Blog, Data Architecture, Data Lake and Unstructured Data

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Data Architecture

Data Lake

Unstructured Data

Migrate an existing data lake to a transactional data lake using Apache Iceberg

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Choose Next to create your stack.

Data Lake

Data Lake Metadata Snapshot Recreation/Entertainment

Data architecture strategy for data quality

IBM Big Data Hub

JANUARY 5, 2023

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

Data Quality

Data Quality Data Architecture Strategy Data Lake

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Educating ChatGPT on Data Lakehouse

Cloudera

MARCH 17, 2023

As the use of ChatGPT becomes more prevalent, I frequently encounter customers and data users citing ChatGPT’s responses in their discussions. I love the enthusiasm surrounding ChatGPT and the eagerness to learn about modern data architectures such as data lakehouses, data meshes, and data fabrics.

Unstructured Data

Unstructured Data Data Lake Data Warehouse Machine Learning

Webinars

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Understanding User Needs and Satisfying Them

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Leading the Development of Profitable and Sustainable Products

How To Get Promoted In Product Management

MORE WEBINARS

Databricks’ new data lakehouse aims at media, entertainment sector

CIO Business Intelligence

APRIL 25, 2022

Now generally available, the M&E data lakehouse comes with industry use-case specific features that the company calls accelerators, including real-time personalization, said Steve Sobel, the company’s global head of communications, in a blog post. Partner solutions to boost functionality, adoption.

Recreation/Entertainment

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science

Data Science Data Analytics Prescriptive Analytics Analytics

Demystifying Modern Data Platforms

Cloudera

SEPTEMBER 15, 2022

Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. The high-level architecture shown below forms the backdrop for the exploration. Luke: Let’s talk about some of the fundamentals of modern data architecture.

Data Lake

Data Lake Data Architecture Data-driven Data Warehouse

5 misconceptions about cloud data warehouses

IBM Big Data Hub

FEBRUARY 2, 2023

This approach has several benefits, such as streamlined migration of data from on-premises to the cloud, reduced query tuning requirements and continuity in SRE tooling, automations, and personnel. This enabled data-driven analytics at scale across the organization 4.

Data Warehouse

Data Warehouse Cost-Benefit Unstructured Data Data Architecture

Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

JANUARY 8, 2024

Therefore, it is critical for organizations to embrace a low-latency, scalable, and reliable data streaming infrastructure to deliver real-time business applications and better customer experiences. Refer to Amazon Kinesis Data Streams integrations for additional details.

Analytics

Analytics IoT Data-driven Snapshot

The year’s top 10 enterprise AI trends — so far

CIO Business Intelligence

SEPTEMBER 21, 2023

Enterprises still aren’t extracting enough value from unstructured data hidden away in documents, though, says Nick Kramer, VP for applied solutions at management consultancy SSA & Company. Data warehouses then evolved into data lakes, and then data fabrics and other enterprise-wide data architectures.

Enterprise

Enterprise Consulting Modeling Cost-Benefit

Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. In this post, we describe Orca’s journey building a transactional data lake using Amazon Simple Storage Service (Amazon S3), Apache Iceberg, and AWS Analytics.

Data Lake

Data Lake Analytics Snapshot Optimization

Habib Bank manages data at scale with Cloudera Data Platform

Cloudera

NOVEMBER 17, 2022

The Solution: CDP Private Cloud brings a next-generation hybrid architecture with cloud-native benefits to HBL’s data platform. HBL started their data journey in 2019 when data lake initiative was started to consolidate complex data sources and enable the bank to use single version of truth for decision making.

Management

Management Data Lake Consulting Unstructured Data

How Data Management and Big Data Analytics Speed Up Business Growth

BizAcuity

APRIL 14, 2022

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space. Unstructured Data Management.

Big Data

Big Data Data Analytics Management Unstructured Data

Chose Both: Data Fabric and Data Lakehouse

Cloudera

SEPTEMBER 12, 2022

And second, for the data that is used, 80% is semi- or unstructured. Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. These answers must be reliable and delivered quickly. Better together.

Unstructured Data

Unstructured Data Data Architecture Data Lake Snapshot

Data democratization: How data architecture can drive business decisions and AI initiatives

IBM Big Data Hub

AUGUST 4, 2023

Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture

Data Architecture Data Lake Machine Learning Data Governance

How Cloudera Data Flow Enables Successful Data Mesh Architectures

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. How CDF enables successful Data Mesh Architectures. Introduction.

Metadata

Metadata Cost-Benefit Enterprise Interactive

What Is Data Modernization? 5 Benefits Worth Knowing

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. Only then can you extract insights across fragmented data architecture.

Cost-Benefit

Cost-Benefit Data Governance Manufacturing Data Architecture

Data Leaders Brief

Migrate an existing data lake to a transactional data lake using Apache Iceberg

Data architecture strategy for data quality

Webinars

Trending Sources

Educating ChatGPT on Data Lakehouse

Webinars

Databricks’ new data lakehouse aims at media, entertainment sector

Data science vs data analytics: Unpacking the differences

Demystifying Modern Data Platforms

5 misconceptions about cloud data warehouses

Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

The year’s top 10 enterprise AI trends — so far

Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

Habib Bank manages data at scale with Cloudera Data Platform

How Data Management and Big Data Analytics Speed Up Business Growth

Chose Both: Data Fabric and Data Lakehouse

Data democratization: How data architecture can drive business decisions and AI initiatives

How Cloudera Data Flow Enables Successful Data Mesh Architectures

What Is Data Modernization? 5 Benefits Worth Knowing

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