Smart Data Collective

MARCH 30, 2022

Azure Data Lake Storage Gen2 is based on Azure Blob storage and offers a suite of big data analytics features. If you don’t understand the concept, you might want to check out our previous article on the difference between data lakes and data warehouses. Migrate data, workloads, and applications.

Data Lake 100

Data Lake Cost-Benefit Data Warehouse Big Data 100

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. The system had an integration with legacy backend services that were all hosted on premises. The downside here is over-provisioning.

Data Warehouse 86

Data Warehouse Data Lake Cost-Benefit Structured Data 86

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? One challenge in applying data science is to identify pertinent business issues.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

AWS Big Data

JULY 20, 2023

Apache Hive is a SQL-based data warehouse system for processing highly distributed datasets on the Apache Hadoop platform. The Hive metastore is a repository of metadata about the SQL tables, such as database names, table names, schema, serialization and deserialization information, data location, and partition details of each table.

Data Lake 82

Data Lake Metadata Data Processing Big Data 82

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. Your Chance: Want to test a professional analytics software? date, month, and year).

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

JULY 27, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift RA3 with managed storage is the newest instance type for Provisioned clusters.

Testing 66

Testing Data Warehouse Data Processing Snapshot 66

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

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 300

Testing Machine Learning Consulting Data Quality 300

Cloudera

SEPTEMBER 12, 2018

AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. Modern Data Warehousing: Barclays (nominated together with BlueData ). Technical Impact. Enterprise Machine Learning: .

Machine Learning 46

Machine Learning Big Data Data Science Data Warehouse 46

Sisense

OCTOBER 6, 2020

Additionally, quantitative data forms the basis on which you can confidently infer, estimate, and project future performance, using techniques such as regression analysis, hypothesis testing, and Monte Carlo simulations. Despite its many uses, quantitative data presents two main challenges for a data-driven organization.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

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 get faster insights without spending valuable time managing your data warehouse.

Analytics 97

Analytics Data Warehouse Testing Dashboards 97

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. The architecture illustrates how the solution works in a multi-account environment, which is a common scenario.

Metadata 76

Metadata Data Lake Data Processing Data-driven 76

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). Most of the data management moved to back-end servers, e.g., databases.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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 88

Data Processing Snapshot Data Warehouse Management 88

Alation

JANUARY 17, 2023

It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. In the past, data movement was defined by ETL: extract, transform, and load.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. Amazon EMR on EKS release 6.7.0 and later include the ability to run SparkSQL through the StartJobRun API. or later installed.

Big Data 82

Big Data Data Processing Interactive Testing 82

IBM Big Data Hub

APRIL 8, 2024

Can Amazon RDS for Db2 be used for running data warehousing workloads? Answer : Yes, Amazon RDS for Db2 can support analytics workloads, but it is not a data warehouse. Amazon RDS Are there any constraints on the number of databases that can be hosted on an instance?

Snapshot 69

Snapshot Data Warehouse Data Processing Management 69

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 77

Data Lake Data Warehouse Cost-Benefit Optimization 77

AWS Big Data

JUNE 3, 2024

Amazon Redshift is a fast, scalable cloud data warehouse built to serve workloads at any scale. This integration positions Amazon Redshift as an IAM Identity Center-managed application, enabling you to use database role-based access control on your data warehouse for enhanced security. Choose OAuth Config File.

Data Warehouse 72

Data Warehouse Reporting Testing Management 72

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 48

Data Warehouse Testing Sales Dashboards 48

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 66

Slice and Dice Management Data Warehouse Analytics 66

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 82

Data Lake Data Analytics Analytics Data Processing 82

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 83

Slice and Dice Data Warehouse Metrics Metadata 83

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. The platform is built on S3 and EC2 using a hosted Hadoop framework. An efficient big data management and storage solution that AWS quickly took advantage of.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

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. Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore. The Benefits Of Ad Hoc Reporting And Analysis. ” – John Dryden.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

AWS Big Data

FEBRUARY 19, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. Thousands of customers use Amazon Redshift read data sharing to enable instant, granular, and fast data access across Redshift provisioned clusters and serverless workgroups.

Cost-Benefit 86

Cost-Benefit Data Warehouse Marketing Interactive 86

IBM Big Data Hub

JULY 17, 2023

It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent. How you can get started today Test out watsonx.ai

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

AWS Big Data

FEBRUARY 21, 2023

Toucan natively integrates with Redshift Serverless, which enables you to deploy a scalable data stack in minutes without the need to manage any infrastructure component. Amazon Redshift is a fully managed cloud data warehouse service that enables you to analyze large amounts of structured and semi-structured data.

Visualization 52

Visualization Dashboards Data Warehouse Cost-Benefit 52

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 69

Data-driven Data Warehouse Data Processing Marketing 69

AWS Big Data

NOVEMBER 8, 2023

Fast-track streaming ETL with AWS streaming data services: Learn how to build streaming data pipelines across data lakes and data warehouses. Learn best practices for performance, scale, and cost control in Amazon Kinesis Data Streams, Amazon MSK, Amazon Redshift streaming ingestion, and AWS Glue streaming.

Data-driven 90

Data-driven Data Lake Machine Learning Cost-Benefit 90

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 90

Data Lake Data Warehouse Data-driven B2B 90

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

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. Ideally, your primary data source should belong in this group. It is organized to create a top-down model that is used for analysis and reporting.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52