IBM Big Data Hub

APRIL 25, 2023

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

AWS Big Data

AUGUST 21, 2024

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. This post also includes example SQLs, which you can run on your own Redshift Serverless data warehouse to experience the benefits of this feature.

Optimization 86

Optimization Data Lake Data Warehouse Cost-Benefit 86

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 86

Data Warehouse Cost-Benefit Metadata Data-driven 86

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 94

Enterprise Data Warehouse Snapshot Cost-Benefit 94

AWS Big Data

OCTOBER 1, 2024

Performance was tested on a Redshift serverless data warehouse with 128 RPU. In our testing, the dataset was stored in Amazon S3 in Parquet format and AWS Glue Data Catalog was used to manage external databases and tables. AWS Glue Data Catalog can compute column level statistics such as NDV, Number of Nulls, Min/Max and Avg.

Data Lake 103

Data Lake Statistics Broadcasting Optimization 103

Sisense

MARCH 20, 2019

As a company that touts the benefits of a full end-to-end BI solution, we certainly know the value of a data engineer. The data engineer’s job is to extract, clean, and normalize data, clearing the path for data scientists to explore that data and build models. Data Warehousing. Python and R.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

AWS Big Data

MAY 17, 2023

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 121

Data Warehouse Cost-Benefit Sales Data-driven 121

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights.

Data Lake 109

Data Lake Cost-Benefit Data-driven Data Warehouse 109

AWS Big Data

NOVEMBER 17, 2023

In this post, we look into an optimal and cost-effective way of incorporating dbt within Amazon Redshift. Seeds – These are CSV files in your dbt project (typically in your seeds directory), which dbt can load into your data warehouse using the dbt seed command. These SCDs identify how a row in a table changes over time.

Snapshot 101

Snapshot Data Processing Testing Data Warehouse 101

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 114

Data Lake Sales Data Warehouse Snapshot 114

CIO Business Intelligence

JUNE 23, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data Lake 98

Data Lake Data Warehouse Machine Learning Metadata 98

datapine

SEPTEMBER 29, 2022

Paired to this, it can also: Improved decision-making process: From customer relationship management, to supply chain management , to enterprise resource planning, the benefits of effective DQM can have a ripple impact on an organization’s performance. Industry-wide, the positive ROI on quality data is well understood. 1 – The people.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data Lake 97

Data Lake Data Warehouse Machine Learning Metadata 97

AWS Big Data

FEBRUARY 1, 2024

The solution should be scalable, cost-efficient, and straightforward to adopt and operate. Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. version cluster.

Data Warehouse 131

Data Warehouse Dashboards Risk Management Risk 131

AWS Big Data

NOVEMBER 20, 2023

As a result, you gain the benefit of higher availability, better performance, and lower cost for your AWS Glue for Apache Spark workload. This typically happens when the job capacity is over-provisioned and many Spark executors were idle, resulting in unnecessary cost. workerUtilization showed 1.0 Check it out!

Metrics 107

Metrics Data Lake Cost-Benefit Dashboards 107

CIO Business Intelligence

NOVEMBER 28, 2023

The knock-on impact of this lack of analyst coverage is a paucity of data about monies being spent on data management. In reality MDM ( master data management ) means Major Data Mess at most large firms, the end result of 20-plus years of throwing data into data warehouses and data lakes without a comprehensive data strategy.

Management 131

Management Data Architecture Data Lake Data Strategy 131

AWS Big Data

SEPTEMBER 25, 2023

With Amazon Redshift , you can run a complex mix of workloads on your data warehouse, such as frequent data loads running alongside business-critical dashboard queries and complex transformation jobs. We also see more and more data science and machine learning (ML) workloads. ExampleCorp has multiple Redshift clusters.

Management 106

Management Data Warehouse Metrics Dashboards 106

IBM Big Data Hub

NOVEMBER 3, 2023

However, not all of it is necessarily actionable and some get stuck in queues or big data batch processing. Additionally, Apache Flink contextualizes your data by detecting patterns, enabling you to understand how things happen alongside each other. We’ve seen them get stuck all-together due to costs and skills constrains.

Cost-Benefit 74

Cost-Benefit Experimentation Testing Data Warehouse 74

AWS Big Data

JUNE 23, 2023

Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics.

Data Lake 75

Data Lake Dashboards Cost-Benefit Data Warehouse 75

IBM Big Data Hub

JANUARY 5, 2023

Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues. Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

AWS Big Data

APRIL 3, 2024

Snowflake integrates with AWS Glue Data Catalog to access the Iceberg table catalog and the files on Amazon S3 for analytical queries. This greatly improves performance and compute cost in comparison to external tables on Snowflake , because the additional metadata improves pruning in query plans. Partner Solution Architect at AWS.

Data Lake 104

Data Lake Snapshot Metadata Data Architecture 104

AWS Big Data

MARCH 27, 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. Cost Cloud services operate on a pay-as-you-go model, and estimating costs accurately can be challenging during a POC.

Testing 107

Testing Data Warehouse Metrics Cost-Benefit 107

AWS Big Data

SEPTEMBER 4, 2024

Effective data analytics relies on seamlessly integrating data from disparate systems through identifying, gathering, cleansing, and combining relevant data into a unified format. Reverse ETL use cases are also supported, allowing you to write data back to Salesforce. Kamen Sharlandjiev is a Sr.

Data Integration 87

Data Integration Data Lake Data-driven Cost-Benefit 87

erwin

FEBRUARY 13, 2020

But as suspected, most data operations are still manual and largely dependent on technical resources. The Benefits of Automating Data Governance and Metadata Management Processes. Availability, quality, consistency, usability and reduced latency are requirements at the heart of successful data governance.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

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. Determine your preparedness. Conclusion.

Data Lake 101

Data Lake Cost-Benefit Data Warehouse Big Data 101

IBM Big Data Hub

NOVEMBER 6, 2023

Through workload optimization, watsonx.data can reduce the cost of an enterprise’s data warehouse by up to 50%. Paired with IBM’s data consulting services, enterprises can leverage watsonx.data to track usage, generate dashboards and ultimately enable strategic decision making.

Cost-Benefit 101

Cost-Benefit Enterprise Data Warehouse ROI 101

Sisense

APRIL 17, 2020

In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data. You can do these smaller experiments more cost-efficiently, saving money over the traditional data strategy.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

Cloudera

JANUARY 26, 2022

The amount of data being collected grew, and the first data warehouses were developed. Big Data” became a topic of conversations and the term “Cloud” was coined. . As cloud offerings grew, so did the demand for higher agility, speed, and cost efficiency. In 2008, Cloudera was born.

Data Processing 91

Data Processing IoT Data Warehouse Cost-Benefit 91

erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Lack of a solid data governance foundation increases the risk of data-security incidents.

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106

Sisense

JANUARY 13, 2020

Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations. Manufacturing constantly seeks ways to increase efficiency, reduce costs, and unlock productivity and profitability. How data enhances product development. It’s easy to see why.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

AWS Big Data

MAY 18, 2023

You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and create, run, and monitor data integration pipelines to load data into your data lakes and your data warehouses. AWS Glue Data Catalog client 3.6.0 runtime ( 3.5 runtime ( 3.5

Testing 86

Testing Data Lake Cost-Benefit Data Integration 86

IBM Big Data Hub

APRIL 28, 2022

The time required to discover critical data assets, request access to them and finally use them to drive decision making can have a major impact on an organization’s bottom line. That’s where the data fabric comes in. Learn more about a data fabric architecture and how it can benefit your organization.

Data Warehouse 77

Data Warehouse Metadata Forecasting Predictive Modeling 77

datapine

JANUARY 24, 2021

By asking the right questions, utilizing sales analytics software that will enable you to mine, manipulate and manage voluminous sets of data, generating insights will become much easier. Before starting any business venture, you need to make the most crucial step: prepare your data for any type of serious analysis.

IT 317

IT Statistics KPI Data-driven 317

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. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 97

Data Warehouse Data Lake Cost-Benefit Structured Data 97

erwin

AUGUST 15, 2022

Static over-provisioning or dynamic scaling will run up monthly cloud costs very quickly on a bad design. So, you really should get familiar with your cloud provider’s sizing vs. cost calculator. A sample data warehousing project. I was pricing for a data warehousing project with just 4 TBs of data, small by today’s standards.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. Instead, we can use automation to speed up the process of migration and reduce heavy lifting tasks, costs, and risks. He is passionate about big data and data analytics.

Metadata 87

Metadata Testing Data Lake Consulting 87

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. Compared to legacy Apache HBase or Phoenix implementations, COD has been architected to enable organizations optimize infrastructure costs, streamline application development lifecycle and accelerate time to value.

Cost-Benefit 99

Cost-Benefit Optimization Risk Management 99