Rockset

APRIL 18, 2023

Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Comprehending and understanding how to leverage unstructured data has remained challenging and costly, requiring technical depth and domain expertise.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Precisely

MAY 13, 2024

If you need to build stronger, faster, and flexible data integration, use this checklist of ten key attributes to streamline your search and find the right technology for your organization, faster. #1. Are these sources a match for all my batch data ingest and change data capture (CDC) needs? #2.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

AltexSoft

AUGUST 29, 2023

The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. This article explains what a data lake is, its architecture, and diverse use cases. What is a data lake? Unstructured data sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics. Let’s talk about it.

Data Integration 98

Data Integration Metadata Government Unstructured Data 98

Monte Carlo

FEBRUARY 12, 2024

To differentiate and expand the usefulness of these models, organizations must augment them with first-party data – typically via a process called RAG (retrieval augmented generation). Today, this first-party data mostly lives in two types of data repositories.

Database 72

Database Unstructured Data Data Pipeline Metadata 72

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Metadata layer 4. Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Metadata layer 4. Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Snowflake

NOVEMBER 29, 2023

In medicine, lower sequencing costs and improved clinical access to NGS technology has been shown to increase diagnostic yield for a range of diseases, from relatively well-understood Mendelian disorders, including muscular dystrophy and epilepsy , to rare diseases such as Alagille syndrome.

Metadata 84

Metadata Healthcare Medical Data Storage 84

The Modern Data Company

JANUARY 22, 2024

Let’s talk about it. The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Monte Carlo

AUGUST 9, 2023

Here are some current and likely ways generative AI is contributing value to organizations and data teams both today and in the near future. #1- 1- Increasing data accessibility The lowest hanging fruit for generative AI within the world of data? You have it in the BI layer, you have it in data exploration tools.

IT 52

IT Unstructured Data SQL BI 52

Snowflake

NOVEMBER 2, 2023

These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh. Rather than defining schema upfront, a user can decide which data and schema they need for their use case.

Data Lake 91

Data Lake Data Warehouse Cloud Unstructured Data 91

Data Engineering Podcast

NOVEMBER 27, 2022

This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. The Arrow project is designed to eliminate wasted effort in translating between languages, and Voltron Data was created to help grow and support its technology and community. Missing data? Stale dashboards?

Data Process 100

Data Process Process Metadata Business Intelligence 100

Monte Carlo

AUGUST 25, 2023

Modern companies are ingesting, storing, transforming, and leveraging more data to drive more decision-making than ever before. Data teams need to balance the need for robust, powerful data platforms with increasing scrutiny on costs. One advantage of data warehouses is their integrated nature.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Cloudera

MARCH 17, 2023

ChatGPT is trained on historical data and depending on how one phrases their question, it may offer inaccurate or misleading information. I took the free version of ChatGPT on a test drive (in March 2023) and asked some simple questions on data lakehouse and its components.

Education 62

Education Unstructured Data Data Lake Data Warehouse 62

Monte Carlo

JANUARY 23, 2024

Read on to hear their predictions for the 5 pillars the industry will be built on in 2024, and their recommendations for how data teams can maximize AI’s current capabilities in the short-term — while laying the groundwork for long-term transformation. Table of Contents Prediction 1: AI will transform data science and engineering.

Pipeline-centric 52

Pipeline-centric Database-centric Metadata Unstructured Data 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Cloudera

SEPTEMBER 9, 2022

Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested. Iceberg handles massive data born in the cloud.

Architecture 100

Architecture Metadata Unstructured Data Machine Learning 100

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Despite its prevalence, data can be messy, siloed, ungovernable, and inaccessible—especially to the non-technical employees who rely on it. Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. Table of Contents What is a data fabric?

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Towards Data Science

APRIL 6, 2023

In today’s age of digital business, an increasing number of decisions companies make when it comes to delivering customer experience, building trust, and shaping their business strategy begins with accurate data. Data quality is critical to delivering good customer experiences.

Unstructured Data 79

Unstructured Data Metadata Data Coding 79

Precisely

FEBRUARY 9, 2024

Trusted AI Outcomes Require a Focus on Data Integrity Everyone’s talking about artificial intelligence (AI) for its unique ability to automate or accelerate user tasks, resulting in greater efficiency and productivity and a reduced dependence on manual labor. But few organizations have the data integrity required to power meaningful outcomes.

Data Integration 67

Data Integration Government Metadata Data 67

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. Diversity of workloads.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Knowledge Hut

DECEMBER 21, 2023

In the present-day world, almost all industries are generating humongous amounts of data, which are highly crucial for the future decisions that an organization has to make. This massive amount of data is referred to as “big data,” which comprises large amounts of data, including structured and unstructured data that has to be processed.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

Cloudera

OCTOBER 7, 2021

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Introduction to the Data Mesh Architecture and its Required Capabilities. Components of a Data Mesh.

Architecture 124

Architecture Metadata Government Kafka 124

Snowflake

JANUARY 22, 2024

As part of that transition, Fidelity has consolidated its analytics data into its Enterprise Analytics Platform, which is engineered using the Snowflake Data Cloud, making it easier for teams and departments across the company to access the data they need. Historically, the platform was housed in physical servers.

Engineering 63

Engineering Data Lake Unstructured Data Metadata 63

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. 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.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Monte Carlo

JANUARY 24, 2023

To address these challenges, new frameworks are regularly emerging that promise to simplify and optimize how data is ingested, stored, transformed, and analyzed. One of the latest is the concept of a data fabric. A data fabric isn’t just a buzzword, but it is a somewhat abstract design concept. What is a data fabric?

Metadata 40

Metadata Unstructured Data Data Architecture 40

Towards Data Science

FEBRUARY 9, 2024

Orchestration I mentioned modularity as a core concept of building a modern data platform in my 2021 article, but I failed to emphasize the importance of data orchestration. This time around, I have a whole section dedicated to orchestration and why it has emerged as a natural compliment to a modern data stack.

Building 79

Building Transportation Data Lake Metadata 79

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. Want to learn more about data governance? Check out our Data Governance on Snowflake blog!

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Monte Carlo

NOVEMBER 6, 2023

Just as a seed buried too deep won’t sprout, valuable data, when lost in the noise, fails to provide value. That’s why data discovery tools are so important. Odds are you’re not starved for data; you’re buried in it. It offers a 360-degree view of your data, including data lineage, relationships, and rich metadata.

Metadata 40

Metadata Unstructured Data Government Data Governance 40

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. While Cloudera CDH was already a success story at HBL, in 2022, HBL identified the need to move its customer data centre environment from Cloudera’s CDH to Cloudera Data Platform (CDP) Private Cloud to accommodate growing volumes of data.

Banking 84

Banking Management Data Lake Professional Services 84

AltexSoft

AUGUST 22, 2022

What’s more, Gartner identifies data fabric implementation as one of the top strategic technology trends for 2022 and expects that by 2024, data fabric deployments will increase the efficiency of data use while halving human-driven data management tasks. What is data fabric? Data fabric architecture example.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Databand.ai

JULY 19, 2023

Data lineage tools provide a visual representation of your data’s journey across multiple systems and transformations. They trace and document the life cycle of data, from its origin to its various transformations and final destination. It provides context for data, making it easier to understand and manage.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

AltexSoft

SEPTEMBER 23, 2021

The larger the company, the more data it has to generate actionable insights. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. What is Data Hub? A data hub is a central mediation point between various data sources and data consumers.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

AltexSoft

FEBRUARY 11, 2023

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? What is the main difference between a data architect and a data engineer?

Data Architect 87

Data Architect Certification Generalist Big Data 87

Data Engineering Podcast

SEPTEMBER 14, 2020

On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission. In this episode Dale Kim shares how Hazelcast is implemented, the use cases that it enables, and how it complements on-disk data management systems. How is Hazelcast implemented?

Process 100

Process Unstructured Data Metadata Data Engineering 100