AWS Big Data

JUNE 21, 2023

These types of queries are suited for a data warehouse. The goal of a data warehouse is to enable businesses to analyze their data fast; this is important because it means they are able to gain valuable insights in a timely manner. Amazon Redshift is fully managed, scalable, cloud data warehouse.

Data Warehouse 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

AWS Big Data

JANUARY 31, 2023

In this post, we are excited to summarize the features that the AWS Glue Data Catalog, AWS Glue crawler, and Lake Formation teams delivered in 2022. Whether you are a data platform builder, data engineer, data scientist, or any technology leader interested in data lake solutions, this post is for you.

Data Lake 98

Data Lake Data Governance Data Architecture Machine Learning 98

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. Iceberg basics Iceberg is an open table format designed for large analytic workloads.

Data Warehouse 82

Data Warehouse Snapshot Metadata Cost-Benefit 82

Timo Elliott

MAY 27, 2022

For the longest time, in order to do any analytics, we had to take the data to the technology — rip it out of the business applications and move it to a data warehouse or a data lake, or a data lakehouse. And there’s been a big change in technology that is supporting all this.

Data Analytics 124

Data Analytics Analytics Recreation/Entertainment Data Lake 124

CDW Research Hub

JULY 22, 2022

The Sirius Data & Analytics Consulting team recently attended Snowflake Summit 2022 in Las Vegas; the first time the annual conference has been held in person since 2019. Whether it was due to being in a room full of data enthusiasts or the magic of Las Vegas, the energy matched the larger attendance and venue.

Data Lake 84

Data Lake Data Governance Machine Learning Consulting 84

DataKitchen

DECEMBER 7, 2021

Data Mesh: Delivering Data-Driven Value at Scale , by Zhamak Dehghani. 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.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Cloudera

DECEMBER 16, 2022

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Cloudera has long had the capabilities of a data lakehouse, if not the label. Get an introduction to the latest version of Cloudera’s Data Platform. and/or its affiliates in the U.S.

Management 92

Management Metadata Machine Learning Data Lake 92

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

CIO Business Intelligence

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

Smart Data Collective

MAY 31, 2022

Data activation is a new and exciting way that businesses can think of their data. It’s more than just data that provides the information necessary to make wise, data-driven decisions. It’s more than just allowing access to data warehouses that were becoming dangerously close to data silos.

Data Warehouse 142

Data Warehouse Big Data Data-driven Technology 142

datapine

SEPTEMBER 27, 2022

Originally published in 2018, the book has a second edition that was released in January of 2022. The new version includes details on the latest SQL features such as techniques for wrangling data, as well as two new chapters, one dedicated to setting up your own system, and another for using PostgreSQL and JSON. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

BI-Survey

JANUARY 15, 2023

Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. Therefore, it is not clear why the costly and apparently flexibility-inhibiting data warehouse is needed at all. The limiting factor is rather the data landscape.

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

CIO Business Intelligence

OCTOBER 7, 2022

BI analysts, with an average salary of $71,493 according to PayScale , provide application analysis and data modeling design for centralized data warehouses and extract data from databases and data warehouses for reporting, among other tasks. BI encompasses numerous roles.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

DataRobot

JANUARY 20, 2022

The UK Government Health and Care Bill sets up Integrated Care Systems (ICSs) as legal entities from July 2022. The following is a summary list of the key data-related priorities facing ICSs during 2022 and how we believe the combined Snowflake & DataRobot AI Cloud Platform stack can empower the ICS teams to deliver on these priorities.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

Smart Data Collective

OCTOBER 17, 2022

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

Data Warehouse 145

Data Warehouse Data Lake Visualization Big Data 145

AWS Big Data

MAY 17, 2023

million at the end of 2022. As Peloton’s business continued to evolve amid a changing macroeconomic environment, it was essential that it could make smart business decisions quickly, and one of the best ways to do that was to harness insights from the huge amount of data that it had been gathering over recent years.

Data Warehouse 126

Data Warehouse Cost-Benefit Sales Data-driven 126

CIO Business Intelligence

OCTOBER 13, 2023

Data architect Armando Vázquez identifies eight common types of data architects: Enterprise data architect: These data architects oversee an organization’s overall data architecture, defining data architecture strategy and designing and implementing architectures. Are data architects in demand?

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 101

Data Warehouse Cost-Benefit KPI Risk 101

AWS Big Data

JULY 27, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse.

Data Warehouse 98

Data Warehouse Analytics Metadata Dashboards 98

CIO Business Intelligence

JUNE 23, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data Lake 98

Data Lake Data Warehouse Machine Learning Data-driven 98

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data Lake 94

Data Lake Data Warehouse Machine Learning Data-driven 94

Cloudera

AUGUST 8, 2022

In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ).

Snapshot 94

Snapshot Data Warehouse Machine Learning Cost-Benefit 94

AWS Big Data

MARCH 20, 2024

To run analytics on your operational data, you might build a solution that is a combination of a database, a data warehouse, and an extract, transform, and load (ETL) pipeline. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 133

Data Warehouse Business Driver Data-driven Data Lake 133

KDnuggets

FEBRUARY 3, 2022

This tutorial provides only a brief synopsis of the data warehouse in Snowflake, which we will go through in more detail.

Data Warehouse 120

Data Warehouse Analytics 120

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

erwin

APRIL 27, 2022

Please help us keep our #1 position in 2022. In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. 2022 DBTA Reader’s Choice Awards appeared first on erwin Expert Blog. We need your help! It’s voting time again.

Data Governance 52

Data Governance Data Warehouse Metadata Digital Transformation 52

AWS Big Data

AUGUST 9, 2024

Dafiti’s data infrastructure relies heavily on ETL and ELT processes, with approximately 2,500 unique processes run daily. Amazon Redshift at Dafiti Amazon Redshift is a fully managed data warehouse service, and was adopted by Dafiti in 2017. Do you want to know more about what we’re doing in the data area at Dafiti?

Data Lake 111

Data Lake Analytics Data Warehouse Data-driven 111

AWS Big Data

JUNE 28, 2023

Amazon Aurora zero-ETL integration with Amazon Redshift was announced at AWS re:Invent 2022 and is now available in public preview for Amazon Aurora MySQL-Compatible Edition 3 (compatible with MySQL 8.0) For this illustration, we use a provisioned Aurora database and an Amazon Redshift Serverless data warehouse.

Data Warehouse 105

Data Warehouse Analytics Metrics Dashboards 105

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 115

Data Lake Data Warehouse Data-driven B2B 115

AWS Big Data

OCTOBER 17, 2024

Enable case sensitivity for the target Redshift data warehouse. Choose your target Redshift data warehouse. In this post, we demonstrate using the console. Prerequisites Complete the following prerequisite steps: Enable point-in-time recovery (PITR) on the DynamoDB table. Review the changes and choose Continue.

Metrics 115

Metrics Dashboards Data Warehouse Statistics 115

Cloudera

JULY 11, 2022

Their most recent evaluation, Forrester Wave : Enterprise Data Fabric, Q2 2022, came out on June 23, 2022 and ranked Cloudera as a strong performer. Forrester Research identified the paradigm and coined the term in 2006. Since then, they have conducted regular market analyses and rankings of vendors.

Data Architecture 107

Data Architecture Data-driven Data Warehouse Cost-Benefit 107

Jet Global

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. Discover Meaning Amid All That Data. Analytics are a hot topic for 2022, and for good reason. The Future Is Now.

Business Intelligence 52

Business Intelligence OLAP Sales Data Warehouse 52

CIO Business Intelligence

MARCH 22, 2024

IBM said it would move to Rise in May 2022 while Microsoft gave a progress report on its own Rise migration in March that year. That’s just as well because despite Deutsche Telekom’s previous work on standardization, not all the applications it is moving to Rise are currently running on S/4HANA. Some of them are still running on ECC 6.0,

Data Processing 105

Data Processing Data Warehouse Management Reporting 105

IBM Big Data Hub

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? from 2022 to 2026. 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.

Data Lake 77

Data Lake Metadata Data Warehouse Cost-Benefit 77

CIO Business Intelligence

DECEMBER 19, 2022

We have ensured that all our data is generated and stored in a single place in a manner such that anybody can consume and use it. We have mandated that any new microservices or applications will not be put into production if they are not pushing the required data elements into the data warehouse.

Data Warehouse 116

Data Warehouse Machine Learning Finance Technology 116

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 122

Data Lake Management Metrics Data Warehouse 122

CIO Business Intelligence

OCTOBER 13, 2022

The airline also sought to provide analysts with finer data access controls so they could be more analytical and creative when driving revenue management decisions. Working with AWS and IBM, United created and scaled a data warehouse using Amazon Redshift, an off-the-shelf service that manages terabytes of data with ease.

Insurance 115

Insurance Data Warehouse Manufacturing Forecasting 115