IBM Big Data Hub

APRIL 13, 2023

After developing a machine learning model, you need a place to run your model and serve predictions. Someone with the knowledge of SQL and access to a Db2 instance, where the in-database ML feature is enabled, can easily learn to build and use a machine learning model in the database.

Modeling 91

Modeling Statistics Machine Learning Testing 91

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. However, you need to regularly maintain Iceberg tables to keep them in a healthy state so that read queries can perform faster.

Strategy 57

Strategy Optimization Snapshot Metadata 57

AWS Big Data

JULY 31, 2023

Data has become an integral part of most companies, and the complexity of data processing is increasing rapidly with the exponential growth in the amount and variety of data. AWS Glue is a serverless data integration and ETL service with the ability to scale on demand.

Sales 52

Sales Data Warehouse Visualization Testing 52

AWS Big Data

AUGUST 16, 2023

Automated Data Analytics (ADA) on AWS is an AWS solution that enables you to derive meaningful insights from data in a matter of minutes through a simple and intuitive user interface. ADA offers an AWS-native data analytics platform that is ready to use out of the box by data analysts for a variety of use cases.

Data Analytics 72

Data Analytics Analytics Visualization Software 72

AWS Big Data

APRIL 10, 2024

“Data is at the center of every application, process, and business decision. Customers across industries are becoming more data driven and looking to increase revenue, reduce cost, and optimize their business operations by implementing near real time analytics on transactional data, thereby enhancing agility.

Data Warehouse 89

Data Warehouse Analytics Metrics Snapshot 89

AWS Big Data

SEPTEMBER 26, 2023

As the data privacy landscape continues to evolve, companies are increasingly seeking ways to collect and manage data while protecting privacy and intellectual property. AWS Clean Rooms allows companies to collaborate securely with their partners on their collective datasets without sharing or copying one another’s underlying data.

Advertising 75

Advertising Data-driven Marketing Interactive 75

AWS Big Data

MAY 2, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to analyze all your data efficiently and securely. Users such as data analysts, database developers, and data scientists use SQL to analyze their data in Amazon Redshift data warehouses.

Data Warehouse 60

Data Warehouse Software Visualization IoT 60

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 81

Enterprise Data Warehouse Snapshot Cost-Benefit 81

AWS Big Data

JUNE 26, 2023

In today’s digital world, data is generated by a large number of disparate sources and growing at an exponential rate. Companies are faced with the daunting task of ingesting all this data, cleansing it, and using it to provide outstanding customer experience. It’s commonly referred to as a data harmonization or deduplication problem.

Insurance 76

Insurance Visualization Data Lake Metrics 76

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift ML allows data analysts, developers, and data scientists to train machine learning (ML) models using SQL. Redshift ML allows you to create a model using SQL and specify your algorithm, such as XGBoost. Redshift ML allows you to create a model using SQL and specify your algorithm, such as XGBoost.

Modeling 94

Modeling Data Warehouse Machine Learning Recreation/Entertainment 94

AWS Big Data

FEBRUARY 1, 2024

Financial services customers are using data from different sources that originate at different frequencies, which includes real time, batch, and archived datasets. This will be your OLTP data store for transactional data. You will set up zero-ETL integration for ingesting transaction data to the Redshift data warehouse.

Data Warehouse 120

Data Warehouse Dashboards Risk Management Risk 120

AWS Big Data

MARCH 19, 2024

For data engineering workloads when AWS Glue is used in such a constrained network configuration, your team may sometimes face hurdles running many jobs simultaneously. To enable access to data stores inside a VPC, you need to create an AWS Glue connection that is attached to your VPC. 24 in VPC A. 24 in VPC A.

Optimization 85

Optimization Data-driven Management Testing 85

AWS Big Data

JANUARY 24, 2023

Use cases can include the following: Dashboarding – A webpage consisting of tables and charts where each component can offer insights to a specific business department. Data abstraction – Decouple and refactor underlying data structure and infrastructure. The Data API is asynchronous, so you can retrieve your results later.

Analytics 57

Analytics Data-driven Management Reporting 57

Jen Stirrup

MAY 5, 2020

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. How can you differentiate the different opportunities to store your data in Azure? Organizations need to recast storing their data.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

AWS Big Data

MAY 18, 2023

Deriving insight from data is hard. It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. AWS Glue released version 4.0 runtime ( 3.5

Testing 74

Testing Data Lake Cost-Benefit Data Integration 74

AWS Big Data

FEBRUARY 9, 2023

Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications.

Data Warehouse 73

Data Warehouse Data-driven Snapshot Testing 73

AWS Big Data

MARCH 2, 2023

Many organizations are building data lakes to store and analyze large volumes of structured, semi-structured, and unstructured data. In addition, many teams are moving towards a data mesh architecture, which requires them to expose their data sets as easily consumable data products.

Data Lake 72

Data Lake Testing Interactive Unstructured Data 72

Jet Global

OCTOBER 30, 2020

Financial and operational reports retrieve master data and transactional information from your ERP databases using something called “SQL.” Don’t confuse “SQL the language” with “SQL Server,” which is Microsoft’s database engine.) SQL is a near-universal language in the world of software applications.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Alation

NOVEMBER 28, 2022

Alation is excited to unveil Alation Connected Sheets , a new product that brings trusted, fresh data directly to spreadsheet users. Now, “spreadsheet jockeys” can pull the most current, compliant data directly from a range of cloud sources, without having to know SQL or depend on a data team to deliver it.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

Cloudera

SEPTEMBER 17, 2018

SQL development is not a new concept. However, as the data warehousing world shifts into a fast-paced, digital, and agile era, the demands to quickly generate reports and help guide data-driven decisions are constantly increasing. New data types need to be quickly joined with existing data sets.

Data Warehouse 54

Data Warehouse Optimization Visualization Unstructured Data 54

AWS Big Data

FEBRUARY 20, 2024

Previously, customers using Amazon EMR could integrate their clusters with Active Directory by configuring a one-way realm trust between their AD domain and the EMR cluster Kerberos realm. For more details, refer to Tutorial: Configure a cross-realm trust with an Active Directory domain. whenChanged: 20230804094021.0Z

Testing 83

Testing Data Processing Interactive Management 83

Alation

JUNE 20, 2023

After its 2021 acquisition of Heights Finance Corporation, CURO needed to catalog and tag its legacy data while integrating Heights’ data — quickly. Bringing together companies — and their data Alation: For you guys in data, it sounds like the acquisition was the easy part. Then the real work began. Will: Right.

Technology 52

Technology Data Governance Data Warehouse Software 52

FineReport

APRIL 15, 2020

Everyone is now paying attention to the epidemic data of various places. To view the data we are concerned about more efficiently, of course, you have noticed the epidemic screens on various websites. This article will tell you how to make a dashboard of the world epidemic of various data. Download template & data.

Dashboards 98

Dashboards Visualization Publishing Software 98

AWS Big Data

APRIL 26, 2023

In addition, these product dashboards may be forked for customer-specific customization to support a consulting engagement while still consuming from Huron’s productized data assets and datasets. In the next stage of the cycle, Huron’s consultants experiment with new data sources and insights that in turn fed back into the product dashboards.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Alation

FEBRUARY 13, 2020

For the third consecutive year, Alation has been named the top-ranked data catalog in the Dresner Advisory Services Wisdom of the Crowds® Data Catalog Market Study. In their Wisdom of Crowds® Data Catalog Market Study, Dresner assessed data catalog solutions from the perspective of business intelligence (BI).

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

AWS Big Data

MARCH 27, 2024

This includes patient medical history, allergies, immunizations, family disease history, and individuals’ lifestyle data such as workout habits. AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis.

Data Analytics 88

Data Analytics Analytics Data Warehouse Data Lake 88

AWS Big Data

MARCH 18, 2024

It always pays to know more about your customers, and AWS Data Exchange makes it straightforward to use publicly available census data to enrich your customer dataset. The United States Census Bureau conducts the US census every 10 years and gathers household survey data. Subscribe to census data on AWS Data Exchange.

Data Warehouse 79

Data Warehouse Visualization Snapshot Data-driven 79

AWS Big Data

DECEMBER 7, 2023

Companies are increasingly seeking ways to complement their data with external business partners’ data to build, maintain, and enrich their holistic view of their business at the consumer level. One way to quickly get started with AWS Clean Rooms is with a proof of concept (POC) between you and a priority partner. and CTV.Co

Measurement 89

Measurement Advertising Testing Data-driven 89

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Various data stores are supported in AWS Glue; for example, AWS Glue 4.0

Data Lake 109

Data Lake Data Warehouse Visualization Snapshot 109

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. Modern analytics is much wider than SQL-based data warehousing. You can isolate workloads using data sharing, while using the same underlying datasets.

Analytics 93

Analytics Data Warehouse Testing Dashboards 93

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 98

Data Warehouse Data Lake Analytics Machine Learning 98

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. In this post, we discuss a common use case in relation to operational data processing and the solution we built using Apache Hudi and AWS Glue.

Data Lake 88

Data Lake Data Processing Metadata Snapshot 88

Cloudera

FEBRUARY 22, 2022

Over the past decade, the successful deployment of large scale data platforms at our customers has acted as a big data flywheel driving demand to bring in even more data, apply more sophisticated analytics, and on-board many new data practitioners from business analysts to data scientists. Key Design Goals .

Snapshot 109

Snapshot Metadata Cost-Benefit Data Architecture 109

AWS Big Data

OCTOBER 31, 2023

Customers rely on data from different sources such as mobile applications, clickstream events from websites, historical data, and more to deduce meaningful patterns to optimize their products, services, and processes. Apache Airflow and Snowflake have emerged as powerful technologies for data management and analysis.

Data Processing 87

Data Processing Management Publishing Testing 87

AWS Big Data

NOVEMBER 8, 2023

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) that enables data scientists and developers to perform every step of the ML workflow, from preparing data to building, training, tuning, and deploying models. No customer data is required.

Testing 84

Testing Modeling Management Machine Learning 84

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. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.

Data Warehouse 88

Data Warehouse Data Lake Analytics Data Science 88

AWS Big Data

OCTOBER 11, 2023

Under the Transparency in Coverage (TCR) rule , hospitals and payors to publish their pricing data in a machine-readable format. With this move, patients can compare prices between different hospitals and make informed healthcare decisions. Create separate folders for each hospital inside the S3 bucket.

Visualization 93

Visualization Dashboards Data-driven Gap analysis 93