Cloudera

MAY 17, 2021

Making a decision on a cloud data warehouse is a big deal. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Data Warehouse 90

Data Warehouse Measurement Reporting Testing 90

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

CIO Business Intelligence

JULY 18, 2022

Central to Byrdak’s multi-year transformation plan is the expansion of MealConnect, the first nationally available food rescue and sourcing platform, and a new data warehouse to anchor an analytics offering that helps food banks analyze and visualize their food sourcing and distribution data.

Data Warehouse 141

Data Warehouse Dashboards Reporting Manufacturing 141

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. Try Cloudera Data Warehouse (CDW) by signing up for a 60 day trial , or test drive CDP.

Data Warehouse 82

Data Warehouse Snapshot Metadata Cost-Benefit 82

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

datapine

SEPTEMBER 27, 2022

Our next book is dedicated to anyone who wants to start a career as a data scientist and is looking to get all the knowledge and skills in a way that is accessible and well-structured. 13) “SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights” by Cathy Tanimura. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Cloudera

MAY 12, 2021

And it is with this in mind, that we’re delighted to announce that the 2021 Cloudera Data Impact Awards is now open for entries. The 2021 Cloudera Data Impact Award categories aim to recognize organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift also supports querying nested data with complex data types such as struct, array, and map.

Data Lake 119

Data Lake Data Warehouse Metadata Data Architecture 119

David Menninger's Analyst Perspectives

OCTOBER 31, 2024

It was not until the addition of open table formats— specifically Apache Hudi, Apache Iceberg and Delta Lake—that data lakes truly became capable of supporting multiple business intelligence (BI) projects as well as data science and even operational applications and, in doing so, began to evolve into data lakehouses.

Data Lake 130

Data Lake Unstructured Data Data Warehouse Software 130

Jet Global

DECEMBER 17, 2020

Although these examples come from medicine and science, respectively, data visualization can provide meaningful value in virtually any domain, including business. Let’s look at some key trends in data visualization for 2021. Trend One: Democratization of Data Visualization Tools. Data Visualization Made Easy.

Visualization 72

Visualization Finance Reporting Sales 72

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

AWS Big Data

MAY 17, 2023

In 2020, as gyms shuttered and people looked for ways to stay active from the safety of their homes, the company’s annual revenue soared from $915 million in 2019 to $4 billion in 2021. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis. million at the end of 2022.

Data Warehouse 126

Data Warehouse Cost-Benefit Sales Data-driven 126

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 129

Data Warehouse Analytics Data Lake Machine Learning 129

Cloudera

JANUARY 19, 2022

Cloudera Data Platform (CDP) scored among the top 10 vendors on all four Analytical Use Cases — Data Warehouse, Logical Data Warehouse, Data Lake and Operational Intelligence in the Critical Capabilities for Cloud Database Management Systems for Analytics Use Cases. and/or its affiliates in the U.S.

Reporting 90

Reporting Data Warehouse Data Lake Machine Learning 90

AWS Big Data

DECEMBER 15, 2023

Many companies identify and label PII through manual, time-consuming, and error-prone reviews of their databases, data warehouses and data lakes, thereby rendering their sensitive data unprotected and vulnerable to regulatory penalties and breach incidents. For our solution, we use Amazon Redshift to store the data.

Data Lake 119

Data Lake Data Warehouse Big Data Structured Data 119

Smart Data Collective

JULY 20, 2021

billion in 2021. Top Big Data CRM Integration Tools in 2021: #1 MuleSoft: Mulesoft is a data integration platform owned by Salesforce to accelerate digital customer transformations. This tool is designed to connect various data sources, enterprise applications and perform analytics and ETL processes.

Big Data 142

Big Data Sales Marketing Software 142

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

Sisense

MARCH 30, 2021

In Gartner’s Top 10 Data and Analytics Trends for 2021, trend No. The Sisense Q1 2021 release is focused on bringing customized analytics to each person. With enhanced live model connection parameters, you can now leverage one live data model for multiple customers who use the same schema structure in your data warehouse.

Dashboards 52

Dashboards Machine Learning Data Warehouse Marketing 52

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

Sisense

AUGUST 4, 2021

The Sisense Q2 2021 product release is packed with exciting innovations and enhancements that offer users a more extensible experience when it comes to analytics. Optimize your cloud data warehouse cost forecasting.

Dashboards 52

Dashboards Analytics Data Warehouse Forecasting 52

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

CIO Business Intelligence

JULY 24, 2022

Simon Herbert announced his departure from the New South Wales Department of Customer Service where he was the chief data officer since February 2021, having previously held the role of executive director of data and insights with the department for approximately three years. Simon Herbert departs from NSW Customer Service.

IT 98

IT Data Lake Data Warehouse Digital Transformation 98

datapine

JANUARY 24, 2021

Methods like artificial neural networks (ANN) and autoregressive integrated moving average (ARIMA), time series, seasonal naïve approach, and data mining find wide application in data analytics nowadays. We’ve already explained them and recognized them as one of the biggest business intelligence trends for 2021.

IT 317

IT Statistics KPI Data-driven 317

Cloudera

OCTOBER 18, 2022

Clouderans continuously push for improvements in the system, with the goal of driving up confidence in the data. Trustworthy, reliable data means better questions, and more accurate and predictable outcomes. This brings data directly into the Data Warehouse , which is stored as Parquet into Hive/Impala tables on HDFS.

IT 89

IT Data Warehouse Dashboards Visualization 89

CIO Business Intelligence

MAY 28, 2022

This will enable Informatica to provide a complete view of data governance from data source to data consumption, the company said. The Data Loader can be accessed directly from the Google BigQuery console, providing access to all Google Cloud customers, Informatica and Google said in a joint statement.

Management 105

Management Data Warehouse Strategy Software 105

CIO Business Intelligence

FEBRUARY 24, 2023

Getting there has been easier said than done for Lufthansa, which was among the first airlines to build a data warehouse for its customer data, but much of that technology is now decades old. “We Self-service is now much more important.”

IT 144

IT Digital Transformation Data Warehouse Consulting 144

CIO Business Intelligence

MAY 27, 2022

This will enable Informatica to provide a complete view of data governance from data source to data consumption, the company said. The Data Loader can be accessed directly from the Google BigQuery console, providing access to all Google Cloud customers, Informatica and Google said in a joint statement.

Management 105

Management Data Warehouse Strategy Software 105

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. Create boto3 client for Glue glue_client = boto3.client('glue',

Data Warehouse 126

Data Warehouse Testing Data Quality Reporting 126

Cloudera

MARCH 11, 2021

Data flows are an integral part of every modern enterprise. At Cloudera, we’re helping our customers implement data flows on-premises and in the public cloud using Apache NiFi , a core component of Cloudera DataFlow. In this blog post, I want to share the top three requirements for data flows in 2021 that we hear from our customers.

Data Integration 119

Data Integration Data Warehouse Testing Enterprise 119

IBM Big Data Hub

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. To effectively use raw data, it often needs to be curated within a data warehouse.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

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 95

Data Warehouse Cost-Benefit KPI Risk 95

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

NOVEMBER 29, 2021

That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . In 2021, the finalists under this category include the following organizations from around the world. CARREFOUR SPAIN.

Data Lake 77

Data Lake Data Warehouse Data Architecture Reporting 77

CIO Business Intelligence

OCTOBER 17, 2024

The data factor I joined Liberty Dental about two and a half years ago, and the first big opportunity I saw was data, which was all over the place. We had a kind of small data warehouse on-prem. We created our data model in a way that satisfied the requirements of what we had a vision of.

Management 111

Management Insurance ROI Cost-Benefit 111

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105