CIO Business Intelligence

APRIL 6, 2022

We are centered around co-creating with customers and promoting a systematic and scalable innovation approach to solve real-world customers problems—similar to Toyota leveraging Infosys Cobalt to modernize its vehicle data warehouse into a next-generation data lake on AWS. .

Experimentation 104

Experimentation Data Lake Uncertainty Enterprise 104

Cloudera

JUNE 2, 2022

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? Use cases demand that data no longer be distributed to just a data warehouse or subset of data sources, but to a diverse set of hybrid services across cloud providers and on-prem.

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

CIO Business Intelligence

JULY 13, 2022

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? Use cases demand that data no longer be distributed to just a data warehouse or subset of data sources, but to a diverse set of hybrid services across cloud providers and on-prem.

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

Andrew White

OCTOBER 22, 2021

Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Business Innovation with D&A 6.

IT 52

IT Data Lake Strategy Data Science 52

Alation

JUNE 20, 2023

By then I had converted that small Heights data dictionary to the Snowflake sources. We did have an existing data warehouse solution, but it was so rarely used by outside teams, and I can’t even remember the name. Normally, with a new customer they would suggest some preliminary workshops but we were ready to dive right in.

Technology 52

Technology Data Governance Data Warehouse Software 52

Cloudera

OCTOBER 13, 2020

The upgrade advisor utility is focused on the environment and platform in use but doesn’t take into consideration use-cases, the actual cluster data, or workflows in use. Analysis of these critical areas occurs as part of your CDP Journey Workshop with your Cloudera account team and Professional Services.

Risk 113

Risk Software Management Publishing 113

AWS Big Data

JULY 13, 2023

Altron is a pioneer of providing data-driven solutions for their customers by combining technical expertise with in-depth customer understanding to provide highly differentiated technology solutions. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 87

Optimization B2B Data Quality Sales 87

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

AWS Big Data

FEBRUARY 20, 2024

The elasticity of Kinesis Data Streams enables you to scale the stream up or down, so you never lose data records before they expire. Analytical data storage The next service in this solution is Amazon Redshift, a fully managed, petabyte-scale data warehouse service in the cloud.

Visualization 96

Visualization Cost-Benefit Optimization B2B 96

IBM Big Data Hub

FEBRUARY 19, 2024

A data monetization capability built on platform economics can reach its maximum potential when data is recognized as a product that is either built or powered by AI. At the enterprise level, business units identify the data they need from source systems and create data sets tailored exclusively to their specific solutions.

Cost-Benefit 71

Cost-Benefit Data-driven Optimization Marketing 71

Domino Data Lab

JULY 22, 2019

The data governance, however, is still pretty much over on the data warehouse. Toward the end of the 2000s is when you first started getting teams and industry, as Josh Willis was showing really brilliantly last night, you first started getting some teams identified as “data science” teams.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

APRIL 27, 2023

Specifically, to extract changed data including inserts, updates, and deletes from the database, you can configure AWS DMS with two replication tasks, as described in the following workshop. The first task performs an initial copy of the full data into an S3 folder. Alexandre Rezende is a Data Lab Solutions Architect with AWS.

Data Lake 70

Data Lake Snapshot Optimization Data Transformation 70

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. Data sharing provides live access to data so that you always see the most up-to-date and consistent information as it’s updated in the data warehouse.

Big Data 65

Big Data Data Warehouse Advertising OLAP 65

AWS Big Data

NOVEMBER 13, 2023

11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.

Analytics 110

Analytics Data Lake Data Warehouse Data-driven 110

AWS Big Data

NOVEMBER 15, 2023

Sessions can be big room breakout sessions, usually with a customer speaker, or more intimate and technical chalk talks, workshops, or builder sessions. Take a look, plan your week, and soak in the learning!

Data Lake 66

Data Lake Data Warehouse B2B Deep Learning 66

AWS Big Data

NOVEMBER 8, 2023

Fast-track streaming ETL with AWS streaming data services: Learn how to build streaming data pipelines across data lakes and data warehouses. Learn best practices for performance, scale, and cost control in Amazon Kinesis Data Streams, Amazon MSK, Amazon Redshift streaming ingestion, and AWS Glue streaming.

Data-driven 85

Data-driven Data Lake Machine Learning Cost-Benefit 85

datapine

FEBRUARY 22, 2022

This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? With all this information in hand, you can think about training opportunities such as workshops, seminars, and others.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

JUNE 16, 2022

During a customer workshop, Laila, as a seasoned former DBA, made the following commentary that we often hear from our customers: “Streaming data has little value unless I can easily integrate, join, and mesh those streams with the other data sources that I have in my warehouse, relational databases and data lake.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

AWS Big Data

APRIL 25, 2023

The following factors guided our decision: Tool close to data – It was important to have the data visualization tool as close to the data as possible. At Dafiti, the entire infrastructure is on AWS, and we use Amazon Redshift as our Data Warehouse.

Visualization 52

Visualization IT Data-driven Reporting 52

Andrew White

JANUARY 11, 2021

See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Policy enforcement.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52