AWS Big Data

JULY 31, 2023

Customers often use many SQL scripts to select and transform the data in relational databases hosted either in an on-premises environment or on AWS and use custom workflows to manage their ETL. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand. Choose Save changes. Choose Confirm.

Sales 52

Sales Data Warehouse Visualization Testing 52

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. A metric to evaluate timeliness is the data time-to-value. date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

Sisense

OCTOBER 6, 2020

And, as industrial, business, domestic, and personal Internet of Things devices become increasingly intelligent, they communicate with each other and share data to help calibrate performance and maximize efficiency. The result, as Sisense CEO Amir Orad wrote , is that every company is now a data company.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

DataKitchen

APRIL 13, 2021

Testing and Data Observability. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Genie — Distributed big data orchestration service by Netflix.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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. Amazon Redshift is straightforward to use with self-tuning and self-optimizing capabilities. Fault tolerance is built in. Create the S3 bucket and folder.

Analytics 92

Analytics Data Warehouse Testing Dashboards 92

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

IBM Big Data Hub

APRIL 8, 2024

Answer : Along with standard RDS features, Amazon RDS for Db2 supports key Db2 features, such as row and column organized tables for mixed and analytic workloads, the Adaptive Workload Optimizer to for better resource management, and rules-based access controls for advanced data protection.   17.

Snapshot 75

Snapshot Data Warehouse Data Processing Management 75

Occam's Razor

APRIL 25, 2011

This latter category contains things that are so obviously sub-optimal that no one should be doing them any more. Sophisticated Search Engine Optimization is mandatory in our world of Bing / Yandex / Baidu / Google. Making website iterations based on executive opinions, but not site testing. Yet there they are.

Marketing 126

Marketing Measurement Metrics Testing 126

AWS Big Data

OCTOBER 20, 2023

The connectors were only able to reference hostnames in the connector configuration or plugin that are publicly resolvable and couldn’t resolve private hostnames defined in either a private hosted zone or use DNS servers in another customer network. Many customers ensure that their internal DNS applications are not publicly resolvable.

Data Processing 83

Data Processing Snapshot Data Warehouse Management 83

AWS Big Data

NOVEMBER 8, 2023

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline. This data volume is expected to increase monthly and is fully refreshed each month.

Data Lake 72

Data Lake Data Warehouse Cost-Benefit Optimization 72

Occam's Razor

SEPTEMBER 9, 2013

One of the key things we are going to learn today is to align our metrics and dimensions optimally to ensure we report good, clean, sensible data. This is how you would create that cohort in Google Analytics… Quick Tip: I love the Test button when I'm creating segments. Prologue: Visitors, (Visits) Sessions, Hits.

Analytics 145

Analytics Metrics Marketing Reporting 145

IBM Big Data Hub

JULY 11, 2023

Data warehouses are a critical component of any organization’s technology ecosystem. The next generation of IBM Db2 Warehouse brings a host of new capabilities that add cloud object storage support with advanced caching to deliver 4x faster query performance than previously, while cutting storage costs by 34x 1.

Data Warehouse 51

Data Warehouse Testing Sales Dashboards 51

Cloudera

AUGUST 31, 2020

Given the prohibitive cost of scaling it, in addition to the new business focus on data science and the need to leverage public cloud services to support future growth and capability roadmap, SMG decided to migrate from the legacy data warehouse to Cloudera’s solution using Hive LLAP. The case for a new Data Warehouse?

Slice and Dice 63

Slice and Dice Management Data Warehouse Analytics 63

IBM Big Data Hub

JULY 17, 2023

.” Sean Im, CEO, Samsung SDS America “In the field of generative AI and foundation models, watsonx is a platform that will enable us to meet our customers’ requirements in terms of optimization and security, while allowing them to benefit from the dynamism and innovations of the open-source community.”

Machine Learning 66

Machine Learning Data Warehouse Modeling Cost-Benefit 66

AWS Big Data

MARCH 9, 2023

Thousands of customers rely on Amazon Redshift to build data warehouses to accelerate time to insights with fast, simple, and secure analytics at scale and analyze data from terabytes to petabytes by running complex analytical queries. Data loading is one of the key aspects of maintaining a data warehouse.

Slice and Dice 77

Slice and Dice Data Warehouse Metrics Metadata 77

datapine

JULY 1, 2020

Moreover, a host of ad hoc analysis or reporting platforms boast integrated online data visualization tools to help enhance the data exploration process. In retail, it’s important to regularly track the sales volumes in order to optimize the overall performance of the online shop or physical stores.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

AWS Big Data

MAY 30, 2023

A host with the installed MySQL utility, such as an Amazon Elastic Compute Cloud (Amazon EC2) instance, AWS Cloud9 , your laptop, and so on. The host is used to access an Amazon Aurora MySQL-Compatible Edition cluster that you create and to run a Python script that sends sample records to the Kinesis data stream.

Data Lake 76

Data Lake Data Analytics Analytics Data Processing 76

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 105

Management Advertising Data Lake Sales 105

IBM Big Data Hub

MARCH 25, 2022

One of the key challenges in distributed scale-out databases included how to deploy many hosts built with high availability and elasticity while keeping the familiar SQL interface. The customer also attempted to run it in a data warehouse, which wasn’t good at low latency streaming data ingestion and low latency query support.

Data-driven 74

Data-driven Data Warehouse Data Processing Marketing 74

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 144

Management Advertising Data Lake Sales 144

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

Occam's Razor

DECEMBER 3, 2008

And still rare but sometimes: Manager, Web Analytics Data Warehouse (Steven I did not forget you!). Some companies have inhouse (hosted) solutions (javascript tag based or log file based). Group Manager, Analytics & Optimization. Roles in this category would include: Manager, Analytics Implementation.

Analytics 115

Analytics Consulting Metrics Reporting 115

Alation

FEBRUARY 8, 2022

Some argue that data governance and quality practices may vary between domains. Duplication of data, too, may become a problem, as siloed patterns emerge unique to the domains that host them. Principle #2: Data as a product. Thus far, we’ve borrowed language from the world of economics to describe the challenge at hand.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

AWS Big Data

NOVEMBER 8, 2023

Join us as we delve into the world of real-time streaming data at re:Invent 2023 and discover how you can use real-time streaming data to build new use cases, optimize existing projects and processes, and reimagine what’s possible. High-quality data is not just about accuracy; it’s also about timeliness.

Data-driven 85

Data-driven Data Lake Machine Learning Cost-Benefit 85

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 85

Data Lake Data Warehouse Data-driven B2B 85

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. See recorded webinars: Emerging Practices for a Data-driven Strategy. Link Data to Business Outcomes.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

OCTOBER 31, 2023

Based on performance benchmarks that tested a variety of commonly used report-types with different data sizes (up to 1 million rows), Jet Reports 23.3 These methods not only improve the performance of Jet Reports, but also reduce the load on your data sources and network. Jet Reports 23.3 How Fast Is Jet Reports 23.3?

Reporting 52

Reporting Data Processing Dashboards Optimization 52

Jet Global

JUNE 5, 2023

What will help you succeed during these testing times is relying on a single source of truth. By doing so, you’ll be able to optimize your tax technology and processes so you can both spot data insights and mitigate risk. Here are three ways using a single source of truth will help you with the coming crunch of tax compliance.

Reporting 52

Reporting Forecasting Software Finance 52

Jet Global

FEBRUARY 23, 2024

Data sources are crucial for reporting, analyzing, and acting on transactional and corporate data and connecting these sources in real time with various tools like connectors, ETL tools, mashups, Web services, and data source-neutral BI solutions is essential. Data warehouses can be complex, time-consuming, and expensive.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. Reports In formats that are both static and interactive, these showcase tabular views of data. Do what you expect your customers to do.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52