AWS Big Data

MARCH 26, 2024

To learn more about supported analytics solutions, customer case studies, and additional resources, refer to Architecture Best Practices for Analytics & Big Data. Russell has over 15 years of analytics experience and is passionate about Big Data, event driven-architectures and building environmentally sustainable data pipelines.

Data Analytics 55

Data Analytics Analytics Big Data Data Lake 55

Smart Data Collective

APRIL 13, 2021

In the modern world of business, data is one of the most important resources for any organization trying to thrive. Business data is highly valuable for cybercriminals. They even go after meta data. Big data can reveal trade secrets, financial information, as well as passwords or access keys to crucial enterprise resources.

Testing 125

Testing Behavioral Analytics Data-driven Big Data 125

Smart Data Collective

OCTOBER 15, 2020

There are a number of different platforms for developing applications that rely on big data. Computer Weekly has stated that Linux is the “powerhouse of big data.” However, developing big data applications rely on the most up-to-date tools. Live Patching is Important for Big Data Applications.

Cost-Benefit 94

Cost-Benefit Big Data Business Objectives Technology 94

Smart Data Collective

APRIL 5, 2022

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. Indiana Lee discussed these benefits in an article for Drone Blog.

Data Collection 109

Data Collection Data Quality Big Data Data-driven 109

Bruno Aziza

MAY 7, 2017

The big data company, founded in 2008, was the first company to build a business around the professional deployment and support of Hadoop (MapR was created in 2009 and Hortonworks was founded in 2011). Cloudera’s recent IPO was probably one of the most anticipated public offerings of the season.

Big Data 54

Big Data 54

CIO Business Intelligence

JUNE 7, 2022

The Anomali Platform, our XDR solution, is a big data security offering that correlates all your organization’s telemetry (including public clouds) together with the largest repository of global threat intelligence, providing you with the power to detect and respond to ransomware at all stages of the attack.

Marketing 94

Marketing Machine Learning Dashboards Software 94

Cloudera

JANUARY 26, 2022

Big Data” became a topic of conversations and the term “Cloud” was coined. . In 2008, Cloudera was born. In 1991, the World Wide Web (WWW) launched, and distributed computing in the form of the client-server model started to take shape. As cloud offerings grew, so did the demand for higher agility, speed, and cost efficiency.

Data Processing 88

Data Processing IoT Cost-Benefit Digital Transformation 88

erwin

MAY 7, 2020

Growth of non-relational models, 2008-present. With increasing data volumes and digitization becoming the norm, organizations needed to store vast quantities of data regardless of format. NoSQL databases are well- suited for handling big data.

Data Architecture 131

Data Architecture Enterprise Modeling Sales 131

Smart Data Collective

OCTOBER 31, 2022

Fortunately, the first robo-advisors were created in 2008. Even after stocks and other assets could be purchased through an online brokerage, seeing consistent returns still required some knowledge of the stock market. Robo-advisors were a unique service that simplified investing for the masses.

Finance 138

Finance Cost-Benefit Marketing Statistics 138

Jet Global

AUGUST 24, 2020

Bo Stojanovich, SVP of Strategy and Alliances at insightsoftware, said: “We are extremely pleased to expand the business relationship with iVEDiX that began with their BI Alliance partnership with arcplan in 2008. iVEDiX has delivered brilliantly curated digital solutions for some of the world’s most progressive organizations.

IoT 80

IoT Analytics Deep Learning Digital Transformation 80

Smart Data Collective

MARCH 27, 2019

. Frugal living has become a major fad since the onset of the recession in 2008. Gaurav Deshpande of the Big Data and Analytics Hub from IBM highlighted this. Capturing and using location data requires tools that are capable of handling large volumes of data at high velocity. Consumers saved $3.1 Merging deals.

Big Data 65

Big Data Technology Risk Management 65

Paul Blogs on BI

MARCH 25, 2020

A few years ago, when the BI world was obsessed with Big Data, I started many of my BI presentations with the following formula: BIG DATA + BAD DATA = BIG BAD DATA. The COVID-19 situation needs a new formula: MISSING DATA + GOOD DATA = MISSING GOOD DATA.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.

Risk 111

Risk Modeling IT Risk Management 111

Boris Evelson

MAY 17, 2018

I’ve been watching this trend with great curiosity (and first wrote about it in 2008). On the one hand, software product vendors are slowly but surely migrating from just selling products to selling solutions — and solutions always require professional services. IBM led the trend when it acquired PwC Consulting in 2002.

Consulting 45

Consulting Analytics Software IT 45

Alation

FEBRUARY 20, 2020

For those of us who champion the power of data, the past five years have been an incredible ride thanks to the rise of big data. And here’s the catch: in spite of our recent data-driven achievements, the evidence suggests that humans may well be in the dark ages of data.

Big Data 52

Big Data Data-driven Statistics Metrics 52

AWS Big Data

JUNE 2, 2023

Having used Cognos since 2008, this was not just a lift-and-shift migration. We determined what dashboards and data we needed to migrate from our previous solution to QuickSight. After we made the decision to make QuickSight our BI solution, we were able to move our hotels from Cognos to QuickSight within 10 months.

Business Intelligence 52

Business Intelligence Enterprise Dashboards Sales 52

AWS Big Data

FEBRUARY 1, 2024

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting.

Data Warehouse 119

Data Warehouse Dashboards Risk Management Risk 119

AWS Big Data

APRIL 20, 2023

In the following sample code, we generate a report showing the quarterly sales for the year 2008. To do that, we join two Amazon Redshift tables using an Apache Spark DataFrame, run a predicate pushdown, aggregate and sort the data, and write the transformed data back to Amazon Redshift. where( col("year") == 2008).groupBy("qtr").sum("qtysold").select(

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

IBM Big Data Hub

JULY 31, 2023

Banks have the most to gain if they succeed (and the most to lose if they fail) at bringing their mainframe application and data estates up to modern standards of cloud-like flexibility, agility and innovation to meet customer demand.

Digital Transformation 54

Digital Transformation Uncertainty Risk Data Warehouse 54

Sisense

JULY 14, 2019

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data.

Software 75

Software Strategy Data Warehouse Modeling 75

AWS Big Data

FEBRUARY 16, 2023

Sub $ {AWS::ACCOUNT ID} PhysicalTableMap: PhysicalTable1: CustomSql: SqlQuery: "select sellerid, username, (firstname ||' '|| lastname) as name,city, sum(qtysold) as sales from sales, date, users where sales.sellerid = users.userid and sales.dateid = date.dateid and year = 2008 group by sellerid, username, name, city order by 5 desc limit 10" DataSourceArn: (..)

Data Warehouse 76

Data Warehouse Sales Visualization Data Processing 76

AWS Big Data

APRIL 25, 2023

Producer Flow Completion Rule – arn:aws:events: : :rule/producer-appflow-completion-event Producer Step Function – arn:aws:states: : :stateMachine:ProducerStateMachine-xxxx Producer Step Function Role – arn:aws:iam:: :role/service-role/producer-stepfunction-role After successful creation of the resources, go to the consumer account S3 bucket, consumer-databucket- (..)

Sales 68

Sales Visualization Software Marketing 68

Peter James Thomas

JUNE 20, 2019

A decade later, Gartner had some rather sobering thoughts to offer on the same subject: Gartner predicted that through 2008, about 60% of organizations that outsource customer-facing functions will see client defections and hidden costs that outweigh any potential cost savings. And reduced costs aren’t guaranteed […].

Cost-Benefit 55

Cost-Benefit Data Warehouse Consulting Data Science 55

AWS Big Data

FEBRUARY 1, 2024

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required. It is continuously updated.

Metadata 92

Metadata Modeling Data Processing Unstructured Data 92

IBM Big Data Hub

FEBRUARY 4, 2022

During the financial crisis in 2008, the trust levels of bank clients dipped. In Europe, it’s been used since 2008 for cross-border payments under the Single Euro Payments Area (SEPA). Improving reporting and analytics capabilities through financial services transactions. Evolution of ISO 20022.

Cost-Benefit 127

Cost-Benefit Machine Learning Reporting Marketing 127

AWS Big Data

APRIL 20, 2023

About the Authors Aniket Jiddigoudar is a Big Data Architect on the AWS Glue team. He works with customers to help improve their big data workloads. If we run a similar query from the Amazon Redshift Query Editor, we can see that there are actually five such venues within that time frame.

Visualization 74

Visualization Data Warehouse Big Data Data Lake 74

O'Reilly on Data

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

Occam's Razor

OCTOBER 14, 2014

But it is often a million times simpler to create your first set of benchmarks using your own data/performance. If you've read my first book Web Analytics: An Hour A Day, you know that I've advocated this strategy since 2008! There are four reasons, again from Web Analytics: An Hour A Day, from 2008 (!):

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

DECEMBER 9, 2021

National Payments Corporation of India (NPCI) is a division of the Reserve Bank of India created in 2008 to operate retail payments systems. . The organization wanted to improve understanding of its customers’ transactional behavior by creating user profiles based on the massive volumes of collected data.

Data Lake 87

Data Lake Data-driven Finance Machine Learning 87

AWS Big Data

APRIL 26, 2024

For User role ¸ you can create a new role or choose an existing role. For this post, we choose the role we created ( emr_tip_role ). Fine grained access control is done using Lake Formation. Modify the permissions as per your enterprise guidance and to comply with your security team.

Analytics 90

Analytics Data Lake Management Enterprise 90

John Wheeler

NOVEMBER 25, 2020

The eight defined Gartner IRM (formerly known as GRC) use-case domains are as follows: Digital Risk — Digital risk management technology integrates the management of risks of digital business components associated with digital products and services — such as cloud, mobile, social and big data — and third-party technologies. .

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

Smart Data Collective

JULY 31, 2022

Recent months have seen a steady decline in the euro, as inflation has hit a record high and economic growth has dropped to its lowest level since the financial crisis of 2008. There has been some recent evidence that the Eurozone economy is struggling.

Predictive Analytics 134

Predictive Analytics Analytics Uncertainty Forecasting 134

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. 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

datapine

NOVEMBER 19, 2019

Some more examples of AI applications can be found in various domains: in 2020 we will experience more AI in combination with big data in healthcare. Blockchain was invented in 2008 to serve as a ledger of the cryptocurrency bitcoin. One of the IT buzzwords you must take note of in 2020.

Technology 279

Technology Internet of Things IT IoT 279

Cloudera

MARCH 18, 2021

FRTB is designed to address some fundamental weaknesses that did not get addressed in the post-2008 financial crisis regulatory reforms. The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk.

Risk 56

Risk Machine Learning Risk Management Measurement 56

Cloudera

JANUARY 3, 2019

This year, we’re making a big one. On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. Each of these trends, of course, depends entirely on data. Our bet in 2008 has proven prescient.

IoT 75

IoT Machine Learning Data Warehouse Enterprise 75