AWS Big Data

MAY 30, 2023

Create a Python file called generate-data-for-kds.py : $ python3 generate-data-for-kds.py client("kinesis")) This script puts a Kinesis data stream record every 2 seconds. Before joining AWS, Manish’s experience includes helping customers implement data warehouse, BI, data integration, and data lake projects.

Data Lake 80

Data Lake Data Analytics Analytics Data Processing 80

AWS Big Data

NOVEMBER 1, 2023

Originally published on December 9th, 2022. Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Amazon Redshift is a cloud-based data warehouse that supports many recovery capabilities to address unforeseen outages and minimize downtime.

Data Warehouse 95

Data Warehouse Snapshot Testing Management 95

AWS Big Data

MARCH 2, 2023

In early 2022, AWS announced general availability of Athena ACID transactions, powered by Apache Iceberg. createOrReplace() After you run the code, you should find two prefixes created in your data warehouse S3 path ( s3://iceberg-curated-blog-data/reviews.db/all_reviews all_reviews ): data and metadata.

Data Lake 118

Data Lake Data Processing Metadata Snapshot 118

DataKitchen

DECEMBER 7, 2021

Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean. Data Mesh: Delivering Data-Driven Value at Scale , by Zhamak Dehghani. the data scientist, the engineer, and the operations engineer). How did we get here?

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

AWS Big Data

JUNE 28, 2023

Amazon Aurora zero-ETL integration with Amazon Redshift was announced at AWS re:Invent 2022 and is now available in public preview for Amazon Aurora MySQL-Compatible Edition 3 (compatible with MySQL 8.0) In this post, we provide step-by-step guidance on how to get started with near-real time operational analytics using this feature.

Data Warehouse 85

Data Warehouse Analytics Metrics Dashboards 85

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 68

Data Warehouse Cost-Benefit KPI Risk 68

IBM Big Data Hub

OCTOBER 4, 2023

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. How does an open data lakehouse architecture support AI?

Data Lake 78

Data Lake Metadata Cost-Benefit Data Warehouse 78

Smart Data Collective

OCTOBER 17, 2022

While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. What’s causing the data explosion? Big data analytics from 2022 show a dramatic surge in information consumption.

Big Data 104

Big Data Data-driven Recreation/Entertainment Data Governance 104

IBM Big Data Hub

JANUARY 10, 2023

In this example, we will demonstrate using current data within a Netezza Performance Server as a Service (NPSaaS) table combined with historical data in Parquet files to determine if flight delays have increased in 2022 due to the impact of the COVID-19 pandemic on the airline travel industry. Prerequisites for the demo.

Data Warehouse 52

Data Warehouse Cost-Benefit Statistics Data Processing 52

IBM Big Data Hub

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 73

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 73

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 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

BizAcuity

MAY 10, 2022

The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. 2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. They now have a disruptive data management solution to offer to its client base.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

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. He has been leading the building of data warehouses and analytic solutions for the past 20 years.

Optimization 91

Optimization B2B Data Quality Sales 91

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 82

Slice and Dice Data Warehouse Metrics Metadata 82

IBM Big Data Hub

OCTOBER 12, 2023

They’re built on machine learning algorithms that create outputs based on an organization’s data or other third-party big data sources. Sometimes, these outputs are biased because the data used to train the model was incomplete or inaccurate in some way. Learn more about IBM watsonx 1.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

IBM Big Data Hub

APRIL 27, 2022

With data ownership decentralization, data owners can create data products for their respective domains, meaning data consumers, both data scientist and business users, can use a combination of these data products for data analytics and data science. 3 March 2022. 11 May 2021. .

Management 80

Management Metadata Data Architecture Data Lake 80

IBM Big Data Hub

SEPTEMBER 11, 2023

Built on decades of innovation in data security, scalability and availability, IBM Db2 keeps business applications and analytics protected, highly performant, and resilient, anywhere. Db2 Warehouse SaaS, on the other hand, is a fully managed elastic cloud data warehouse with our columnar technology.

Machine Learning 85

Machine Learning Cost-Benefit IoT Data Warehouse 85

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

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 83

Data Lake Dashboards Metrics Metadata 83

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement.

Visualization 136

Visualization Cost-Benefit Big Data Prescriptive Analytics 136

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 89

Data Lake Data Warehouse Data-driven B2B 89