AWS Big Data

JUNE 19, 2025

Global analytics capability – The organization’s data science team operates from European offices and needs to access and analyze the financial data without moving it out of its mandated storage Region. This approach maintains data residency in me-south-1 while enabling global access.

Analytics

Data Virtualization

APRIL 24, 2025

The post Financial Services Data Management Made Easy with GenAI and Denodo Platform on AWS appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. However, many organizations face a significant hurdle: the presence of legacy.

Management

Data Virtualization

MAY 20, 2025

In 2020, in The Practical Logical Data Warehouse, Gartner begins by saying, The logical data warehouse a data consolidation and virtualization architecture. The post Its Only Logical appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Warehouse

Data Virtualization

MAY 6, 2025

Theyd just completed a multi-year investment in a modern data lakehouse platform a combination of Databricks on Azure, paired with legacy systems.

Data Architecture

Data Virtualization

APRIL 16, 2025

Not only are the number of sources increasing, but each source now generates exponentially more data, in more formats, and from more locations on-prem, SaaS, hybrid cloud, edge devices, The post Holding Back the Data Tide: Why Logical Data Management is No Longer Optional appeared first on Data Management Blog - Data Integration and Modern Data Management (..)

Management

Smart Data Collective

SEPTEMBER 23, 2020

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

Data Lake

DataKitchen

DECEMBER 7, 2021

This book is not available until January 2022, but considering all the hype around the data mesh, we expect it to be a best seller. In the book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today’s organizations.

Data-driven

AWS Big Data

JUNE 10, 2024

In this blog post, we dive into different data aspects and how Cloudinary breaks the two concerns of vendor locking and cost efficient data analytics by using Apache Iceberg, Amazon Simple Storage Service (Amazon S3 ), Amazon Athena , Amazon EMR , and AWS Glue. 5 seconds $0.08 8 seconds $0.07 8 seconds $0.02 107 seconds $0.25

Data Lake

Sisense

DECEMBER 23, 2019

Artificial Intelligence and machine learning are the future of every industry, especially data and analytics. AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. Use AI to tackle huge datasets.

Data Lake

AWS Big Data

MARCH 28, 2023

As organizations across the globe are modernizing their data platforms with data lakes on Amazon Simple Storage Service (Amazon S3), handling SCDs in data lakes can be challenging.

Data Lake

DataKitchen

AUGUST 19, 2021

Figure 3 shows an example processing architecture with data flowing in from internal and external sources. Each data source is updated on its own schedule, for example, daily, weekly or monthly. The data scientists and analysts have what they need to build analytics for the user. The new Recipes run, and BOOM! Conclusion.

Data Warehouse

DataKitchen

AUGUST 9, 2021

Instead of having a giant, unwieldy data lake , the data mesh breaks up the data and workflow assets into controllable and composable domains with inherent interdependencies. Domains are built from raw data and/or the output of other domains. We call this collection of capabilities observable meta-orchestration.

Testing

AWS Big Data

AUGUST 3, 2023

Data analytics on operational data at near-real time is becoming a common need. Due to the exponential growth of data volume, it has become common practice to replace read replicas with data lakes to have better scalability and performance. For more information, see Changing the default settings for your data lake.

Data Lake

Data Virtualization

APRIL 21, 2022

Reading Time: 3 minutes First we had data warehouses, then came data lakes, and now the new kid on the block is the data lakehouse. But what is a data lakehouse and why should we develop one? In a way, the name describes what.

Data Lake

Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. RAPIDS brings the power of GPU compute to standard Data Science operations, be it exploratory data analysis, feature engineering or model building. Data Ingestion.

Machine Learning

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science

IBM Big Data Hub

JULY 5, 2023

Data Lakes have been around for well over a decade now, supporting the analytic operations of some of the largest world corporations. Such data volumes are not easy to move, migrate or modernize. The challenges of a monolithic data lake architecture Data lakes are, at a high level, single repositories of data at scale.

Data Lake

AWS Big Data

APRIL 18, 2024

This is a guest blog post co-authored with Atul Khare and Bhupender Panwar from Salesforce. The Normalized Parquet Logs are stored in an Amazon Simple Storage Service (Amazon S3) data lake and cataloged into Hive Metastore (HMS) on an Amazon Relational Database Service (Amazon RDS) instance based on S3 event notifications.

Optimization

Data Virtualization

MARCH 16, 2023

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

Data Lake

Data Virtualization

MARCH 16, 2023

Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3.

Data Lake

Data Virtualization

NOVEMBER 3, 2022

Reading Time: 4 minutes The amount of expanding volume and variety of data originating from various sources are a massive challenge for businesses. In attempts to overcome their big data challenges, organizations are exploring data lakes as repositories where huge volumes and varieties of.

Data Lake

Cloudera

JUNE 2, 2022

allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination. This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? What is the modern data stack?

Enterprise

Data Virtualization

OCTOBER 5, 2022

For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

Data Lake

AWS Big Data

NOVEMBER 6, 2023

Amazon EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug data engineering and data science applications written in R, Python, Scala, and PySpark. This helps you reduce operational overhead.

Data Lake

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. Features focus on media and entertainment firms.

Recreation/Entertainment

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake

DataKitchen

JANUARY 3, 2022

For example, teams working under the VP/Directors of Data Analytics may be tasked with accessing data, building databases, integrating data, and producing reports. Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units.

Business Analytics

CDW Research Hub

JULY 18, 2022

One modern data platform solution that provides simplicity and flexibility to grow is Snowflake’s data cloud and platform. These Snowflake accelerators reduce the time to analytics for your users at all levels so you can make data-driven decisions faster. Security Data Lake. Overall data architecture and strategy.

Optimization

Data Virtualization

JULY 1, 2021

If we look at a typical , many of its stages have more to do with data than science. Before data scientists can begin their work regarding data science, they often must begin by: Finding the right data Gaining access.

Data Science

CIO Business Intelligence

JULY 13, 2022

allowing developers to connect to any data source anywhere with any structure, process it, and deliver to any destination. This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? What is the modern data stack?

Enterprise

AWS Big Data

AUGUST 19, 2024

Open the secret blog-glue-snowflake-credentials. For AWS Secret , choose the secret blog-glue-snowflake-credentials. For IAM Role , choose the role that has access to the target S3 location where the job is writing to and the source location from where it’s loading the Snowflake data and also to run the AWS Glue job.

Analytics

DataKitchen

JUNE 12, 2023

We had been talking about “Agile Analytic Operations,” “DevOps for Data Teams,” and “Lean Manufacturing For Data,” but the concept was hard to get across and communicate. I spent much time de-categorizing DataOps: we are not discussing ETL, Data Lake, or Data Science.

Testing

Alation

OCTOBER 7, 2021

In this essay, Jason reflects on the value of thinking spatially about data, showing how his experience as a graduate student influences his role as a data scientist today. The popularity of location data and GIS-styled analyses has amplified a common cry in GIS- turned-data-science circles: “Spatial isn’t special!”

Data Lake

Cloudera

OCTOBER 11, 2021

Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x. Modak Nabu reliably curates datasets for any line of business and personas, from business analysts to data scientists. Customers using Modak Nabu with CDP today have deployed Data Lakes and.

Data Lake

Cloudera

DECEMBER 14, 2022

OCBC identified the need to upgrade its data lake technology as part of an enterprise data science initiative to introduce a more resilient infrastructure and platform capable of managing projects with increasing volume, variety and velocity of data, while also enabling real-time analytics. .

Data Strategy

Cloudera

NOVEMBER 29, 2021

Carrefour Spain , a branch of the larger company (with 1,250 stores), processes over 3 million transactions every day, giving rise to challenges like creating and managing a data lake and honing down key demographic information. . Working with Cloudera, Carrefour Spain was able to create a unified data lake for ease of data handling.

Data Lake

Cloudera

NOVEMBER 18, 2020

To ensure maximum momentum and flawless service the Experian BIS Data Enrichment team decided to use the power of big data by utilizing Cloudera’s Data Science Workbench. This enabled Merck KGaA to control and maintain secure data access, and greatly increase business agility for multiple users.

Internet Publishing and Broadcasting