CIO Business Intelligence

JUNE 23, 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 98

Data Lake Data Warehouse Machine Learning Cost-Benefit 98

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 89

Data Lake Data Warehouse Machine Learning Cost-Benefit 89

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 246

Data Warehouse Data Lake Manufacturing Testing 246

CIO Business Intelligence

JULY 24, 2022

He announced his departure on LinkedIn and reflected on some of the achievements during the five years with the department which included building an advanced data analytics platforms utilising data warehouse, a data lake, data science containers and supporting visualisation tools. IT Leadership

IT 98

IT Data Lake Digital Transformation Data Warehouse 98

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.

Testing 246

Testing Data Lake Metadata Publishing 246

DataKitchen

JANUARY 3, 2022

A DataOps process hub offers a way for business analytics teams to cope with fast-paced requirements without expanding staff or sacrificing quality. Analytics Hub and Spoke. The data analytics function in large enterprises is generally distributed across departments and roles. DataOps Process Hub.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

CDW Research Hub

JULY 27, 2021

Reduce the total cost of ownership of the data infrastructure. Build the foundation for a logical data warehouse or logical data lake. Maintain one consistent business data model across all consumers and reporting tools. Reuse analytical objects across multiple tools and consuming applications.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

Cloudera

JANUARY 18, 2022

With a solution based on Cloudera Data Science Workbench (CDSW), the bank implemented a more streamlined loan approval process that reduced processing time from a week to just hours. As a result of this innovative data solution, the company helped customers while keeping its default rate low. .

Data Lake 91

Data Lake Digital Transformation Data-driven Dashboards 91

AWS Big Data

JUNE 6, 2023

Unless, of course, the rest of their data also resides in the Google Cloud. In this post we showcase how we used AWS Glue to move siloed digital analytics data, with inconsistent arrival times, to AWS S3 (our Data Lake) and our central data warehouse (DWH), Snowflake.

Analytics 55

Analytics Data Lake Testing Optimization 55

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 69

Data Lake Testing Snapshot Sales 69

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Andrew White

DECEMBER 9, 2019

Scope could be: Data (i.e. Information (processed data). Analytic (the analytics itself). Records (files, or what you might all unstructured data). Analytical stewardship is a missing link in analytics, BI and data science. Images (i.e. Events or transactions.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

Cloudera

JANUARY 24, 2022

The company used Cloudera Data Science Workbench to create data-centric applications and solutions. Working with Cloudera, Keck created a data lake that eliminated manual data collection errors and gave visibility organization-wide. It has recently added more than 325,000 new donors to its database.

Data Lake 64

Data Lake Risk Machine Learning Data Collection 64

AWS Big Data

JUNE 20, 2023

Apache Iceberg is an open table format for very large analytic datasets. It manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. Mikhail specializes in data analytics services.

Data Lake 71

Data Lake Data Science Recreation/Entertainment Experimentation 71

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: optimizing healthcare processes to save lives, data analysis for emergency resource management, building smarter cities with data science, using data and analytics to fight climate change, tackle the food crisis or prioritize actions against poverty, and more.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

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. VP Data and Analytics 1.

IT 52

IT Data Lake Strategy Data Science 52

AWS Big Data

APRIL 18, 2024

The Salesforce Trust Intelligence Platform (TIP) log platform team is responsible for data pipeline and data lake infrastructure, providing log ingestion, normalization, persistence, search, and detection capability to ensure Salesforce is safe from threat actors. This is the bronze layer of the TIP data lake.

Optimization 85

Optimization Data Lake Management Key Performance Indicator 85

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

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 92

Data Lake Sales Management Testing 92

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 90

Data Warehouse Data Lake Analytics Data Science 90

Sisense

JUNE 12, 2019

For all the people in the data, or should I say “Python” business, it’s a long way from the development environment (e.g. The operational data science pipeline should be able to ingest new data hand in hand with the continuous support of model improvement which keeps the production system stable.

Analytics 75

Analytics Data-driven Dashboards IoT 75

CIO Business Intelligence

JUNE 29, 2022

And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done. For many enterprises, Microsoft Azure has become a central hub for analytics. Azure Data Explorer. Azure Data Lake Analytics.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

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 246

Data-driven Data Governance Big Data Data Science 246

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

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

AWS Big Data

NOVEMBER 8, 2023

This post was co-written with Rajiv Arora, Director of Data Science Platform at Gilead Life Sciences. Gilead Sciences, Inc. Create a data lake external schema and table in Redshift Serverless. You can query data lake tables directly from Amazon Redshift Query Editor v2 or your favorite SQL editors.

Data Lake 74

Data Lake Data Warehouse Cost-Benefit Optimization 74

IBM Big Data Hub

OCTOBER 4, 2023

Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics. from 2022 to 2026.

Data Lake 86

Data Lake Metadata Cost-Benefit Data Warehouse 86

Cloudera

JULY 9, 2018

Most organizations struggle to unlock data science in the enterprise. To that end, Cloudera offers the Data Science Workbench, a collaborative, scalable, and highly extensible platform for data exploration, analysis, modeling, and visualization. That friction is what defines the new data science iron triangle.

Machine Learning 41

Machine Learning Data Science Testing Business Intelligence 41

CIO Business Intelligence

MAY 24, 2022

Organisations have to contend with legacy data and increasing volumes of data spread across multiple silos. To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. Oil and Gas.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

AWS Big Data

APRIL 26, 2024

IAM Identity Center now supports trusted identity propagation , a streamlined experience for users who require access to data with AWS analytics services. On the Lake Formation console, choose Data lake permissions under Permissions in the navigation pane. Select Named Data Catalog resources. Choose Grant.

Analytics 83

Analytics Data Lake Management Enterprise 83

Data Virtualization

FEBRUARY 17, 2022

Reading Time: 3 minutes Data is at the center of every company. The post What is Data Virtualization? Understanding the Concept and its Advantages appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. However, every day, companies generate.

IT 82

IT Data Integration Management Data Lake 82

Alation

JULY 19, 2022

As they attempt to put machine learning models into production, data science teams encounter many of the same hurdles that plagued data analytics teams in years past: Finding trusted, valuable data is time-consuming. Obstacles, such as user roles, permissions, and approval request prevent speedy data access.

Metadata 59

Metadata Data Quality Statistics Data Science 59

AWS Big Data

JUNE 7, 2023

Cargotec captures terabytes of IoT telemetry data from their machinery operated by numerous customers across the globe. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. In his spare time, he loves to play cricket and badminton.

Metadata 55

Metadata Data Lake Machine Learning Big Data 55

AWS Big Data

MARCH 26, 2024

The AWS modern data architecture shows a way to build a purpose-built, secure, and scalable data platform in the cloud. Learn from this to build querying capabilities across your data lake and the data warehouse. About the Authors Ismail Makhlouf is a Senior Specialist Solutions Architect for Data Analytics at AWS.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67