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Tag: big data

Five Emerging Trends in Enterprise Data Management

As we creep further into 2022, it bears remembering how still less than a decade ago, the enterprise consumer market looked upon data solutions – mostly, data warehousing – as an unavoidable fixture of their solution Read more…

The Six New Rules of Data

Ajeet Singh, the co-founder and executive chairman of ThoughtSpot, may have resembled Doc Brown more than Moses. But that didn’t stop him from handing down six new rules of data yesterday at the Beyond 2022 conference. Read more…

ThoughtSpot Prepares for Next Decade of Data

ThoughtSpot turns 10 next month, a birthday that seems at odds with the enormous changes the data analytics company has lived through the past three years. Here at its Beyond 2022 conference in Las Vegas, Nevada, Thought Read more…

How to Stop Failing at Data

Innovate or die. It’s one of the few universal rules of business, and it’s one of the main reasons we continue to invest so heavily in data. Only through data can we get the key insights we need to innovate faster, s Read more…

AI That Works on Behalf of Workers

Individuals have grown used to the existence of invasive data collection and processing practices that benefit businesses but offer little to no value to them at the end of the day. But what if employees could turn the A Read more…

Building Continuous Data Observability at the Infrastructure Layer

Data is the lifeblood of business today, but getting it where it needs to go is hard, especially as data volumes grow. Data pipelines become the repeatable method for moving this digital crude, but monitoring the flows f Read more…

Analyze This: How to Prepare Your Unstructured Data in Six Steps

We live in a data-rich world where information is ours for the taking. But throwing just any data at your algorithm is a bad idea. With AI, small inconsistencies quickly become big ones. And those mistakes affect your de Read more…

What is Behavioral Data, and Why Should Businesses Use It?

What is behavioral data? Put simply, it’s what people and machines do. And with millions of connected devices – including smart phones, wearables, home appliances and more – in use every day, businesses now have un Read more…

Three Ways to Connect the Dots in a Decentralized Big Data World

There’s no shortage of data in this world. Neither is there a shortage of data-driven business plans. In fact, we are sitting on gluts of both. So why are companies still struggling to get the right data in front of th Read more…

Data Automation Poised to Explode in Popularity, Ascend.io Says

The amount of data automation deployed in the wild is quite small at the moment, but it’s set to grow significantly in the months to come as overworked data teams seek respites from grueling manual data tasks. That’s Read more…

Databricks Ships New ETL Data Pipeline Solution

Databricks today announced the general availability (GA) of Delta Live Tables (DLT), a new offering designed to simplify the building and maintenance of data pipelines for extract, transform, and load (ETL) processes usi Read more…

The Modernization of Data Engineering at Capital One

Like many enterprises, Capital One Financial Corp. is in the process of democratizing employee access to data to improve profitability, lower risk, and increase customer satisfaction. But lowering the barriers to data ac Read more…

Pinecone to Bolster Vector Search Engineering Team Following Series A

Pinecone Systems, a pioneer in enabling vector search, will be bolstering its engineering team to solidify its early momentum in the booming vector database business following its $28 million Series A, the company told D Read more…

Due Diligence: 3 Questions to Ask Your AI Startup

Separating AI hype from reality is not always easy. Yes, AI capabilities are evolving quickly, but translating that into real-world business benefits can be hard. Now Deloitte is stepping up with a guide to help buyers n Read more…

Can Streaming Graphs Clean Up the Data Pipeline Mess?

The previously separate worlds of graph databases and streaming data are coming together in an open source project called Quine. According to its creator, the Akka-based distributed framework is capable of returning Cyph Read more…

How Data-Centric AI Bolsters Deep Learning for the Small-Data Masses

It’s no coincidence that deep learning became popular in the AI community following the rise of big data, since neural networks require huge amounts of data to train. But organizations with much smaller data sets can b Read more…

StarTree Keeps Real-Time Analytics Fresh with New Options for Pinot

Since it was created at LinkedIn in 2015, interest in Apache Pinot--the distributed storage and analytics engine for real-time analytics--has steadily grown. But over the past year, the number of downloads and active par Read more…

Five Ways ML Can Drive Enterprise-Wide Business Impact in the Era of Big Data

While machine learning has been around–and growing more mainstream–for decades, its popularity is exploding in the era of big data with the market expected to expand at a 42% compound annual growth rate by 2024. With Read more…

Home Depot Finds DIY Success with Vector Search

Like all big companies, Home Depot has a list of IT projects that it wants to tackle. When the COVID pandemic hit two years ago and ecommerce activity surged, it accelerated one of them in particular: the development of Read more…

Big Data Study Cites Challenges, Predicts Growth

Tapping into big data analytics continues to be appealing for many companies who wish to mine their data for “actionable insights,” or information that can assist decision makers with bringing increased value to thei Read more…

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