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 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

AWS Big Data

MARCH 29, 2024

Analyzing historical patterns allows you to optimize performance, identify issues proactively, and improve planning. Typically, you have multiple accounts to manage and run resources for your data pipeline. Aggregating metrics and slicing data by different dimensions such as job name can provide deeper insights.

Metrics 101

Metrics Visualization Dashboards Interactive 101

Cloudera

NOVEMBER 12, 2020

Burst to Cloud not only relieves pressure on your data center, but it also protects your VIP applications and users by giving them optimal performance without breaking your bank. Cloud deployments for suitable workloads gives you the agility to keep pace with rapidly changing business and data needs. You are probably hesitant.

Data Warehouse 101

Data Warehouse Reporting Risk Cost-Benefit 101

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. Data can be organized into three different zones, as shown in the following figure.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

AWS Big Data

JANUARY 24, 2023

Serverless applications are a modernized way to perform analytics among business departments and engineering teams. Reporting and analysis – An application where you can trigger large analytical queries with dynamic inputs and then view or download the results. What are WebSockets and why do we need them?

Analytics 57

Analytics Data-driven Management Reporting 57

AWS Big Data

APRIL 25, 2024

Additionally, it enables cost optimization by aligning resources with specific use cases, making sure that expenses are well controlled. By isolating workloads with specific security requirements or compliance needs, organizations can maintain the highest levels of data privacy and security. redshift-serverless.amazonaws.com:5439?

Metadata 94

Metadata Data Processing Management Testing 94

Cloudera

MAY 12, 2021

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. DATA FOR ENTERPRISE AI. DATA FOR GOOD.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

Cloudera

MAY 2, 2018

Qonnections is the premier Business Intelligence (BI) conference that brings data lovers together to share insights and discover data in new ways. The post Disrupting Everything in BI Analytics appeared first on Cloudera Blog.

Analytics 44

Analytics Business Intelligence Data Science Data Processing 44

datapine

MAY 21, 2019

“BI is about providing the right data at the right time to the right people so that they can take the right decisions” – Nic Smith. Data analytics isn’t just for the Big Guys anymore; it’s accessible to ventures, organizations, and businesses of all shapes, sizes, and sectors.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

Smart Data Collective

NOVEMBER 18, 2020

Then artificial intelligence advances became more widely used, which made it possible to include optimization and informatics in analysis methods. This new approach has proven to be much more effective, so it is a skill set that people must master to become data scientists. Where to Use Data Mining? Practical experience.

Data mining 143

Data mining Data Science Informatics Statistics 143

Occam's Razor

SEPTEMBER 9, 2013

This post covers an important evolution in Google Analytics' segmentation power. You are going to love analytics and analysis so much more by the time you are done with this post! 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.

Analytics 145

Analytics Metrics Marketing Reporting 145

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. Fault tolerance is built in. Next, we create an S3 bucket.

Analytics 92

Analytics Data Warehouse Testing Dashboards 92

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

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. Wait for all the jobs to complete.

Sales 52

Sales Data Warehouse Visualization Testing 52

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. Industry-wide, the positive ROI on quality data is well understood. 4 – Data Reporting. With a shocking 2.5

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Technical Impact.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

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 63

Testing Data Warehouse Data Processing Snapshot 63

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. Prerequisites To complete the integration, you need a Redshift Serverless data warehouse.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Occam's Razor

DECEMBER 3, 2008

Michael, politely, says in an email: "I have done web analytics for five years, I have mastered Omniture, WebTrends and Google Analytics, I provide analysis and not just reporting. I feel like am an Analytics God. Here's the Avinash Kaushik Web Analytics Career Introspection Guide ! Do some introspection.

Analytics 115

Analytics Consulting Metrics Reporting 115

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. Of course you don’t want to re-create the risks and costs of data silos your organization has spent the last decade trying to eliminate.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

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 74

Snapshot Data Warehouse Data Processing Management 74

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. 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. . Reflow — A system for incremental data processing in the cloud.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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

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. Now switching to something a bit more near and dear to my heart, analytics "crimes against humanity" 8.

Marketing 126

Marketing Measurement Metrics Testing 126

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

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 62

Slice and Dice Management Data Warehouse Analytics 62

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. A host with the installed MySQL utility, such as an Amazon Elastic Compute Cloud (Amazon EC2) instance, AWS Cloud9 , your laptop, and so on. For Task logs , enable Turn on CloudWatch logs and Turn on batch-optimized apply.

Data Lake 77

Data Lake Data Analytics Analytics Data Processing 77

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

Cloudera

DECEMBER 2, 2021

Cloudera secures your data by providing encryption at rest and in transit, multi-factor authentication, Single Sign On, robust authorization policies, and network security. It is part of the Cloudera Data Platform, or CDP , which runs on Azure and AWS, as well as in the private cloud. Enter “0.0.0.0/0” 0” in the Whitelist IP CIDR(s).

Data Lake 121

Data Lake Data Warehouse Data Processing Interactive 121

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 65

Machine Learning Data Warehouse Modeling Cost-Benefit 65

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 78

Slice and Dice Data Warehouse Metrics Metadata 78

IBM Big Data Hub

SEPTEMBER 27, 2023

Legacy systems and architectures led to unsustainable costs of data ingestion, analysis, and storage, as well as performance issues when searching and analyzing threats across massive datasets. You get near real-time visibility and insights from your ingested data.

Cost-Benefit 101

Cost-Benefit OLAP Dashboards Visualization 101

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. Retail: Ad hoc data analysis proves particularly effective in loss prevention in the retail sector. Ad hoc analysis has served to revolutionize the healthcare sector.

Reporting 260

Reporting Cost-Benefit Dashboards Visualization 260

IBM Big Data Hub

JULY 11, 2023

Data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights.

Data Warehouse 50

Data Warehouse Testing Sales Dashboards 50

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. Previously, this customer had run this analytical workload on other types of databases, but the conventional databases didn’t handle it very well.

Data-driven 72

Data-driven Data Warehouse Data Processing Marketing 72

Cloudera

OCTOBER 17, 2023

Recently, Confluent hosted Current 2023 (formerly Kafka summit) in San Jose on Sept 26th and 27th. Use cases such as fraud monitoring, real-time supply chain insight, IoT-enabled fleet operations, real-time customer intent, and modernizing analytics pipelines are driving development activity. Stay tuned for plenty more on that topic!

Data-driven 74

Data-driven Enterprise IoT Data Warehouse 74