Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. 2021 Gartner Magic Quadrant for Cloud DBMS .

Reporting 91

Reporting Data Warehouse Data Lake Machine Learning 91

CIO Business Intelligence

JULY 24, 2022

Simon Herbert announced his departure from the New South Wales Department of Customer Service where he was the chief data officer since February 2021, having previously held the role of executive director of data and insights with the department for approximately three years. IT Leadership

IT 98

IT Data Lake Digital Transformation Data Warehouse 98

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 57

Optimization Strategy Data Warehouse Cost-Benefit 57

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Andrew White

OCTOBER 22, 2021

Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Chief Data Strategist 1.

IT 52

IT Data Lake Strategy Data Science 52

AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021.

Data Warehouse 102

Data Warehouse Testing Data Quality Reporting 102

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift also supports querying nested data with complex data types such as struct, array, and map.

Data Lake 90

Data Lake Data Warehouse Metadata Data Architecture 90

AWS Big Data

SEPTEMBER 13, 2023

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. Of those tables, some are larger (such as in terms of record volume) than others, and some are updated more frequently than others.

Data Lake 88

Data Lake Data Processing Metadata Snapshot 88

DataKitchen

DECEMBER 7, 2021

Back by popular demand, we’ve updated our data nerd Gift Giving Guide to cap off 2021. We’ve kept some classics and added some new titles that are sure to put a smile on your data nerd’s face. Fail Fast, Learn Faster: Lessons in Data-Driven Leadership in an Age of Disruption, Big Data, and AI, by Randy Bean.

Data-driven 246

Data-driven Data Governance Big Data Data Science 246

Alation

NOVEMBER 2, 2022

It also helped that other analytics companies in Thoma Bravo’s portfolio echoed that positive feedback. We had not seen that in the broader intelligence & data governance market.”. Indeed, Alation’s accelerating growth mirrors the faster pace of data and analytics today. Expanding the Data Intelligence Platform.

Data Governance 98

Data Governance Marketing Finance Data Lake 98

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 98

Data Warehouse Data Lake Analytics Machine Learning 98

AWS Big Data

MAY 24, 2023

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. parquet 2021-11-01 06:00:10 6.1 parquet 2021-11-01 04:33:24 6.1 availability.

Data Lake 80

Data Lake Snapshot Metadata Optimization 80

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. We will publish follow up blogs for other data services.

Data Warehouse 83

Data Warehouse Snapshot Metadata Cost-Benefit 83

AWS Big Data

DECEMBER 15, 2023

Many companies identify and label PII through manual, time-consuming, and error-prone reviews of their databases, data warehouses and data lakes, thereby rendering their sensitive data unprotected and vulnerable to regulatory penalties and breach incidents. Load data from Amazon S3 to the Redshift data warehouse.

Data Lake 100

Data Lake Data Warehouse Big Data Structured Data 100

AWS Big Data

FEBRUARY 22, 2023

In this post, we show how Ruparupa implemented an incrementally updated data lake to get insights into their business using Amazon Simple Storage Service (Amazon S3), AWS Glue , Apache Hudi , and Amazon QuickSight. An AWS Glue ETL job, using the Apache Hudi connector, updates the S3 data lake hourly with incremental data.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

AWS Big Data

FEBRUARY 1, 2023

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. You can use it for analytics, ML, and application development. Then we chose Amazon Athena as our query service.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

CIO Business Intelligence

NOVEMBER 4, 2022

To achieve what the company would need going forward, McCowan knew Regeneron would have to undergo a major transformation and build a more enhanced data pipeline that could inject data from up to 1,000 data sources in “analytical ready formats” for both the business and the scientists to consume, the CIO says.

Data Lake 124

Data Lake IT Experimentation Data-driven 124

CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

Alation

DECEMBER 14, 2021

Alation recently attended AWS re:invent 2021 … in person! Major shifts around how people use technology and data in the cloud are only just beginning. Re:Invent 2021 Keynote by AWS CEO Adam Selipsky. How do you provide access and connect the right people to the right data? What about other data sources?

Data Lake 52

Data Lake Data Warehouse Machine Learning Cost-Benefit 52

IBM Big Data Hub

APRIL 27, 2022

What’s a data fabric? Gartner defines a data fabric as “a design concept that serves as an integrated layer of data and connecting processes. This improves data engineering productivity and time-to-value for data consumers. What’s a data mesh? 11 May 2021. . 3 March 2022.

Management 88

Management Metadata Data Architecture Data Lake 88

CIO Business Intelligence

SEPTEMBER 21, 2022

In Europe, for example – often considered the leader in global trends when it comes to compliance law – the GDPR alone costs more than $US1 million to be in full compliance, on average, and in terms of penalties, companies were fined more than €1 billion in 2021 alone.

Risk 105

Risk Data Lake Marketing Interactive 105

BizAcuity

MAY 10, 2022

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

IBM Big Data Hub

AUGUST 1, 2023

Foundation models: The driving force behind generative AI Also known as a transformer, a foundation model is an AI algorithm trained on vast amounts of broad data. The term “foundation model” was coined by the Stanford Institute for Human-Centered Artificial Intelligence in 2021. All watsonx.ai

Modeling 60

Modeling Cost-Benefit Data Lake Machine Learning 60

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

Cloudera

NOVEMBER 29, 2021

That’s where the data lifecycle comes into play. Managing data and its flow, from the edge to the cloud, is one of the most important tasks in the process of gaining data intelligence. . In 2021, the finalists under this category include the following organizations from around the world. CARREFOUR SPAIN.

Data Lake 79

Data Lake Data Warehouse Data Architecture Reporting 79

CIO Business Intelligence

APRIL 6, 2022

For decades organizations chased the Holy Grail of a centralized data warehouse/lake strategy to support business intelligence and advanced analytics. billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge.

Data Strategy 52

Data Strategy Strategy Internet of Things Data Warehouse 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. But this was only the tip of the analytics iceberg.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. These types of queries are suited for a data warehouse. Amazon Redshift is fully managed, scalable, cloud data warehouse. This dimensional model will be built in Amazon Redshift.

Data Warehouse 76

Data Warehouse Data Lake OLAP Cost-Benefit 76

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . The batch nature of these tools increased the overall latency of the analytics.

Data Lake 88

Data Lake Manufacturing Metadata Dashboards 88

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021. The fill report is here: Leadership Vision for 2021: Data and Analytics.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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 86

Data Lake Data Warehouse Data-driven B2B 86

Jet Global

JUNE 13, 2022

According to Gartner’s 2021 Core Financial Magic Quadrant , over 50% of the ERP market is expected to be cloud-based by 2024. When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy. Interested in Business Analytics and Dashboards. No high pressure sales pitch.

Reporting 52

Reporting Data Lake Sales Operational Reporting 52