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 80

Data Warehouse Data Lake OLAP Cost-Benefit 80

Cloudera

MAY 12, 2021

And it is with this in mind, that we’re delighted to announce that the 2021 Cloudera Data Impact Awards is now open for entries. The 2021 Cloudera Data Impact Award categories aim to recognize organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Sisense

MARCH 30, 2021

In Gartner’s Top 10 Data and Analytics Trends for 2021, trend No. The Sisense Q1 2021 release is focused on bringing customized analytics to each person. Take Amazon reviews, for example: Say you’d like to do sentiment analysis on your text data to understand who felt positively, negatively, or neutral about your brand.

Dashboards 52

Dashboards Machine Learning Data Warehouse Marketing 52

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 100

Data Warehouse Data Lake Analytics Machine Learning 100

IBM Big Data Hub

APRIL 25, 2023

To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy. To effectively use raw data, it often needs to be curated within a data warehouse.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

Cloudera

JANUARY 19, 2022

Cloudera Data Platform (CDP) scored among the top 10 vendors on all four Analytical Use Cases — Data Warehouse, Logical Data Warehouse, Data Lake and Operational Intelligence in the Critical Capabilities for Cloud Database Management Systems for Analytics Use Cases. and/or its affiliates in the U.S.

Reporting 90

Reporting Data Warehouse Data Lake Machine Learning 90

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. For our solution, we use Amazon Redshift to store the data.

Data Lake 103

Data Lake Data Warehouse Big Data Structured Data 103

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 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 94

Data Lake Data Warehouse Machine Learning Cost-Benefit 94

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 84

Data Lake Data Warehouse Machine Learning Cost-Benefit 84

Jet Global

APRIL 5, 2021

Time series modeling attempts to identify patterns in historical data and uses these patterns for forecasting. Most modern approaches to time series forecasting make use of machine learning or specialized software like Tidemark. . Best Financial Modeling Tools in 2021. DCF Model.

Modeling 98

Modeling Forecasting Metrics Finance 98

AWS Big Data

MAY 17, 2023

In 2020, as gyms shuttered and people looked for ways to stay active from the safety of their homes, the company’s annual revenue soared from $915 million in 2019 to $4 billion in 2021. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis. million at the end of 2022.

Data Warehouse 111

Data Warehouse Cost-Benefit Sales Data-driven 111

CIO Business Intelligence

JULY 10, 2023

For a decade, Edmunds, an online resource for automotive inventory and information, has been struggling to consolidate its data infrastructure. Now, with the infrastructure side of its data house in order, the California-based company is envisioning a bold new future with AI and machine learning (ML) at its core.

Data Warehouse 88

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 88

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

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The company’s Findability.ai

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

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 77

Data Lake Data Warehouse Data Architecture Reporting 77

datapine

SEPTEMBER 27, 2022

Our next book is dedicated to anyone who wants to start a career as a data scientist and is looking to get all the knowledge and skills in a way that is accessible and well-structured. 13) “SQL for Data Analysis: Advanced Techniques for Transforming Data Into Insights” by Cathy Tanimura. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. Learn more at DataRobot.com/Snowflake.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

CIO Business Intelligence

JUNE 21, 2023

The blueprint, called ‘Recipe for Growth,’ was announced in May 2021, roughly a year after Sysco appointed to its CEO position Kevin Hourican, a former top exec at CVS Health and CVS Pharmacy. The base engine for the e-commerce and data warehouse is all custom code. Machine learning was about comparing a lot of inputs.

IT 68

IT B2B Digital Transformation Sales 68

Jet Global

NOVEMBER 15, 2021

The rise of artificial intelligence and robotic process automation gives a hint as to where machine learning capacity is headed towards. Now that you have reached the end of this post about the best tax KPIs and metrics for 2021 reporting, it should be extremely evident how important the tax function is to any company.

Metrics 52

Metrics Reporting KPI Risk Management 52

Alation

DECEMBER 15, 2022

October 2020: Forrester Research names Alation a Leader in The Forrester Wave: Machine Learning Data Catalogs, Q4, 2020. May 2021: Inc Magazine names Alation a Best Workplace of 2021. June 2021: Dresner Advisory Services names Alation the #1 data catalog in its Data Catalog End-User Market Study for the 5th time.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

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

erwin

AUGUST 15, 2022

I was pricing for a data warehousing project with just 4 TBs of data, small by today’s standards. I chose “ON Demand” for up to 64 virtual CPUs and 448 GB of memory since I wanted this data warehouse to fit entirely, or at least mostly, within memory. Figure 1: Pricing for a 4 TB data warehouse in AWS.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

Sisense

AUGUST 16, 2021

Every other type of company is quickly transforming into a data company, whether it knows it or not, and the rapidly growing volumes of information organizations deal with have to get stored someplace. >>>Want to simplify data preparation? Solve your cloud warehouse dilemma with a cloud-native BI platform.

Data Warehouse 52

Data Warehouse Analytics Cost-Benefit Visualization 52

Cloudera

OCTOBER 13, 2021

Yet by far the biggest benefit in light of the challenges of more data and more users wanting to deploy more use cases for more insight is the simplified onboarding driving faster time to value.

ROI 98

ROI Optimization Data Warehouse Data-driven 98

AWS Big Data

FEBRUARY 22, 2023

The initial design had some additional challenges: Diverse data source – The data source in an ecommerce platform consists of structured, semi-structured, and unstructured data, which requires flexible data storage. This was an improvement over the weekly report, but still not fast enough to make quicker decisions.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

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 55

IoT Data-driven Data Lake Data Strategy 55

Cloudera

MARCH 22, 2022

Against that backdrop, Mergers and Acquisitions (M&A) activity has surged since 2021 as companies are trying to take advantage of the current environment and adapt to the new business realities shaped by the global pandemic. data engineering, data warehousing etc.);

Strategy 80

Strategy Cost-Benefit Risk Data Processing 80

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. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. 2021: The global cloud market size is at USD $445.3

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Cloudera

DECEMBER 14, 2020

If there’s one thing enterprises have learned in 2020, it’s how to navigate through uncertain times, and in 2021, organizations will likely have to continue navigating through a shifting landscape.

Big Data 71

Big Data Data-driven Data Collection Enterprise 71

datapine

MARCH 31, 2022

billion by the end of 2021. Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 This could involve anything from learning SQL to buying some textbooks on data warehouses.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

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. Srinivas Kandi is a Data Architect at AWS Professional Services. He leads customer engagements related to data lakes, analytics, and data warehouse modernizations.

Data Lake 91

Data Lake Data Processing Metadata Snapshot 91

datapine

NOVEMBER 11, 2021

Having flexible data integration is another important feature you should look for when investing in BI software for your business. The tool you choose should provide you with different storage options for your data such as a remote connection or being stored in a data warehouse. c) Join Data Sources.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

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. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 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. About the authors Avinash Kolluri is a Senior Solutions Architect at AWS.

Optimization 52

Optimization Forecasting Data Lake Metadata 52