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 105

Data-driven Machine Learning Data Lake Cost-Benefit 105

Ms SQL Girl

FEBRUARY 3, 2015

I’m pleased to announce that I will be delivering a one day workshop as one of the two precons at SQL Saturday 382, Brisbane. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. The details of the course are listed below.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

I’m pleased to announce that I will be delivering a one day workshop as one of the two precons at SQL Saturday 382, Brisbane. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. The details of the course are listed below.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

I’m pleased to announce that I will be delivering a one day workshop as one of the three precons at SQL Saturday 389, Huntington Beach, California. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

I’m pleased to announce that I will be delivering a one day workshop as one of the three precons at SQL Saturday 389, Huntington Beach, California. Her recent projects include delivering a SQL Server 2012 Data Warehouse and BI solutions for a number of high profile clients in the US and Australia. Introduction to Power BI.

Dashboards 40

Dashboards Visualization KPI Interactive 40

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 Dashboards 218

AWS Big Data

JANUARY 31, 2023

Amazon Redshift is a fully-managed, petabyte-scale data warehouse service in the AWS Cloud. The data sharing feature allows data owners to group databases, tables, and views in an Amazon Redshift cluster and share it with other Amazon Redshift clusters within or across AWS accounts.

Data Lake 98

Data Lake Data Governance Data Architecture Machine Learning 98

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 Uncertainty Data Lake 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

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 114

Risk Software Management Publishing 114

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

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 Science Data Transformation 52

Smarten

SEPTEMBER 9, 2024

Review Technology and Business Processes Look at your current technology and all the places your data resides (data warehouses, the cloud (private or public), best-of-breed software, legacy software, ERP, CRM, HR, SCM, and other focused solutions that support a particular division, team or department.

KPI 52

KPI Consulting Business Intelligence Predictive Modeling 52

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 97

Data Lake Snapshot Optimization Data Transformation 97

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 63

Cost-Benefit Data-driven Optimization Marketing 63

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 Data Science Strategy 52

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

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 Reporting 52

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

Smarten

SEPTEMBER 9, 2024

Preparing for a Citizen Data Scientist Initiative Once you have made the decision to begin a Citizen Data Scientist initiative, you must plan carefully to be sure you can accomplish your goals.

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 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

Alation

APRIL 14, 2023

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. Cloud costs are growing prohibitive. We have a jam-packed conference schedule ahead.

Data Warehouse 52

Data Warehouse Data-driven Metadata Digital Transformation 52

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