Cloudera

SEPTEMBER 29, 2020

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. . Cloudera Data Warehouse vs HDInsight.

Data Warehouse 120

Data Warehouse Metadata Data-driven Machine Learning 120

BizAcuity

APRIL 1, 2023

Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. The BYNET interconnect supports up to 512 nodes.

Optimization 52

Optimization Data Warehouse Management Modeling 52

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 340

Data Science Data Lake Data mining Deep Learning 340

CDW Research Hub

JULY 18, 2022

While many organizations understand the business need for a data and analytics cloud platform , few can quickly modernize their legacy data warehouse due to a lack of skills, resources, and data literacy. Optimizing Snowflake functionality. Overall data architecture and strategy. Workload discovery.

Optimization 87

Optimization Data Lake Data Warehouse Manufacturing 87

BizAcuity

SEPTEMBER 22, 2022

Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. Not being an agile cloud data warehouse.

Optimization 52

Optimization Data Warehouse Management Modeling 52

Cloudera

DECEMBER 11, 2020

In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 Cloudera Data Warehouse vs EMR. Learn more about Cloudera Data Warehouse on CDP. Issues with EMR 6.1.0.

Data Warehouse 110

Data Warehouse Metadata Machine Learning Measurement 110

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

Cloudera

DECEMBER 21, 2023

How long would it take you to find the data you need to even begin to come up with a data-driven response? Some are returning errors that are difficult to find—and if you’re missing KPIs you have to fix, optimize, and measure every bit of code, which can take a considerable amount of time and trial and error. What do they mean?

Optimization 67

Optimization Sales Data Warehouse Measurement 67

Cloudera

FEBRUARY 9, 2021

This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability. The Cost-Effective Data Warehouse Architecture. Separate Ingestion from Analysis. One of the key tenets of CDP is separation. Low Maintenance.

Data Warehouse 72

Data Warehouse Cost-Benefit Metadata Management 72

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. The advantage of using this option is that your writes can be much quicker as you are not rewriting an entire data file.

Strategy 59

Strategy Optimization Snapshot Metadata 59

Cloudera

DECEMBER 20, 2022

Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making. With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. All of this introduces a new issue: grid management.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

Cloudera

SEPTEMBER 24, 2020

Some of the most powerful results come from combining complementary superpowers, and the “dynamic duo” of Apache Hive LLAP and Apache Impala, both included in Cloudera Data Warehouse , is further evidence of this. Both Impala and Hive can operate at an unprecedented and massive scale, with many petabytes of data.

Data Warehouse 71

Data Warehouse Metadata Interactive Dashboards 71

AWS Big Data

MAY 20, 2024

Whether you are new to Apache Iceberg on AWS or already running production workloads on AWS, this comprehensive technical guide offers detailed guidance on foundational concepts to advanced optimizations to build your transactional data lake with Apache Iceberg on AWS.

Data Lake 99

Data Lake Cost-Benefit Big Data Data Warehouse 99

Cloudera

SEPTEMBER 10, 2018

Among the many reasons that a majority of large enterprises have adopted Cloudera Data Warehouse as their modern analytic platform of choice is the incredible ecosystem of partners that have emerged over recent years. Informatica’s Big Data Manager and Qlik’s acquisition of Podium Data are just 2 examples.

Data Warehouse 43

Data Warehouse Unstructured Data Internet of Things Enterprise 43

Cloudera

SEPTEMBER 17, 2018

This puts new pressures on the people working behind the scenes to prepare and serve data in a consumable way to a growing audience with various levels of access credentials and technical expertise. Consider the following: More data types to be queried, but increasingly the data resides in separate silos.

Data Warehouse 53

Data Warehouse Optimization Visualization Unstructured Data 53

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. That being said, it seems like we’re in the midst of a data analysis crisis.

IT 317

IT Statistics KPI Data-driven 317

BI-Survey

NOVEMBER 19, 2018

S mall companies are more likely than large or mid-sized companies to implement BI tools and data warehouses in the cloud. This makes sense because many small companies may not have a legacy BI/data warehouse environment and internal data center or the IT staff that can build something in-house.

Data Warehouse 66

Data Warehouse Reporting Risk Optimization 66

BizAcuity

JULY 13, 2021

Fraud Detection: AI records the data of users and their gambling activities and collectively determines cheating methods by flagging its suspicious occurrence and therefore, suspending accounts for further investigation. Data Enrichment/Data Warehouse Layer. Data Analytics Layer. Data Visualization Layer.

Optimization 52

Optimization Marketing Analytics Data Warehouse 52

AWS Big Data

APRIL 10, 2024

When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics. Choose a suitable instance size (the default is db.r5.2xlarge ).

Data Warehouse 92

Data Warehouse Analytics Metrics Snapshot 92

DataKitchen

AUGUST 19, 2021

We’ve covered the basic ideas behind data mesh and some of the difficulties that must be managed. Below is a discussion of a data mesh implementation in the pharmaceutical space. DataKitchen has extensive experience using the data mesh design pattern with pharmaceutical company data. . The new Recipes run, and BOOM!

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

CIO Business Intelligence

JUNE 12, 2024

Centered on Microsoft Azure for its cloud needs, UK Power Networks will retain on-prem systems in two data centers to store highly secure, sensitive data and services that are vulnerable to cyberattacks, says CIO Matt Webb, who has been with the power company for 15 years.

Digital Transformation 109

Digital Transformation Cost-Benefit Forecasting Marketing 109

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

AWS Big Data

FEBRUARY 1, 2024

Trade quality and optimization – In order to monitor and optimize trade quality, you need to continually evaluate market characteristics such as volume, direction, market depth, fill rate, and other benchmarks related to the completion of trades. This will be your OLTP data store for transactional data. version cluster.

Data Warehouse 123

Data Warehouse Dashboards Risk Management Risk 123

Cloudera

OCTOBER 4, 2023

Fast moving data and real time analysis present us with some amazing opportunities. Every organization has some data that happens in real time, whether it is understanding what our users are doing on our websites or watching our systems and equipment as they perform mission critical tasks for us. Don’t blink — or you’ll miss it!

Data Warehouse 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

Timo Elliott

JANUARY 3, 2022

It’s stored in corporate data warehouses, data lakes, and a myriad of other locations – and while some of it is put to good use, it’s estimated that around 73% of this data remains unexplored. So how can organizations find data in their own universes? Every data point stored has potential value.

IT 143

IT Unstructured Data Data Quality Machine Learning 143

Smart Data Collective

JUNE 15, 2021

MB of data per second , and with each click, swipe, view, purchase, and shipment, your business collects more information on its customers that you can use to help manage your business more efficiently and drive more revenue. 4 – Upgrade your data warehouse. 4 – Upgrade your data warehouse.

Data Warehouse 95

Data Warehouse Dashboards Optimization Metrics 95

AWS Big Data

NOVEMBER 10, 2023

Apache Spark is a widely-used open source distributed processing system renowned for handling large-scale data workloads. Amazon Redshift offers seamless integration with Apache Spark, allowing you to easily access your Redshift data on both Amazon Redshift provisioned clusters and Amazon Redshift Serverless.

Data Processing 93

Data Processing Data Lake Data Warehouse Optimization 93

CIO Business Intelligence

JULY 18, 2022

We have to make sure we have the processes, the tools, and the teams aligned to make sure they’re optimized, to make sure they’re secure, and to make sure that we have the right digital footprint to coordinate all those efforts.”. As a result, technology solutions, standards, and versions vary across the member food banks.

Data Warehouse 136

Data Warehouse Dashboards Reporting Manufacturing 136

BizAcuity

NOVEMBER 22, 2022

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

IBM Big Data Hub

OCTOBER 1, 2018

It also runs on market-leading IBM Big Data Servers and IBM FlashSystem 900 storage arrays enabling a high-performance system optimized for business insight as well as advanced operational and in-database analytics.

Data Warehouse 72

Data Warehouse Machine Learning Big Data Optimization 72

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 92

Data Warehouse Data-driven Machine Learning B2B 92

Analytics Vidhya

JULY 20, 2022

This article was published as a part of the Data Science Blogathon. Introduction Data acclimates to countless shapes and sizes to complete its journey from a source to a destination. Before designing an ETL job, choosing optimal, performant, and cost-efficient tools […].

Data Science 353

Data Science Optimization Publishing Analytics 353

AWS Big Data

MAY 17, 2023

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20. million at the end of 2022.

Data Warehouse 112

Data Warehouse Cost-Benefit Sales Data-driven 112

CIO Business Intelligence

MAY 23, 2024

More recently, products have become increasingly digital, with software that manages patient flows, tools for surgery planning, and sterile management processes that optimize inventory and ensure that surgical instruments are delivered at the right time to the right place.

Digital Transformation 108

Digital Transformation Measurement Cost-Benefit Data Warehouse 108

Jedox

APRIL 8, 2021

It also needs to be based on insights from data. Effective decision-making must be based on data analysis, decisions (planning) and the execution and evaluation of the decisions and its impact (forecasting). Modern organizations of all types collect data. Data is unlikely to be useful without a proper process to obtain insights.

Business Intelligence 89

Business Intelligence IT Forecasting Data Warehouse 89

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Every organization needs data to make many decisions.

Interactive 114

Interactive Unstructured Data Analytics Data Warehouse 114