AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads.

Management 95

Management Data Warehouse Metrics Dashboards 95

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Additionally, the task of maintaining and managing files in the data lake can be tedious and sometimes complex. Dimension-based models have been used extensively to build data warehouses.

Data Lake 103

Data Lake Sales Data Warehouse Snapshot 103

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

SEPTEMBER 23, 2022

These operations are part of the service and a key feature that drives lower total cost of ownership — you do not have to hire or staff an operations team to manage the data lakehouse. Your data warehouse dashboards might be running during business hours and remain unused during other hours.

Data Governance 110

Data Governance Strategy Enterprise Cost-Benefit 110

Alation

JANUARY 17, 2023

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 ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. Better Data Culture.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 75

Metadata Data Lake Data Processing Data-driven 75

IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

CIO Business Intelligence

MAY 24, 2022

The survey found the mean number of data sources per organisation to be 400, and more than 20 percent of companies surveyed to be drawing from 1,000 or more data sources to feed business intelligence and analytics systems. Having systems able to scale to handle the volumes of data to be analysed.

Data-driven 97

Data-driven Data Lake Data Warehouse Cost-Benefit 97

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? 4) How To Create A Business Intelligence Strategy. Odds are you know your business needs business intelligence (BI). Over the past 5 years, big data and BI became more than just data science buzzwords. Table of Contents.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

DECEMBER 2, 2020

With access to vast amounts of data from its customer base, the company knew its ability to mine this data would be a key driver of positive transformation. However, it was locked into an expensive legacy data warehouse which resulted in high operational costs and the inability to perform exploratory analytics.

Digital Transformation 67

Digital Transformation Cost-Benefit Data-driven Data Science 67

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated. The approach they’ve used applies to other popular data science APIs such as NumPy , Tensorflow , and so on.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Peter James Thomas

MAY 3, 2019

The flip side is that making the necessary investments to provide even basic information has been at the heart of the successful business turnarounds that I have been involved in. The bulk of Business Intelligence efforts would also fall into this area, but there is some overlap with the area I next describe as well.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

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 111

Analytics Data Lake Data Warehouse Data-driven 111

DataRobot

JANUARY 20, 2022

Specialized teams from DataRobot and Snowflake will enable ICSs to mitigate data governance and model bias risk with confidence. Public sector data sharing. — DataRobot and Snowflake can be deployed on all three major cloud providers, enabling a very fast and assured migration to a highly secure and governed environment.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

Alation

FEBRUARY 13, 2020

Industry leaders like General Electric, Munich Re and Pfizer are turning to self-service analytics and modern data governance. They are leveraging data catalogs as a foundation to automatically analyze technical and business metadata, at speed and scale. “By Ventana Research’s 2018 Digital Innovation Award for Big Data.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Data Virtualization

FEBRUARY 16, 2023

Reading Time: 3 minutes As any data leader will tell you, it is impossible to derive any value from data unless it is accessible and reliable, regardless of where the data resides. Unfortunately, organizations are far from achieving this goal, because their data is.

Data Integration 52

Data Integration Management IT Data Architecture 52

Data Virtualization

FEBRUARY 16, 2023

Reading Time: 3 minutes As any data leader will tell you, it is impossible to derive any value from data unless it is accessible and reliable, regardless of where the data resides. Unfortunately, organizations are far from achieving this goal, because their data is.

Data Integration 52

Data Integration Management IT Data Architecture 52

Andrew White

MARCH 22, 2019

This ties into the failure of data governance and MDM (see first item in this list). A data hub strategy should be economical, not perfected; and a data hub does not collect data like a data warehouses or data lake does – they are very different things. Strategy is Learning By Doing.

Analytics 68

Analytics Metadata Data Governance Management 68

Jet Global

MARCH 14, 2024

The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform. Data Transformation and Modeling Jet’s low-code environment lets your users transform and model their data within Fabric, making data preparation for analysis easy.

Analytics 52

Analytics Management Reporting Enterprise 52