medical Healthcare Insurance Hospitality 98

Snowflake

JANUARY 23, 2024

Behind the scenes, Snowpark ML parallelizes data processing operations by taking advantage of Snowflake’s scalable computing platform. ” In addition to customers, many partners have seen the benefits of Snowpark ML and have built integrations with it, including Astronomer , Dataiku , Fosfor , Hex and Infostrux.

Machine Learning 138

Machine Learning Metadata Python Telecommunication 138

Snowflake

NOVEMBER 29, 2023

While the former can be solved by tokenization strategies provided by external vendors, the latter mandates the need for patient-level data enrichment to be performed with sufficient guardrails to protect patient privacy, with an emphasis on auditability and lineage tracking. A conceptual architecture illustrating this is shown in Figure 3.

Metadata 117

Metadata Healthcare Medical Data Storage 117

Christophe Blefari

SEPTEMBER 15, 2023

💡 Additional big tech stuff to check: real-time ML training at Etsy and last mile data processing with Ray at Pinterest. Collibra acquires SQL data notebook Husprey. It will become a nice product in the Collibra data governance ecosystem. See you next week ❤️

Data Warehouse 130

Data Warehouse Data SQL Python 130

Cloudera

OCTOBER 7, 2021

A data mesh can be defined as a collection of “nodes”, typically referred to as Data Products, each of which can be uniquely identified using four key descriptive properties: . Infrastructure Environment: The infrastructure (including private cloud, public cloud or a combination of both) that hosts application logic and data.

Architecture 124

Architecture Metadata Kafka Government 124

Cloudera

FEBRUARY 15, 2024

By leveraging cutting-edge technology and an efficient framework for managing, analyzing, and securing data, financial institutions can streamline operations and enhance their ability to meet compliance requirements efficiently, while maintaining a strong focus on risk management.

Insurance 88

Insurance Banking Data Architecture Data Ingestion 88

Precisely

AUGUST 3, 2023

And they cite improved quality of data analytics and insights (57%) as the leading added value realized from data governance programs. The value of having a data strategy While it may seem apparent, survey data confirms that having a data strategy in place positively influences the outcomes of data initiatives.

Data Integration 98

Data Integration Data Programming Programming Data 98

Data Engineering Podcast

JUNE 11, 2021

In this episode Lak Lakshmanan enumerates the variety of services that are available for building your various data processing and analytical systems. He shares some of the common patterns for building pipelines to power business intelligence dashboards, machine learning applications, and data warehouses.

Google Cloud 100

Google Cloud Cloud Big Data Ecosystem Data Warehouse 100

Cloudera

MAY 28, 2024

This form of architecture can handle data in all forms—structured, semi-structured, unstructured—blending capabilities from data warehouses and data lakes into data lakehouses.

Data Architecture 88

Data Architecture Architecture Data Lake Data Warehouse 88

Cloudera

JULY 9, 2019

With big data, often the cart is put before the horse. But while cloud plays a significant role in infrastructure, storage, data capture, and data processing in today’s business environment, each organization needs to clearly define its business needs first.

Big Data 78

Big Data Data Management Management Cloud 78

The Modern Data Company

APRIL 12, 2023

It enables: Data integration: DataOS provides a centralized platform for integrating and managing disparate data gathered from multiple sources, such as EHRs, imaging systems, lab results, and demographic data. Data governance: DataOS offers native data governance and management based on attribute-based access controls.

Healthcare 98

Healthcare Hospitality Medical Electronics 98

Snowflake

JUNE 6, 2024

A look inside Snowflake Notebooks: A familiar notebook interface, integrated within Snowflake’s secure, scalable platform Keep all your data and development workflows within Snowflake’s security boundary, minimizing the need for data movement. Notebook usage follows the same consumption-based model as Snowflake’s compute engine.

SQL 115

SQL Python Machine Learning Data Workflow 115

Jesse Anderson

AUGUST 28, 2024

The biggest and most ideal use of LLMs for data teams, data processing, is only used by 12% of teams and behind an API endpoint for 14%. Data Strategy & Processes: Several weaknesses revolved around data governance, data ownership, data lineage, data quality, and establishing data management practices (DataOps).

Consulting 147

Consulting Data Big Data Project 147

Snowflake

JUNE 4, 2024

Finally, Tasks Backfill (PrPr) automates historical data processing within Task Graphs. Additionally, Dynamic Tables are a new table type that you can use at every stage of your processing pipeline. Follow this quickstart to test-drive Dynamic Tables yourself. Snowflake integrates with GitHub, GitLab, Azure DevOps and Bitbucket.

Data Pipeline 122

Data Pipeline Python SQL Database 122

Monte Carlo

JANUARY 21, 2025

Data Governance & Ethics : Understand emerging data regulations and ethical frameworks that shape how organizations collect, store, and use data. Advanced Analytics & AI : See how the latest machine learning and artificial intelligence solutions are transforming industries.

Data Analytics 52

Data Analytics Pipeline-centric Food Data Lake 52

Cloudera

NOVEMBER 18, 2020

The Advanced Analytics team supporting the businesses of Merck KGaA, Darmstadt, Germany was able to establish a data governance framework within its enterprise data lake. This enabled Merck KGaA to control and maintain secure data access, and greatly increase business agility for multiple users.

Medical 123

Medical Banking Telecommunication Government 123

Databand.ai

JULY 19, 2023

Data lineage tools are not a new concept. However, their importance has grown significantly in recent years due to the increasing complexity of data architectures and the growing need for data governance and compliance. In this article: Why Are Data Lineage Tools Important?

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Data Engineering Weekly

SEPTEMBER 24, 2023

The customer data that is being processed by AI and for what purpose? link] Sponsored: Re: Govern Data governance has often been misunderstood as a controlling bureaucratic process. But at its core, data governance isn’t about control. era with automation, collaboration, and AI.

Data Engineering 68

Data Engineering Data Engineer Engineering Kafka 68

Data Engineering Podcast

OCTOBER 12, 2020

Are you bogged down by having to manually manage data access controls, repeatedly move and copy data, and create audit reports to prove compliance? Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud.

Business Intelligence 100

Business Intelligence BI Consulting Data Ingestion 100

AltexSoft

MARCH 14, 2023

As the volume and complexity of data continue to grow, organizations seek faster, more efficient, and cost-effective ways to manage and analyze data. In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Knowledge Hut

DECEMBER 22, 2023

Additionally, the data may be structured or unstructured, which traditional data processing techniques find difficult to handle. These large data sets are referred to as "Big Data." Non-Technical Data Science Skills 1. " Spark, Hadoop, and other frameworks are used to manage large datasets.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Snowflake

SEPTEMBER 21, 2023

Running an entire app within the brand’s Snowflake account For many brands, sharing access to data with third parties, even if the data resides within their data platform, presents security and data governance concerns that can take months to overcome or prevent an organization from adopting the technology.

Google Cloud 114

Google Cloud Unstructured Data Technology Data 114

Databand.ai

AUGUST 30, 2023

Challenges of Legacy Data Architectures Some of the main challenges associated with legacy data architectures include: Lack of flexibility: Traditional data architectures are often rigid and inflexible, making it difficult to adapt to changing business needs and incorporate new data sources or technologies.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Cloudera

JUNE 27, 2023

The way to achieve this balance is by moving to a modern data architecture (MDA) that makes it easier to manage, integrate, and govern large volumes of distributed data. Simplify, and where possible, automate governance. To achieve this, they must integrate this data with sensitive information from customer accounts.

Data Architecture 62

Data Architecture Architecture Government Data Governance 62