O'Reilly on Data

FEBRUARY 19, 2021

The Right Solution for Your Data: Cloud Data Lakes and Data Lakehouses. Data lakes have experienced a fairly robust resurgence over the last few years, specifically cloud data lakes. A Wave of Cloud-Native, Distributed Data Frameworks. Request a demo.

Data Lake 289

Data Lake Data Warehouse Machine Learning Modeling 289

AWS Big Data

MARCH 29, 2024

The skewness metrics of the job multistage-demo showed 9.53, which is significantly higher than others. You can choose Controls , and change filter conditions based on date time, Region, AWS account ID, AWS Glue job name, job run ID, and the source and sink of the data stores. For now, let’s filter with the job name multistage-demo.

Metrics 108

Metrics Visualization Dashboards Interactive 108

AWS Big Data

MARCH 23, 2023

Register the S3 path storing the table using Lake Formation We register the S3 full path in Lake Formation: Navigate to the Lake Formation console. In the navigation pane, under Register and ingest , choose Data lake locations. For Data filter name , enter blog_data_filter. Choose Create new filter.

Interactive 69

Interactive Snapshot Data Lake Software 69

AWS Big Data

SEPTEMBER 13, 2023

A modern data architecture is an evolutionary architecture pattern designed to integrate a data lake, data warehouse, and purpose-built stores with a unified governance model. The company wanted the ability to continue processing operational data in the secondary Region in the rare event of primary Region failure.

Data Lake 93

Data Lake Data Processing Metadata Snapshot 93

Cloudera

MARCH 17, 2023

The table format provides the necessary structure for the unstructured data that is missing in a data lake, using a schema or metadata definition, to bring it closer to a data warehouse. Some of the popular table formats are Apache Iceberg, Delta Lake, Hudi, and Hive ACID.

Unstructured Data 61

Unstructured Data Data Lake Data Warehouse Machine Learning 61

CIO Business Intelligence

APRIL 25, 2024

Have a demo of the proof of concept at the end of the eight weeks. “I At a minimum, your DIY cloud cost optimization team will require an enterprise architect who understands the technology, says Garcia, who also recommends a financial developer or somebody with financial and data science experience. Assign a product owner.

Management 124

Management Optimization Strategy Enterprise 124

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Company data exists in the data lake.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

erwin

APRIL 2, 2021

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business. erwin Data Intelligence. Request Demo.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

Jet Global

JANUARY 18, 2021

In a separate blog post, we discussed the potential for using a data warehouse as a means for automating data extraction and transformation in advance of system migration. With Jet Analytics, it is remarkably easy to build the infrastructure to automate major portions of the data migration process.

Data Lake 98

Data Lake Reporting Cost-Benefit Finance 98

Jet Global

JANUARY 15, 2021

As Microsoft focuses its reporting strategy around Power BI and Azure Data Lake services, Dynamics partners should carefully consider the implications of starting down the path that Microsoft is recommending. Visit insightsoftware.com for more information and request a free demo.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

CIO Business Intelligence

JUNE 28, 2023

“We transferred our lab data—including safety, sensory efficacy, toxicology tests, product formulas, ingredients composition, and skin, scalp, and body diagnosis and treatment images—to our AWS data lake,” Gopalan says. This allowed us to derive insights more easily.”

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

Cloudera

OCTOBER 13, 2020

CDP Data Hub: a VM/Instance-based service that allows IT and developers to build custom business applications for a diverse set of use cases with secure, self-service access to enterprise data. . Optimize the Data Lifecycle : Collect, enrich, report, serve, and model enterprise data for any business use case in any cloud.

Data Warehouse 92

Data Warehouse Machine Learning Visualization Data Lake 92

AWS Big Data

APRIL 27, 2023

Amazon Athena supports the MERGE command on Apache Iceberg tables, which allows you to perform inserts, updates, and deletes in your data lake at scale using familiar SQL statements that are compliant with ACID (Atomic, Consistent, Isolated, Durable). Navigate to the Athena console and choose Query editor.

Data Lake 74

Data Lake Snapshot Optimization Data Transformation 74

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. You can also watch the webinar to learn more about Apache Iceberg and see the demo to learn the latest capabilities.

Strategy 57

Strategy Optimization Snapshot Metadata 57

AWS Big Data

FEBRUARY 6, 2023

He has a specialty in big data services and technologies and an interest in building customer business outcomes together. Jiseong Kim is a Senior Data Architect at AWS ProServe. His area of interests are data lakes and cloud modern data architecture delivery.

Dashboards 76

Dashboards Optimization Data Lake Cost-Benefit 76

Jedox

JANUARY 13, 2023

Jedox, which scored highly in the report for its advanced analytics capability, helps organizations adapt easily to changing infrastructure and expanding data sources. Users can integrate data from almost any source, from flat files to relational databases, data lakes, and cloud apps, to get a complete picture of business processes.

Software 52

Software Finance Forecasting Data Lake 52

Alation

JANUARY 10, 2023

Shortening data discovery by at least 50% resulted in time savings of $2.7 Other significant advantages included preventing data lakes from becoming data swamps, enhancing the accuracy of analytics, and making it easier to record tribal knowledge. Get the latest data cataloging news and trends in your inbox.

ROI 52

ROI Data Lake Strategy Data-driven 52

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed, cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you to securely access your data in operational databases, data lakes or third-party datasets with minimal movement or copying.

Data Warehouse 85

Data Warehouse Data-driven Testing Business Intelligence 85

AWS Big Data

APRIL 8, 2024

However, the sales team wants to publish this table to Amazon DataZone to facilitate secure and governed data sharing with the finance team. After the hybrid access mode integration is enabled in Amazon DataZone, the finance team requests a subscription to the sales data asset.

Finance 79

Finance Sales Publishing Metadata 79

Jet Global

OCTOBER 7, 2020

In the future, customers will be able to deploy Data Entities and replicate transactional tables in an Azure Data Lake. To learn more about how insightsoftware can enable agile, streamlined reporting against D365 F&SCM in your organization, contact us for more information or a free demo.

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Jet Global

JANUARY 6, 2021

Microsoft’s new approach to reporting is due to its desire to move customers toward Azure Data Lakes and Microsoft Power BI. To learn more about how insightsoftware can enable agile, streamlined reporting against Microsoft D365 in your organization, contact us for more information or a free demo.

Cost-Benefit 98

Cost-Benefit Testing Finance Reporting 98

erwin

JANUARY 11, 2019

Creating a High-Quality Data Pipeline. Working hand-in-hand, data management and data governance provide a real-time, accurate picture of the data landscape, including “data at rest” in databases, data lakes and data warehouses and “data in motion” as it is integrated with and used by key applications.

Data Governance 40

Data Governance Risk Metadata Management 40

Jet Global

DECEMBER 3, 2021

It is able to draw from a broader array of data stores, including traditional relational databases, robust data warehouses, and cloud-based data lakes. To arrange a free no-obligation demo, contact us today. As technology has evolved, BI has grown steadily more powerful, affordable, and accessible.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

Alation

NOVEMBER 28, 2022

But refreshing this analysis with the latest data was impossible… unless you were proficient in SQL or Python. We wanted to make it easy for anyone to pull data and self service without the technical know-how of the underlying database or data lake. We’ve got you covered: Join a self-guided demo.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 81

Data Lake Data Analytics Analytics Data Processing 81

Rita Sallam

AUGUST 17, 2016

Cindi gave visual-based data discovery participants Tableau, Qlik, Microsoft Power BI and MicroStrategy college student demographic data and payroll data and a demo script. Why BeyondCore is Disruptive. Now to the Workday acquisition of Platfora, which was announced at the end of July and closed quickly on August 5 th.

Scorecard 40

Scorecard Visualization Sales Marketing 40

Cloudera

FEBRUARY 13, 2024

Below is the Azure CLI command: Cloudera allows FreeIPA servers, enterprise data lake, and data hub to be configured as Multi-AZ deployment. Below is the CLI command: To configure the data lake as Multi-AZ, it needs to be specified as part of data lake creation via CLI or GUI.

Data Lake 52

Data Lake Testing Data Processing Enterprise 52

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. For IAM role , choose a Lake Formation user-defined role.

Management 92

Management Data Lake Sales Data Warehouse 92

IBM Big Data Hub

OCTOBER 4, 2023

A data lakehouse architecture combines the performance of data warehouses with the flexibility of data lakes, to address the challenges of today’s complex data landscape and scale AI. With watsonx.data, you can experience the benefits of a data lakehouse to help scale AI workloads for all your data, anywhere.

Data Lake 84

Data Lake Metadata Cost-Benefit Data Warehouse 84

Jet Global

MAY 27, 2022

How Synapse works with Data Lakes and Warehouses. Synapse services, data lakes, and data warehouses are often discussed together. Here’s how they correlate: Data lake: An information repository that can be stored in a variety of different ways, typically in a raw format like SQL. Book A Demo.

Data Lake 52

Data Lake IT Recreation/Entertainment Data Warehouse 52

AWS Big Data

MARCH 18, 2024

To create your namespace and workgroup, refer to Creating a data warehouse with Amazon Redshift Serverless. For this exercise, name your workgroup sandbox and your namespace adx-demo. To configure Query Editor v2 for your AWS account, refer to Data load made easy and secure in Amazon Redshift using Query Editor V2.

Data Warehouse 83

Data Warehouse Visualization Snapshot Data-driven 83

AWS Big Data

JUNE 29, 2023

In our solution, we create a notebook to access automotive sensor data, enrich the data, and send the enriched output from the Kinesis Data Analytics Studio notebook to an Amazon Kinesis Data Firehose delivery stream for delivery to an Amazon Simple Storage Service (Amazon S3) data lake. Choose Save.

Data Analytics 75

Data Analytics Analytics IoT Data Lake 75

AWS Big Data

MAY 16, 2024

Figure 5 – Diagram illustrating the process of using H3-powered analytics for strategic decision-making Let’s talk about your use case You can experience the future of location intelligence firsthand by requesting a demo from CARTO today.

Data Warehouse 103

Data Warehouse Visualization Cost-Benefit Optimization 103

Cloudera

MAY 7, 2024

Our customer is able to collect, process, and filter log data from hundreds of thousands of distributed devices, streaming that data for high-speed ingestion into a cyber data lake for analysis much more efficiently than a SIEM-only approach.

Digital Transformation 70

Digital Transformation Data-driven Data Lake Enterprise 70

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 103

Metadata Data Lake Publishing Data Governance 103

Cloudera

FEBRUARY 8, 2024

The support for Apache Iceberg as the table format in Cloudera Data Platform and the ability to create and use materialized views on top of such tables provides a powerful combination to build fast analytic applications on open data lake architectures.

Snapshot 88

Snapshot Metadata Cost-Benefit Data Warehouse 88

IBM Big Data Hub

DECEMBER 7, 2023

Automated data preparation and cleansing : AI-powered data preparation tools will automate data cleaning, transformation and normalization, reducing the time and effort required for manual data preparation and improving data quality.

OLAP 62

OLAP Slice and Dice Cost-Benefit Data Warehouse 62