AWS Big Data

MARCH 25, 2024

For example, in a chatbot, data events could pertain to an inventory of flights and hotels or price changes that are constantly ingested to a streaming storage engine. Furthermore, data events are filtered, enriched, and transformed to a consumable format using a stream processor.

Data Lake 91

Data Lake Unstructured Data Management Modeling 91

AWS Big Data

JUNE 23, 2023

Imperva Cloud WAF protects hundreds of thousands of websites and blocks billions of security events every day. Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes.

Data Lake 68

Data Lake Cost-Benefit Dashboards Data Warehouse 68

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. ExampleCorp has multiple Redshift clusters.

Management 96

Management Data Warehouse Metrics Dashboards 96

datapine

SEPTEMBER 29, 2022

Paired to this, it can also: Improved decision-making process: From customer relationship management, to supply chain management , to enterprise resource planning, the benefits of effective DQM can have a ripple impact on an organization’s performance. Industry-wide, the positive ROI on quality data is well understood. 1 – The people.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Timo Elliott

MARCH 6, 2023

He explains that automation and innovation have become critical as the world experiences supply chain disruptions, inflation, extreme weather events, worker shortages, and uncertainty. He also mentions ASR Group using machine learning to optimize routes for sugar delivery to their 600 customers, reducing logistics costs.

Machine Learning 111

Machine Learning Cost-Benefit Uncertainty ROI 111

CDW Research Hub

JULY 2, 2021

This provides near-real-time data activity monitoring and protection capabilities for Database as a Service (DBaaS) sources, such as AWS Kinesis and Azure Event Hubs. GDP is a leading data security platform for databases and data warehouses. Automated workflows and long-term data storage. Advanced analytics.

Cost-Benefit 52

Cost-Benefit Digital Transformation Data Warehouse Risk 52

IBM Big Data Hub

OCTOBER 16, 2023

Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data. In addition to natural language, models are trained on various modalities, such as code, time-series, tabular, geospatial and IT events data.

Risk 78

Risk Modeling Management Metadata 78

IBM Big Data Hub

NOVEMBER 8, 2023

TL2 — building on Power10’s high availability leadership with performance and scale enhancements to Live Kernel Update (designed to give the ability to update AIX without unplanned downtime), optimized file system performance and enhancements designed to improve AIX encryption performance and audit event checking.

Strategy 100

Strategy Cost-Benefit Data-driven Digital Transformation 100

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. As the cost benefit ratio of BI has become more and more attractive, the pace of global business has also accelerated.

Business Intelligence 52

Business Intelligence Sales OLAP Data Warehouse 52

AWS Big Data

JANUARY 17, 2024

Transaction data lake use case Amazon EMR customers often use Open Table Formats to support their ACID transaction and time travel needs in a data lake. Another popular transaction data lake use case is incremental query. Also, the rows from HONG KONG have been filtered.

Data Lake 94

Data Lake Snapshot Big Data Data-driven 94

AWS Big Data

MAY 16, 2024

As technology continues to evolve, one specific facet of this journey is reaching unprecedented proportions: geospatial data. Because of this, many organizations are utilizing them as a support geography, aggregating their data to these grids to optimize both their storage and analysis.

Data Warehouse 89

Data Warehouse Visualization Cost-Benefit Optimization 89

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 68

Data Warehouse Cost-Benefit KPI Risk 68

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 92

Data Warehouse Data Lake Analytics Data Science 92

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. The decoupled compute and storage architecture of Amazon Redshift enables you to build highly scalable, resilient, and cost-effective workloads.

Analytics 97

Analytics Data Warehouse Testing Dashboards 97

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

Data Warehouse 91

Data Warehouse Optimization Dashboards Interactive 91

IBM Big Data Hub

MAY 9, 2023

For AI to be truly transformative, as many people as possible should have access to its benefits. is not just for data scientists and developers — business users can also access it via an easy-to-use interface that responds to natural language prompts for different tasks. Trust is one part of the equation. The second is access.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

IBM Big Data Hub

SEPTEMBER 27, 2023

The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives and low-risk events, just to name a few. The average cost of a data breach set a new record in 2023 of USD 4.45

Cost-Benefit 105

Cost-Benefit OLAP Dashboards Visualization 105

Cloudera

JUNE 17, 2022

In the second blog of the Universal Data Distribution blog series , we explored how Cloudera DataFlow for the Public Cloud (CDF-PC) can help you implement use cases like data lakehouse and data warehouse ingest, cybersecurity, and log optimization, as well as IoT and streaming data collection.

Cost-Benefit 89

Cost-Benefit IoT Data Warehouse Manufacturing 89

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model? What is a data vault?

Data Warehouse 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks. you name it.

Data Warehouse 41

Data Warehouse Marketing Big Data Data Lake 41

AWS Big Data

OCTOBER 4, 2023

Then we explain the benefits of Amazon DataZone and walk you through key features. Data governance – Constructs to govern data are hidden within individual tools and managed differently by different teams, preventing organizations from having traceability on who’s accessing what and why.

Metadata 101

Metadata Data Lake Publishing Data Governance 101

Cloudera

MAY 13, 2021

WM simplifies troubleshooting failed jobs and optimizing slow jobs. Suggesting workloads that should move to public cloud and understanding the public cloud costs. In this blog, we walk through the Impala workloads analysis in iEDH, Cloudera’s own Enterprise Data Warehouse (EDW) implementation on CDH clusters.

Management 69

Management Data Warehouse Interactive Reporting 69

AWS Big Data

MARCH 26, 2024

You can subscribe to data products that help enrich customer profiles, for example demographics data, advertising data, and financial markets data. Amazon Kinesis ingests streaming events in real time from point-of-sales systems, clickstream data from mobile apps and websites, and social media data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Cloudera

AUGUST 20, 2021

Analytical Outcome: CDP delivers multiple analytical outcomes including, to name a few, operational dashboards via the CDP Operational Database experience or ad-hoc analytics via the CDP Data Warehouse to help surface insights related to a business domain. ultimately reducing operational costs to manage the platform.

Strategy 94

Strategy Cost-Benefit Visualization Data Warehouse 94

Insight

MAY 20, 2020

Then you could weigh that against the benefits and drawbacks (e.g., Keep in mind the Spark DataFrame API and Spark SQL calls use an underlying execution engine that includes optimizations not available if you were to use Spark’s native Resilient Distributed Datasets (RDDs). Companies, such as Atlassian , use Athena.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. It definitely depends on the type of data, no one method is always better than the other. That’s the reward.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 114

Data Lake Metadata Optimization Statistics 114

Cloudera

FEBRUARY 8, 2021

The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle. Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment.

Manufacturing 114

Manufacturing Data Warehouse Sales Predictive Analytics 114

IBM Big Data Hub

SEPTEMBER 11, 2023

Forrester’s 2022 Total Economic Impact Report for Data Management highlights the impact Db2 and the IBM data management portfolio is having for customers: Return on investment (ROI) of 241% and payback <6 months. Many consider a NoSQL database essential for high data ingestion rates.

Machine Learning 93

Machine Learning Cost-Benefit IoT Data Warehouse 93

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. We also discuss the benefits Ruparupa gained after the implementation. Let’s look at each main component in more detail.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Occam's Razor

JANUARY 24, 2011

You'll need to look in your corporate data warehouses. I track that click as a Goal (using Event Tracking ). One great benefit: I get detailed reports from Amazon that tell me clicks and conversion rates! Compute conversion for online, identify costs saved due to non-payment of bounty, identify goal value!

Analytics 122

Analytics Finance B2B ROI 122

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

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. To build a SQL query, one must describe the data sources involved and the high-level operations (SELECT, JOIN, WHERE, etc.)

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Sisense

MAY 11, 2021

When it comes to data modeling, function determines form. Let’s say you want to subject a dataset to some form of anomaly detection; your model might take the form of a singular event stream that can be read by an anomaly detection service. This design philosophy was adapted from our friends at Fishtown Analytics.).

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 79

Data Lake Data Analytics Analytics Data Processing 79

AWS Big Data

JUNE 21, 2023

In traditional databases, we would model such applications using a normalized data model (entity-relation diagram). A key pillar of AWS’s modern data strategy is the use of purpose-built data stores for specific use cases to achieve performance, cost, and scale. These types of queries are suited for a data warehouse.

Data Warehouse 80

Data Warehouse Data Lake OLAP Cost-Benefit 80