TechCrunch

NOVEMBER 18, 2021

Now, OTA Insight — a company that builds business intelligence tools for one of the key sectors in that space, hotels — is announcing a round of funding as it too picks up more business on the upswing.

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TechCrunch

DECEMBER 18, 2023

Meltwater, which first made its name around media monitoring and then got active in business intelligence using AI and big data analytics techniques, is picking up a new investor.

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CIO

FEBRUARY 6, 2023

Executive leaders of small businesses and startups frequently lament that they lack the same access to data and insights that enterprise competitors and other more entrenched players enjoy. The solution: business intelligence tools While mindset is a difficult obstacle to overcome, technology and budget are easier ones to surmount.

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Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

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CTOvision

SEPTEMBER 17, 2016

Attunity is a leading provider of big data management software solutions that enable access, management, sharing and distribution of data, including Big Data, across heterogeneous enterprise platforms, organizations, and the cloud. They are all about moving and preparing data. Research Team.

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TechCrunch

JANUARY 26, 2022

Israeli startup Firebolt has been taking on Google’s BigQuery, Snowflake and others with a cloud data warehouse solution that it claims can run analytics on large datasets cheaper and faster than its competitors. Another sign of its growth is a big hire that the company is making. billion valuation.

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CTOvision

JUNE 17, 2014

It it he analyzes the Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends. Big Data and Analytics: 74,350 (100%).

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CTOvision

JULY 11, 2013

Organizations that rely on the big data processing power of Hadoop can come across problems when the raw data of Business Intelligence (BI) workflow creates a bottleneck. The analysts who need the data to.' Platfora_220.

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CTOvision

FEBRUARY 17, 2015

of their open data platform including new features which will be of high interest to any enterprise with data (all enterprises!). From their press release: Pentaho to Deliver On Demand Big Data Analytics at Scale on Amazon Web Services and Cloudera. Big Data Analytics with Cloudera Impala. “As Pentaho 5.3:

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Big Data Analytics AWS Data 109

Gorilla Logic

NOVEMBER 21, 2019

First, What Is Business Intelligence? Some people think that business intelligence is just retrieving information from a database, and creating reports and dashboards. At Gorilla Logic, we see business intelligence as much more than that. What’s the Big Deal about Big Data and Business Intelligence?

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CTOvision

AUGUST 1, 2015

“We are thrilled to be supporting such a disruptive business for enterprise cloud usage,” said T. Immuta is focused on addressing these concerns while providing a means to simply and securely gain access to disparate enterprise data through its platform.”. to manage the chaos of big data systems appeared first on CTOvision.com.

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CTOvision

JULY 31, 2013

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

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Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

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CTOvision

MARCH 13, 2015

It has been in the business intelligence sector competing with capabilities from Business Objects, Microstrategy and Oracle. A query layer with optimized query generation combined with multiple levels of in-memory caching provides enhanced performance for complex heterogeneous data. Big data interoperability.

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Business Intelligence SOA Analytics Analysis 89

Linux Academy

APRIL 10, 2019

In fact, much of the big push in the first two days here was on the enterprise, with big name after big name showing up as Google Cloud partners. Cloud Data Fusion. Big data got some big news today as well. A quick demo displayed a drag-and-drop UI for quickly migrating your data to the cloud.

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CTOvision

SEPTEMBER 17, 2014

Successfully deploying Hadoop as a core component or enterprise data hub within a symbiotic and interconnected big data ecosystem; integrating with existing relational data warehouse(s), data mart(s), and analytic systems, and supporting a wide range of user groups with different needs, skill sets, and workloads.

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The Accidental Successful CIO

NOVEMBER 6, 2013

CIOs need to learn how to ride the tsunami of big data Image Credit. CIOs have always had to find ways to deal with data. The arrival of the era of Big Data has almost overnight turned what was already a challenging task into a nearly impossible task. The Seven Steps To Getting Value Out Of Your Big Data.

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TechCrunch

DECEMBER 9, 2020

Farkash was one of the founders of Sisense, the successful business intelligence startup, and he has co-founded Firebolt with two others who were on Sisense’s founding team, Saar Bitner as COO and Ariel Yaroshevich as CTO. Sisense nabs $100M at a $1B+ valuation for accessible big data business analytics.

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CIO

DECEMBER 10, 2024

Oracle skills are common for database administrators, database developers, cloud architects, business intelligence analysts, data engineers, supply chain analysts, and more. Oracle enjoys wide adoption in the enterprise, thanks to a wide span of products and services for businesses across every industry.

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TechCrunch

OCTOBER 20, 2021

Its new Data Intelligence product enables organizations to make all of their mobile data accessible and actionable by their business intelligence and data science teams so that other departments, like engineering, product and marketing, can use that data to make better decisions about areas like new products and marketing campaigns.

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Altexsoft

APRIL 23, 2019

But how to turn unstructured data chunks into something useful? The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. What is business intelligence? Data cleaning/standardization.

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Business Intelligence Analytics Tools Strategy 93

Altexsoft

DECEMBER 17, 2019

In the business sphere, a certain area of technology aims at helping people make the right decisions, by supporting them with the right data. This field is called business intelligence or BI. What is SAP Business Intelligence? Database and data management solutions. SAP Business Intelligence.

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Dell EMC

MAY 28, 2020

Over all these years, it’s been interesting to see the evolution of big data and data warehousing, driven by the rise of artificial intelligence and widespread adoption of Hadoop.

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TechCrunch

JUNE 17, 2021

The second of these is to use Transform to simply make the work of the data team more efficient and easier, by turning the most repetitive parts of extracting insights into automated scripts that can be used and reused, giving the data team the ability to spend more time analyzing the data rather than just building data sets.

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CTOvision

AUGUST 3, 2015

commercial business intelligence firms. Their response underscored that the Radiant Group is very well postured itself for future government growth and has been applying capabilities to help customers leverage data science methods and Big Data technologies, and HumanGeo with the Radiant Group will help accelerate that.

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O'Reilly Media - Ideas

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

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TechCrunch

FEBRUARY 24, 2021

, and millions and perhaps billions of calls flung at the database server, data science teams can no longer just ask for all the data and start working with it immediately. Big data has led to the rise of data warehouses and data lakes (and apparently data lake houses ), infrastructure to make accessing data more robust and easy.

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TechCrunch

AUGUST 16, 2022

There’s been an explosion of business intelligence (BI) tools in recent years, or tools that analyze and convert raw data into info for use in decision making. Investments in them are on the rise, but companies are still struggling to become “data-driven” — at least, according to some survey results.

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CIO

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI).

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CIO

APRIL 22, 2022

For more details on data science bootcamps, see “ 15 best data science bootcamps for boosting your career.”. Data science certifications. Organizations need data scientists and analysts with expertise in techniques for analyzing data. Data science teams. Data science is generally a team discipline.

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TechCrunch

MARCH 16, 2021

. “Noogata unlocks the value of data by providing contextual, business-focused blocks that integrate seamlessly into enterprise data environments to generate actionable insights, predictions and recommendations. ” Image Credits: Noogata. We’ve obviously seen a plethora of startups in this space lately.

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CTOvision

MARCH 14, 2014

Pentaho Announces Record Year in 2013 with 83% Growth in Big Data and Embedded Analytics. March 12, 2014, San Francisco, CA —Delivering the future of analytics , Pentaho Corporation today announced that 2013 was another record year with 83 percent bookings growth from big data and embedded analytics customers over 2012.

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Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

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TechCrunch

JUNE 25, 2021

He acknowledges that traditional big data warehousing works quite well for business intelligence and analytics use cases. But that’s not real-time and also involves moving a lot of data from where it’s generated to a centralized warehouse. That whole model is breaking down.”

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TechCrunch

FEBRUARY 7, 2022

Location data is absolutely critical to such strategies, enabling leading enterprises to not only mitigate challenges, but unlock previously unseen opportunities. Throughout the COVID-19 recovery era, location data is set to be a core ingredient for driving business intelligence and building sustainable consumer loyalty.

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CTOvision

NOVEMBER 17, 2014

Their mission: To not only provide our customers with a business analytics platform that fuels growth and innovation, but also one that is fast to deploy, easy to use and extremely cost-effective. Pentaho’s products include platforms for data integration, big data, business analytics, and for embedding.

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InfoWorld

FEBRUARY 9, 2024

It is built around a data lake called OneLake, and brings together new and existing components from Microsoft Power BI, Azure Synapse, and Azure Data Factory into a single integrated environment. In many ways, Fabric is Microsoft’s answer to Google Cloud Dataplex. As of this writing, Fabric is in preview.

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