Smart Data Collective

FEBRUARY 23, 2022

AWS Athena is a query service that allows users to analyze data in S3 using standard SQL syntax. Athena and other AWS serverless services have a similar pricing structure – it lets you pay only for what you use. Both combined, you use SQL to query what’s stored in S3. Limits of Athena.

Data Lake 96

Data Lake Cost-Benefit Optimization Big Data 96

CIO Business Intelligence

JULY 5, 2022

What is business analytics? What are the benefits of business analytics? What is the difference between business analytics and data analytics? What is the difference between business analytics and business intelligence? The discipline is a key facet of the business analyst role. Business analytics techniques.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

BizAcuity

APRIL 1, 2023

And when no solution is presented to optimize storage, customers decide to move away from Teradata to other alternatives. By paying attention to data temperature, Teradata can deliver higher query throughput and more consistent response times. Teradata is based on a parallel Data Warehouse with shared-nothing architecture.

Optimization 52

Optimization Data Warehouse Management Modeling 52

CIO Business Intelligence

DECEMBER 6, 2023

Many enterprises are accelerating their artificial intelligence (AI) plans, and in particular moving quickly to stand up a full generative AI (GenAI) organization, tech stacks, projects, and governance. Likewise, LLM orchestration plans how your app talks to big language models and keeps the conversation on track.

Enterprise 119

Enterprise Strategy Modeling Interactive 119

Cloudera

MAY 9, 2022

Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications. Tuning Guidelines.

Optimization 113

Optimization Testing Cost-Benefit Measurement 113

Cloudera

FEBRUARY 14, 2024

However, you need to regularly maintain Iceberg tables to keep them in a healthy state so that read queries can perform faster. This blog discusses a few problems that you might encounter with Iceberg tables and offers strategies on how to optimize them in each of those scenarios. Iceberg doesn’t delete the old data files.

Strategy 56

Strategy Optimization Snapshot Metadata 56

BizAcuity

SEPTEMBER 22, 2022

And when no solution is presented to optimize storage, customers decide to move away from Teradata to other alternatives. Optimization of Teradata Storage. While working with Teradata, the following database sizing considerations must be taken into account: Capacity planning of system and data disks. Introduction.

Optimization 52

Optimization Data Warehouse Management Modeling 52

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

CIO Business Intelligence

OCTOBER 13, 2023

This framework describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data. The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. They often report to data infrastructure and data science leads.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

datapine

JUNE 7, 2022

But, by knowing what to look for, you can avoid connecting with metrics that will lead your organization down the wrong path. Take heed of these poorly arranged visuals and you will know exactly what to look for when analyzing your business’s most invaluable data. Let’s get started. Truncated Y-axis. Omitting Data.

Visualization 267

Visualization Metrics Statistics Dashboards 267

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. A data hub contains data at multiple levels of granularity and is often not integrated. Data repositories represent the hub.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

AWS Big Data

APRIL 20, 2023

Amazon Redshift admins can easily identify the SQL generated from Spark-based applications. In this post, we show how you can find out the SQL generated by the Apache Spark job. In this post, we show how you can find out the SQL generated by the Apache Spark job. This allows you to improve the performance of your applications.

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

Cloudera

OCTOBER 8, 2021

Apache Impala is a massively parallel in-memory SQL engine supported by Cloudera designed for Analytics and ad hoc queries against data stored in Apache Hive, Apache HBase and Apache Kudu tables. Supporting powerful queries and high levels of concurrency Impala can use significant amounts of cluster resources. Introduction.

Data Processing 79

Data Processing Statistics Risk Optimization 79

Cloudera

DECEMBER 10, 2020

They require skilled central IT teams to tackle technical complexities and long lead times in planning, procuring, and provisioning. Cloud-native warehouses that fail economically usually don’t do a good job optimizing cloud resources as part of their core functionality. What is Cloudera Data Warehouse (CDW)?

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Sisense

DECEMBER 30, 2019

If you’ve read our Building Data Dashboards for Business Professionals and 6 Tips for Data Teams , then you know how important planning and communication are when building dashboards. The first one contains some poor design choices, while the second is built to optimize readability and preserve insights. Who is this for?

Dashboards 89

Dashboards Visualization Metrics Contextual Data 89

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. Why AI software development is different.

Management 332

Management Machine Learning Experimentation Metrics 332

Cloudera

DECEMBER 21, 2020

Shaun plans to clone the exemplified model linked from the report to his local environment. Shaun plans to clone the exemplified model linked from the report to his local environment. This exactly what he wants: compute resources, automatic project setup, and security & connection to the environment without any IT intervention.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. Having immediate access to a visualization tool that can query a highly scalable and flexible cloud-native data warehouse is key for most businesses to expedite experimentation and stay ahead in the market. Today’s data tool challenges.

Experimentation 80

Experimentation Data Warehouse Dashboards Visualization 80

Smart Data Collective

JANUARY 24, 2020

Furthermore, thanks to such benefits this field of development is growing very fastly and it’s critically important to optimize your product delivery and maintenance that can be done through implementing the most effective and the latest DevOps trends. More Focus on Automation. DevOps’ future trends have a great deal to do with automation.

Software 100

Software Business Objectives Optimization Business Intelligence 100

datapine

MAY 21, 2019

These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. The power of data analytics and business intelligence is universal. Let’s get started!

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards Slice and Dice 183

Sisense

SEPTEMBER 3, 2020

Be sure to study each job listing during your search so that you can understand the finer details of what makes them each unique and how the company in question is using the specific job title (data analyst vs data specialist, etc.). When applying for a role, worry less about the title and more about what the job role entails.

Statistics 97

Statistics Metrics Visualization Finance 97

IBM Big Data Hub

JULY 6, 2023

What is data science? What is machine learning? Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with. While data science and machine learning are related, they are very different fields. This post will dive deeper into the nuances of each field.

Machine Learning 61

Machine Learning Data Science Statistics Deep Learning 61

Jet Global

AUGUST 14, 2019

What Do You Need? So how will BI software help set the stage for AI in your enterprise, and what possible use cases can be gleaned from the intersection of AI and BI? But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? Read: AI vs BI for Business.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Cloudera

SEPTEMBER 1, 2020

What is ‘Data Discovery and Exploration’ in CDP Data Hub? What is ‘Data Discovery and Exploration’ in CDP Data Hub? What does DDE entail? The application provides support for the Solr standard query language and visualization of faceted search functionality. From a-z in 10 minutes! data best served through Apache Solr).

Snapshot 66

Snapshot Unstructured Data Dashboards Interactive 66

Jet Global

OCTOBER 2, 2019

What Do You Need? So how will BI software help set the stage for AI in your enterprise, and what possible use cases can be gleaned from the intersection of AI and BI? But the vast reams of data generated on a daily basis are presenting a new problem for businesses—what data matters? Read: AI vs BI for Business.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Cloudera

OCTOBER 31, 2023

Let us dive into what is happening in each of these pillars between AWS and Cloudera. Enterprises see embracing AI as a strategic imperative that will enable them to stay relevant in increasingly competitive markets. Our vision is to make it easier, more economical, and safer for our customers to maximize the value they get from AI.

Machine Learning 98

Machine Learning Cost-Benefit Modeling Interactive 98

AWS Big Data

DECEMBER 7, 2023

In this post, we outline planning a POC to measure media effectiveness in a paid advertising campaign. With AWS Clean Rooms, you can perform two types of analyses: SQL queries and machine learning. For the purpose of this blog, we will be focusing only on SQL queries.

Measurement 88

Measurement Advertising Testing Data-driven 88

Cloudera

FEBRUARY 22, 2022

By optimizing the various CDP Data Services, including CDW, CDE, and Cloudera Machine Learning (CML) with Iceberg, Cloudera customers can define and manipulate datasets with SQL commands, build complex data pipelines using features like Time Travel operations, and deploy machine learning models built from Iceberg tables.

Snapshot 103

Snapshot Metadata Cost-Benefit Data Architecture 103

AWS Big Data

OCTOBER 24, 2023

Overview of SYS monitoring views SYS monitoring views are system views in Amazon Redshift that can be used to monitor query and workload resource usage for provisioned clusters as well as for serverless workgroups. User query-level logging To enhance query performance, the Redshift query engine can rewrite user-submitted queries.

Metrics 81

Metrics Statistics Data Warehouse Cost-Benefit 81

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 91

Data Warehouse Cost-Benefit Dashboards Optimization 91

Cloudera

DECEMBER 15, 2020

is the new Adaptive Query Execution framework (AQE), which fixes the issues that have plagued a lot of Spark SQL workloads. The diagram below represents the kind of distributed processing that happens when you do a simple group-by-count query using DataFrames. This setting will be applied to all the shuffles in your query.

Broadcasting 96

Broadcasting Optimization Statistics IT 96

Ontotext

SEPTEMBER 23, 2021

This post continues our series aiming to provide the bigger picture of what we do and how our webinars fit into it. Here, we want to talk about our flagship product GraphDB – an enterprise-ready RDF database optimized for the development and operations of knowledge graphs. All of our webinars are available on demand. Mapping UI.

Optimization 97

Optimization Business Intelligence Data Collection Enterprise 97

Cloudera

NOVEMBER 13, 2020

Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? What if our queries are very selective? Small queries are part of many common use cases: Financial summary reporting with the end of quarter or end of year results.

Optimization 142

Optimization Metadata Statistics Cost-Benefit 142

AWS Big Data

FEBRUARY 1, 2023

Therefore, we must meet the scaling limits while querying the data. Every day, Amazon devices process and analyze billions of transactions from global shipping, inventory, capacity, supply, sales, marketing, producers, and customer service teams. This data is used in procuring devices’ inventory to meet Amazon customers’ demands.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

O'Reilly on Data

MARCH 23, 2023

What is it, how does it work, what can it do, and what are the risks of using it? Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in.

IT 262

IT Modeling Testing Risk 262

AWS Big Data

DECEMBER 8, 2023

This was chosen over Dense Storage (DS2) nodes in order to take advantage of the greater compute power for the complex queries in their organization. This post is co-written with Sreenivasa Mungala and Matt Grimm from FanDuel. The company operates sportsbooks in a number of US and Canadian states. As FanDuel grew, so did their data workloads.

Data Warehouse 66

Data Warehouse Cost-Benefit KPI Risk 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. The star schema is a popular data model for building data marts.

Slice and Dice 78

Slice and Dice Data Warehouse Metrics Metadata 78