AWS Big Data

JUNE 28, 2023

Another example of AWS’s investment in zero-ETL is providing the ability to query a variety of data sources without having to worry about data movement. Data analysts and data engineers can use familiar SQL commands to join data across several data sources for quick analysis, and store the results in Amazon S3 for subsequent use.

Analytics 67

Analytics Data Warehouse Data Lake Data-driven 67

Cloudera

OCTOBER 6, 2022

Gartner : “Digital transformation can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.”. For example, we have some customers using their data platform originally established for compliance initiatives to drive new use cases.

Digital Transformation 85

Digital Transformation Cost-Benefit Data Lake Machine Learning 85

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. sql_parameters DATE=2022-07-04::HOUR=00 Any additional or dynamic parameters expected by the SQL files. Apache Hive has performed pretty well for a long time.

Metadata 77

Metadata Testing Data Lake Consulting 77

IBM Big Data Hub

JULY 5, 2022

Db2’s decades of innovation and expertise running the most demanding transactional, analytical, and operational workloads have culminated today in the 2022 Gartner Peer Insights Customers’ Choice distinction for Cloud Database Management Systems. . Nedbank builds a scalable data warehouse architecture .

Data Lake 96

Data Lake Data Warehouse Publishing Structured Data 96

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 released version 4.0 runtime ( 3.5 Since AWS Glue 4.0,

Testing 75

Testing Data Lake Cost-Benefit Data Integration 75

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 111

Cost-Benefit Internet of Things Data-driven Data Lake 111

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

AWS Big Data

MAY 25, 2023

Many organizations today are using AWS Glue to build ETL pipelines that bring data from disparate sources and store the data in repositories like a data lake, database, or data warehouse for further consumption. In April 2022, Auto Scaling for AWS Glue was released for AWS Glue version 3.0

Reporting 67

Reporting Metrics Optimization Data Lake 67

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

AWS Big Data

APRIL 27, 2023

Amazon Athena supports the MERGE command on Apache Iceberg tables, which allows you to perform inserts, updates, and deletes in your data lake at scale using familiar SQL statements that are compliant with ACID (Atomic, Consistent, Isolated, Durable).

Data Lake 71

Data Lake Snapshot Optimization Data Transformation 71

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. We will publish follow up blogs for other data services. It allows us to independently upgrade the Virtual Warehouses and Database Catalogs.

Data Warehouse 79

Data Warehouse Snapshot Metadata Cost-Benefit 79

CIO Business Intelligence

AUGUST 18, 2022

Previously, Walgreens was attempting to perform that task with its data lake but faced two significant obstacles: cost and time. Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. Lakehouses redeem the failures of some data lakes.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

AWS Big Data

MARCH 20, 2024

As your organization becomes more data driven and uses data as a source of competitive advantage, you’ll want to run analytics on your data to better understand your core business drivers to grow sales, reduce costs, and optimize your business. ETL is the process data engineers use to combine data from different sources.

Data Warehouse 122

Data Warehouse Business Driver Data Lake Data-driven 122

IBM Big Data Hub

OCTOBER 4, 2023

Why does AI need an open data lakehouse architecture? from 2022 to 2026. Another IDC study showed that while 2/3 of respondents reported using AI-driven data analytics, most reported that less than half of the data under management is available for this type of analytics.

Data Lake 85

Data Lake Metadata Cost-Benefit Data Warehouse 85

AWS Big Data

MAY 30, 2023

Customers have been using data warehousing solutions to perform their traditional analytics tasks. Recently, data lakes have gained lot of traction to become the foundation for analytical solutions, because they come with benefits such as scalability, fault tolerance, and support for structured, semi-structured, and unstructured datasets.

Data Lake 77

Data Lake Data Analytics Analytics Data Processing 77

AWS Big Data

JULY 13, 2023

Data-Driven Everything engagement Altron has provided information technology services since 1965 across South Africa, the Middle East, and Australia. Foundations for a data lake with data governance controls and data quality checks. A set of QuickSight dashboards to be consumed via browser and mobile.

Optimization 88

Optimization B2B Data Quality Sales 88

Cloudera

DECEMBER 16, 2022

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Notably, these same services simplify repatriating data workloads back to private clouds, to save on cloud infrastructure expenses. 2-A truly open data lakehouse.

Management 88

Management Metadata Machine Learning Data Lake 88

CIO Business Intelligence

APRIL 4, 2023

Businesses that lead in fully deploying AI will be able to optimize customer experiences and efficiencies that help maximize customer retention and customer acquisition and gain a distinct advantage over the competition. Constructing the right data architecture cannot be bypassed. MB every second. Want to learn more?

Data Architecture 52

Data Architecture Data Lake Data Warehouse Cost-Benefit 52

IBM Big Data Hub

OCTOBER 12, 2023

To maximize the business outcomes that can come from using AI while also controlling costs and reducing inherent AI complexities, organizations need to combine AI-optimized data storage capabilities with a data governance program exclusively made for AI. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 83

Cost-Benefit Metadata Data Governance Modeling 83

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

CIO Business Intelligence

OCTOBER 18, 2022

One pulse sends 150 bytes of data. So, each band can send out 500KB to 750KB of data. To handle the huge volume of data thus generated, the company is in the process of deploying a data lake, data warehouse, and real-time analytical tools in a hybrid model. Digital Transformation, RFID

Data Lake 97

Data Lake Cost-Benefit Digital Transformation Data Warehouse 97

AWS Big Data

MARCH 3, 2023

Building data lakes from continuously changing transactional data of databases and keeping data lakes up to date is a complex task and can be an operational challenge. You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes.

Data Lake 80

Data Lake Dashboards Metrics Metadata 80

Cloudera

SEPTEMBER 9, 2022

This is the promise of the modern data lakehouse architecture. analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.”

Metadata 97

Metadata Machine Learning Unstructured Data Data Lake 97

AWS Big Data

JUNE 21, 2023

These types of queries are suited for a data warehouse. The goal of a data warehouse is to enable businesses to analyze their data fast; this is important because it means they are able to gain valuable insights in a timely manner. Amazon Redshift is fully managed, scalable, cloud data warehouse.

Data Warehouse 78

Data Warehouse Data Lake OLAP Cost-Benefit 78

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 102

Data Lake Management Metrics Data Warehouse 102

Cloudera

JUNE 16, 2022

Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. Cloudera Stream Processing (CSP) enables customers to turn streams into data products by providing capabilities to analyze streaming data for complex patterns and gain actionable intel.

Data Lake 84

Data Lake Manufacturing Metadata Dashboards 84

AWS Big Data

DECEMBER 21, 2023

To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse. In this post, we show how smava optimized their data platform by using Amazon Redshift Serverless and Amazon Redshift data sharing to overcome right-sizing challenges for unpredictable workloads and further improve price-performance.

Data Lake 88

Data Lake Data Warehouse Data-driven B2B 88

Jet Global

SEPTEMBER 19, 2023

In fact, a recent Gartner report on cloud expenditure found that cross-industry cloud spend has risen from 8% as a percentage of total IT spend in 2018 to 16% in 2022. Data Access What insights can we derive from our cloud ERP? What are the best practices for analyzing cloud ERP data?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52