Ms SQL Girl

MARCH 30, 2015

Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Or if you are new to Power BI and want to learn more on how it can help your organization’s or team’s BI solution, come and learn!

Dashboards 40

Dashboards Visualization KPI Interactive 40

Cloudera

DECEMBER 19, 2018

Natural language analytics and streaming data analytics are emerging technologies that will impact the market. Cloud computing has passed the tipping point, with most organizations comfortable moving critical data and applications to the public cloud. In 2015, only 17% of organizations surveyed had big data implementations.

Data Warehouse 53

Data Warehouse Analytics Big Data Data Architecture 53

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service.

Enterprise 103

Enterprise Data Lake Data Collection Data-driven 103

CIO Business Intelligence

SEPTEMBER 6, 2022

It launched its first online-only brand, Very, in 2009 and finally abandoned its printed catalogs to go all-in online in 2015. He found a rich collection of data assets, including information on over 2.2 As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence.

IT 98

IT Forecasting Data Lake Enterprise 98

CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. This need has generated a market opportunity for a universal data distribution service. P Wei / Getty Images.

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

In(tegrate) the Clouds

DECEMBER 21, 2015

Merv Adrian (@merv) December 19, 2015. What is the most important news item about a software company that occurred in 2015 that belongs in the capsule, and why? The resurgence of Microsoft as a cloud company was big news in 2015. Who was the biggest tech disruptor in 2015? 2016 will be the year of the data lake.

Technology 45

Technology Internet of Things Digital Transformation Software 45

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

AWS Big Data

JANUARY 24, 2024

These formats enable ACID (atomicity, consistency, isolation, durability) transactions, upserts, and deletes, and advanced features such as time travel and snapshots that were previously only available in data warehouses. He is passionate about building products customers love and helping customers extract value from their data.

Snapshot 106

Snapshot Data Lake Metadata Optimization 106

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. Unless, of course, the rest of their data also resides in the Google Cloud. She has been focusing on Digital Analytics and marketing data in the past.

Analytics 57

Analytics Data Lake Testing Optimization 57

Cloudera

MARCH 2, 2018

While there are instances of data-driven efforts in the nonprofit sector, they are not as widespread as they can be. Bridgespan Group estimated in 2015 that only 6% of nonprofits use data to drive improvements in their work.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

BizAcuity

MAY 10, 2022

The cloud market is well on track to reach the expected $495 billion dollar mark by the end of 2022. Cloud washing is storing data on the cloud for use over the internet. The following timeline shows how the young cloud market blew almost as soon as it hit the markets. This gap sealed the domination of AWS in the market.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

BizAcuity

SEPTEMBER 5, 2022

Inability to get player level data from the operators. It does not make sense for most casino suppliers to opt for integrated data solutions like data warehouses or data lakes which are expensive to build and maintain. BizAcuity [ISO 9001:2015, 27001:2013 certified], is a data analytics consulting company.

Visualization 98

Visualization Analytics Data Warehouse Consulting 98

Cloudera

OCTOBER 17, 2023

Flink was launched in 2015 as the world’s first open source streaming-first distributed stream processing engine and has since grown to rival Spark in terms of popularity. The adoption of Flink mirrors growth in streaming data volumes and maturity of the streaming market. The answer from the community is a resounding yes.

Data-driven 78

Data-driven Enterprise IoT Data Warehouse 78

Sisense

FEBRUARY 24, 2021

In fact, in a 2019 edition of Industrial Management & Data Systems, a research team led by Yu Nie noted that prior to the year 2000, there were only six chief data officers in the world. But that number rose sharply afterwards, with the team noting there were over 1,000 people in this role by 2015.

Data Warehouse 69

Data Warehouse Big Data Metrics Visualization 69

AWS Big Data

FEBRUARY 1, 2023

Every day, Amazon devices process and analyze billions of transactions from global shipping, inventory, capacity, supply, sales, marketing, producers, and customer service teams. This data is used in procuring devices’ inventory to meet Amazon customers’ demands. About the authors Avinash Kolluri is a Senior Solutions Architect at AWS.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Cloudera

MAY 16, 2018

Let’s start with a $78 million “pump and dump” securities fraud example in which multiple perpetrators conspired to pump up the stock of a little-known coffee company and then dump their own shares on the market, profiting from the artificially inflated price. Market data: Coordinated trading among multiple parties.

Data Lake 42

Data Lake Risk Visualization Unstructured Data 42

Domino Data Lab

FEBRUARY 4, 2019

In my experience, hyper-specialization tends to seep into larger organizations in a special way… If a company is say, more than 10 years old, they probably began analytics work with a business intelligence team using a data warehouse. This isn’t doom and gloom, it’s an eventuality and it probably leads to better market efficiencies.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Alation

FEBRUARY 20, 2020

In 2016, people will realize the importance of scaling the generation of insights in parallel with the data – and finally have the ability to manage sprawl and realize new levels of insights from the data. 2016 will be the year of the “logical data warehouse.”

Data Warehouse 52

Data Warehouse Visualization Enterprise Data Science 52